Santee Experimental Forest, Watershed 80: streamflow, water chemistry, water table, and weather data

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Amatya, Devendra M.
Originator: Trettin, Carl C.
Publication_Date: 2021
Title:
Santee Experimental Forest, Watershed 80: streamflow, water chemistry, water table, and weather data
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Other_Citation_Details:
Updated 08 April 2024
Online_Linkage: https://doi.org/10.2737/RDS-2021-0043
Description:
Abstract:
This data publication contains streamflow, water chemistry, water table and weather data measured at Watershed 80 (WS80) on the Santee Experimental Forest near Cordesville, South Carolina starting in 1968. Watershed 80 is an approximately 160 hectare first-order control watershed that was established in 1968 as part of a paired watershed system (Watershed 77, established earlier in 1963, was the treatment watershed). Daily streamflow data are provided from 1968-2022, and 10/15-minute streamflow from 2003-2022. Water chemistry data collected, upstream from the WS80 weir, nearly daily are provided from 2004-2022, and approximately weekly water chemistry data are provided from November 1976-1982 and October 1989-1994. Groundwater water table levels were monitored manually approximately weekly from 1992-1995 in a network of 33 non-recording wells, and from 2003-2019 in a network of nine manual wells. Hourly water table levels collected electronically are provided from 2003-2022 at wells D and H. Daily rainfall totals and average air temperatures collected at meteorologic station 25 (Met25) are provided from 1990-2001, and hourly data (including soil temperature) are provided from 2001-2022. Weather data (air and soil temperature, relative humidity, wind speed and direction, solar and net radiation, etc.) collected at the WS80 tower are provided as 15-minute averages from 2010-2022. Non-recording manual gauge rainfall data collected approximately weekly from 1966-1984 are also provided for multiple gauges in WS80.
Purpose:
The purpose of Watershed 80 when established in 1968 was to serve as a control site for research on the effects of management treatments (taking place since 1976 on Watershed 77, the treatment watershed established in 1963) such as thinning and prescribed burns on the hydrology, water quality, soils, carbon dynamics and vegetation of low gradient, poorly drained forested watersheds in the South Carolina Coastal Plain.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1966
Ending_Date: 2022
Currentness_Reference:
Ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Description_of_Geographic_Extent:
Watershed 80 is an approximately 160 hectare (ha) first-order control watershed on the Santee Experimental Forest (SEF) that was established in 1968 as part of a paired watershed system (Watershed 77, established earlier in 1963, became the treatment watershed). The original watershed area was 206 ha, but on November 6, 2001, a culvert was installed across Yellowjacket Road draining a portion of Watershed 80 into Watershed 79, thus reducing its area by approximately 46 ha. Elevation ranges from 4 to 10 meters above sea level, and average watershed slope is 3%. The main stream channel is approximately 1375 meters long, and stage is monitored at the watershed outlet using a compound v-notch and a flat weir made of metal and concrete.

The predominant forest cover types on Watershed 80 are pine and mixed hardwoods. About 48% (<https://www.fws.gov/wetlands/> accessed on March 17, 2021) of the watershed is covered by wetlands, comprising bottomland hardwoods and wet pine flats. Although the watershed serves as a control for treatments imposed on Watershed 77, Watershed 80 did experience the effects of Hurricane Hugo in September 1989.
Bounding_Coordinates:
West_Bounding_Coordinate: -79.78153
East_Bounding_Coordinate: -79.76300
North_Bounding_Coordinate: 33.15007
South_Bounding_Coordinate: 33.13284
Bounding_Altitudes:
Altitude_Minimum: 4
Altitude_Maximum: 10
Altitude_Distance_Units: meters
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: climatologyMeteorologyAtmosphere
Theme_Keyword: environment
Theme_Keyword: inlandWaters
Theme:
Theme_Keyword_Thesaurus: National Research & Development Taxonomy
Theme_Keyword: Ecology, Ecosystems, & Environment
Theme_Keyword: Hydrology, watersheds, sedimentation
Theme_Keyword: Inventory, Monitoring, & Analysis
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: forested wetlands
Theme_Keyword: forested watersheds
Theme_Keyword: poorly drained soils
Theme_Keyword: outflow (runoff)
Theme_Keyword: water quality
Theme_Keyword: automated sampler
Theme_Keyword: Manta multiprobe
Theme_Keyword: Hanna multiprobe
Theme_Keyword: water table
Theme_Keyword: WL15
Theme_Keyword: WL16
Theme_Keyword: pressure transducer
Theme_Keyword: non-recording gauge
Theme_Keyword: precipitation
Theme_Keyword: air temperature
Theme_Keyword: soil temperature
Theme_Keyword: solar radiation
Theme_Keyword: net radiation
Theme_Keyword: photosynthetically active radiation
Theme_Keyword: PAR
Theme_Keyword: wind speed
Theme_Keyword: wind direction
Theme_Keyword: vapor pressure
Theme_Keyword: relative humidity
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Santee Experimental Forest
Place_Keyword: South Carolina
Place_Keyword: Coastal Plain
Place_Keyword: Watershed 80
Access_Constraints: None
Use_Constraints:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Amatya, Devendra M.; Trettin, Carl C. 2021. Santee Experimental Forest, Watershed 80: streamflow, water chemistry, water table, and weather data. Updated 08 April 2024. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2021-0043
Browse_Graphic:
Browse_Graphic_File_Name: \Supplements\WS80_historic_manual_wells.png
Browse_Graphic_File_Description:
Portable Network Graphics file containing a map showing the locations of the historic WS80 manual wells.
Browse_Graphic_File_Type: PNG
Browse_Graphic:
Browse_Graphic_File_Name: \Supplements\WS80_current_hydrology_instrumentation.png
Browse_Graphic_File_Description:
Portable Network Graphics file containing a map showing the locations of the WS80 auto-recording wells, weather stations, and stream gauging station.
Browse_Graphic_File_Type: PNG
Data_Set_Credit:
Funding for this project provided by USDA Forest Service, Southern Research Station, Center for Forest Watershed Research (https://www.fs.usda.gov/research/srs/centers/cfwr).


Author Information:

Devendra M. Amatya
USDA Forest Service, Southern Research Station
https://orcid.org/0000-0003-2641-9267

Carl C. Trettin
USDA Forest Service, Southern Research Station
https://orcid.org/0000-0003-0279-7191
Cross_Reference:
Citation_Information:
Originator: Amatya, Devendra M.
Originator: Trettin, Carl C.
Publication_Date: 2007
Title:
Development of watershed hydrologic research at Santee Experimental Forest, coastal South Carolina
Geospatial_Data_Presentation_Form: conference proceedings
Other_Citation_Details:
pp 180-190
Larger_Work_Citation:
Citation_Information:
Originator: Furniss, M. (ed.)
Originator: Clifton, C. (ed.)
Originator: Ronnenberg, K. (ed.)
Publication_Date: 2007
Title:
Advancing the fundamental sciences: proceedings of the Forest Service National Earth Sciences Conference
Geospatial_Data_Presentation_Form: conference proceedings
Series_Information:
Series_Name: General Technical Report
Issue_Identification: PNW-GTR-689, Vol I
Publication_Information:
Publication_Place: Portland, OR
Publisher: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station
Other_Citation_Details:
577 p.
Online_Linkage: https://doi.org/10.2737/PNW-GTR-689
Cross_Reference:
Citation_Information:
Originator: Amatya, Devendra M.
Originator: Trettin, Carl C.
Publication_Date: 2019
Title:
Long-term ecohydrologic monitoring: A case study from the Santee Experimental Forest, South Carolina
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: The Journal of South Carolina Water Resources
Issue_Identification: 6(1): 46-55
Online_Linkage: https://doi.org/10.34068/JSCWR.06.05
Online_Linkage: https://www.fs.usda.gov/research/treesearch/59583
Cross_Reference:
Citation_Information:
Originator: Amatya, Devendra M.
Originator: Herbert, Ssegane
Originator: Trettin, Carl C.
Originator: Hamidi, Mohammad Daud
Publication_Date: 2021
Title:
Evaluation of paired watershed runoff relationships since recovery from a major hurricane on a coastal forest—A basis for examining effects of Pinus palustris restoration on water yield
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Water
Issue_Identification: 13(21): 3121-
Online_Linkage: https://doi.org/10.3390/w13213121
Online_Linkage: https://www.fs.usda.gov/research/treesearch/63521
Cross_Reference:
Citation_Information:
Originator: Amatya, Devendra M.
Originator: Walega, A.
Originator: Callahan, T.J.
Originator: Morrison, A.
Originator: Vulava, V.
Originator: Hitchcock, D.R.
Originator: Williams, T.M.
Originator: Epps, T.
Publication_Date: 2022
Title:
Storm event analysis of four forested catchments on the Atlantic coastal plain using a modified SCS-CN rainfall-runoff model
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Journal of Hydrology
Issue_Identification: 608(1): 127772-
Online_Linkage: https://doi.org/10.1016/j.jhydrol.2022.127772
Online_Linkage: https://www.fs.usda.gov/research/treesearch/64177
Cross_Reference:
Citation_Information:
Originator: Amatya, Devendra M.
Originator: Walega, A.
Originator: Callahan, T.J.
Originator: Morrison, A.
Originator: Vulava, V.
Originator: Hitchcock, D.R.
Originator: Williams, T.M.
Originator: Epps, T.
Publication_Date: 2022
Title:
Storm event analysis of four forested catchments on the Atlantic coastal plain using a modified SCS-CN rainfall-runoff model
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Journal of Hydrology
Issue_Identification: 608(1): 127772-
Online_Linkage: https://doi.org/10.1016/j.jhydrol.2022.127772
Online_Linkage: https://www.fs.usda.gov/research/treesearch/64177
Cross_Reference:
Citation_Information:
Originator: Jayakaran, A.D.
Originator: Williams, T.M.
Originator: Ssegane, H.
Originator: Amatya, Devendra M.
Originator: Song, B.
Originator: Trettin, Carl C.
Publication_Date: 2014
Title:
Hurricane impacts on a pair of coastal forested watersheds: implications of selective hurricane damage to forest structure and streamflow dynamics
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Hydrology and Earth System Sciences
Issue_Identification: 18: 1151-1164
Online_Linkage: https://doi.org/10.5194/hess-18-1151-2014
Online_Linkage: https://www.fs.usda.gov/research/treesearch/46481
Cross_Reference:
Citation_Information:
Originator: Mukherjee, Sourav
Originator: Amatya, Devendra M.
Originator: Jalowska, Anna M.
Originator: Campbell, John L.
Originator: Johnson, Sherri L.
Originator: Elder, Kelly
Originator: Panda, Sudhanshu
Originator: Grace, Johnny M.
Originator: Kikoyo, Duncan
Publication_Date: 2023
Title:
Comparison of on-site versus NOAA’s extreme precipitation intensity-duration-frequency estimates for six forest headwater catchments across the continental United States
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Stochastic Environmental Research and Risk Assessment
Issue_Identification: 37: 4051-4070
Online_Linkage: https://doi.org/10.1007/s00477-023-02495-0
Online_Linkage: https://www.fs.usda.gov/research/treesearch/66590
Cross_Reference:
Citation_Information:
Originator: Mukherjee, Sourav
Originator: Amatya, Devendra M.
Originator: Campbell, John L.
Originator: Gryczkowski, Landon
Originator: Panda, Sudhanshu
Originator: Johnson, Sherri L.
Originator: Elder, Kelly
Originator: Jalowska, Anna M.
Originator: Caldwell, Peter
Originator: Grace, Johnny M.
Originator: Mlynski, Dariusz
Originator: Walega, Andrzej
Publication_Date: 2024
Title:
A watershed-scale multi-approach assessment of design flood discharge estimates used in hydrologic risk analyses for forest road stream crossings and culverts
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Journal of Hydrology
Issue_Identification: 632: 130698
Online_Linkage: https://doi.org/10.1016/j.jhydrol.2024.130698
Online_Linkage: https://www.fs.usda.gov/research/treesearch/67633
Back to Top
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
STREAMFLOW

Prior to September 1995, stage above the V-notch weir bottom was measured at 15-minute intervals using an analog-to-digital water level recording (ADR) device accurate to the nearest 0.01 foot (ft). Submerged flow (if any) was measured using an FW-1 recorder. Daily mean flow values were calculated first by translating the ADR tape recordings of 15-minute stage to digital values at the Coweeta Hydrologic Laboratory, then using those values to compute corresponding 15-minute flow rates with established stage-discharge relationship equations for the compound weir, and finally averaging those 15-minute flow rates to obtain the daily mean flows. A staff gauge was mounted on the face of the blockhouse to allow direct periodic comparison/calibration of ADR stage data to manual readings.

A Teledyne-ISCO 3210 flowmeter with an ultrasonic sensor was installed in September 1995, and it recorded stage with an accuracy of 0.01 ft. After 15-minute stage data were downloaded in the field and checked for errors in the office, a SAS program was used to calculate 15-minute flow rates using the stage-discharge relationship equations (embedded as a lookup table for every 0.01 ft increment in the program), and then a second SAS program was used to generate daily mean flows.

A Teledyne-ISCO 4210 flowmeter with an ultrasonic sensor was installed in August 2000 (replacing a 3210 unit) and measured stage with an accuracy of 0.01 ft. A staff gauge was mounted on the face of the blockhouse to allow direct comparison/calibration of stage data to manual readings. Starting in 2003, 10-minute flow rates were still calculated using the initial SAS program as described above, but daily mean flows were obtained by integrating these values using a Fortran executable program. In May 2021 Devendra Amatya extended the lookup table in the SAS program so that flow values for stream levels higher than the original maximum of 2.81 feet above the bottom of the v-notch weir could be calculated.

The Teledyne-ISCO 4210 flowmeter and sensor were replaced by a Signature Flow Meter with a TIENet 310 ultrasonic sensor on September 22, 2021, and the recording interval was changed from 10 to 15 minutes.


The accuracies of the sensors used to measure stream stage are listed here:

ADR (historic stage recording device): 0.01 ft

3210/4210 datalogger with ultrasonic level sensor: ±0.006 meters (m) at ≤0.3 m level change; ±0.009 m from 0.3 to 3.3 m level change

Signature Flow Meter with TIENet 310 ultrasonic sensor (current setup): ±0.006 m at ≤0.3 m level change; ±0.009 m at > 0.3 m level change

GL300/WL300 (backup datalogger/pressure transducer): ±0.1% of full scale at constant temperature, ±0.2% over 35° to 70°Fahrenheit (°F) (1.37° to 21.1°Celsius [°C]) range

GL400/WL400 (backup datalogger/pressure transducer): ±0.1% of full scale at constant temperature, ±0.2% over 35° to 70°F (1.37° to 21.1°C) range

GL500/WL400 (backup datalogger/pressure transducer, current setup): ±0.1% of full scale at constant temperature, ±0.2% over 35° to 70°F (1.37° to 21.1°C) range


Other events that may have affected data accuracy:

Beavers were active on the watershed from May 15 to September 30, 2003.

For 2/3/2003 9:15 and the period from 2/18/2003 8:10 to 2/19/2003 14:10, flow time points of xx:15 and xx:45 were changed to xx:10 and xx:40 to correspond with the remaining 10-minute time points for every hour.

From 12/15/2005 0:00 to 12/21/2005 10:30 the recording interval was 15, not 10, minutes (reverted to 10 afterwards).

Flow values from 10/12/2007 through 1/31/2008 are underestimates (weir plate replacement work resulted in ongoing leakage).

Between April 19-23, 2017 Robert Johnson Masonry removed the old bricks and rebuilt the brick structure on the south side of the weir wall and regrouted and sealed the angle iron running along the top of the weir wall.

A slight leak was detected on the south side of the weir plate on August 30, 2021. The leak was repaired on October 19, 2021, which required pumping water from the weir pool to a low level.


See methodology and process steps for additional accuracy & interpolation details.


WATER QUALITY

Laboratory analyses during the 1976-1982 period followed the protocols effective at the Forest Soils Laboratory at Duke University.

Detection limit for TP changed from <0.1 milligram per liter (mg/L) to <10 microgram/L for samples analyzed at Charleston lab starting with bottle collected 7/31/2005, but this ended with bottle collected 2/27/2007 as the Charleston lab was being shut down and analysis moved to Coweeta Hydrology Laboratory. The detection limit at Coweeta is now once again <0.01 mg/L.


The accuracy and resolution of the parameters measured by the Manta are listed below:

pH: accuracy = +/- 0.2 units; resolution = 0.01 units

temperature: accuracy (over the range of -5° to 50°C) = +/- 0.08°C; resolution = 0.01°C

specific conductance: accuracy (over the ranges of 0 - 5, 5 - 25 and 25 - 112 milliSiemens per centimeter (mS/cm)) = +/- 1% reading +/- 0.001, +/- 1% reading, and +/- 1% reading, respectively; resolution = to 4 digits

salinity: accuracy (over the range 0 - 70 Practical Salinity Scale(PSS) ) = +/- 1% reading +/- 1 count; resolution = 0.01 PSS

dissolved oxygen: accuracy (over the range 0 - 50 mg/L) = +/- 0.2 mg/L (for less than or equal to 20 mg/L) and +/- 0.6 mg/L (for greater than 20 mg/L)


The accuracy and resolution of pH measurements made using the PC 300 Meter are listed below:

pH: accuracy = +/- 0.01 units; resolution = 0.01 units


The accuracy and resolution of the parameters measured by the Hanna are listed below:

pH: accuracy = +/- 0.02 units; resolution = 0.01 units

temperature: accuracy = +/- 0.15°C; resolution = 0.01°C

specific conductance: accuracy = +/- 1% of reading; resolution = 0.001 mS/cm from 0.000 to 9.999 mS/cm

salinity: accuracy = +/- 2% of reading; resolution = 0.01 PSU

dissolved oxygen: accuracy (over the range 0.00 to 30.00 mg/L) = +/- 1.5% of the reading or +/- 0.10 mg/L, whichever is greater; resolution = 0.01 mg/L


WATER TABLE

From 1992 to 1995 measurement of the network of 33 manual wells was conducted approximately every two weeks using a steel tape and pen flashlight (measuring from the top of the well to the water surface).

Starting in 2003, manual measurement of water table in the well transects was conducted using a Hydrolite device (measuring from the top of the well to the water surface). Starting in May 2009 this measurement was performed using a Solinst Mini 101 water level meter. Original water level measurements were in feet (with a precision of 0.01 feet). These measurements were later converted to centimeters below ground surface and elevation in meters (m) relative to mean sea level using the measured elevation of the ground surface at the well or elevation of top of the well subtracted by the height of the well to obtain the ground surface elevation.

Automated measurements for wells D and H (starting in 2003/2005) were originally in feet above the pressure transducer (with a precision of 0.01 feet). These measurements were later converted to centimeters below ground surface and elevation in meters relative to mean sea level using the same method as above


The accuracies of the instruments used to monitor water table are listed here:

Manual well (with Hydrolite or Solinst device): 0.3 cm

WL15/16 datalogger/pressure transducer: ±0.1% of full scale at constant temperature, ±0.2% over 35°F to 70°F (1.37° to 21.1°C) range


WEATHER

The network of nonrecording manual rain gauges on Watershed WS80 (WS80_nonrecording_gauges_1966-1984.csv) was checked sporadically (the purpose of the network was to obtain a better estimate of rainfall on the watershed).

The original units in Met_25_historic_data.csv for rain were centimeters; for the sake of later consistency the data have been converted to millimeters (mm).

Manual rainfall measurements were made using a 0.20 meter (8-inch) diameter National Weather Service (NWS) Standard Rain Gauge with its opening 0.97 meters (m) from the ground.


The accuracies of the sensors used to measure the historic daily average air temperature and daily rainfall are listed here:

Hygrothermograph: 0.5°C

Belfort 20 cm gauge (rainfall): 0.13 cm

Standard NWS gauge with dipstick (manual rainfall measurement): 0.03 cm


Starting in February 1996, both hourly air temperature and precipitation were recorded by sensors linked to an Omnidata 800 datalogger. Air temperature data were checked against standard maximum (max)/minimum (min) and ambient thermometers (at 1.42 m and 1.57 m height above ground, respectively, inside a ventilated wooden enclosure).

Starting in September 2001 both instantaneous hourly air and soil temperature and rainfall were recorded electronically by sensors linked to Onset Hobo dataloggers and downloaded directly to a laptop computer in the field. Rainfall event data recorded by an Onset tipping bucket gauge were calibrated to the total rainfall collected by the adjacent NWS manual gauge between download intervals. Air temperature (measured at a height of 1.27 m inside a ventilated wooden enclosure) data were checked against standard max/min and ambient thermometers (measured at 1.42 m and 1.57 m heights, respectively, inside the same enclosure).


The accuracies of the sensors used to measure hourly air and soil temperature and to record rainfall totals and event times are listed here:

HOBO TMC1-HD (air temperature): ±0.25°C from 0° to 50°C (±0.45°F from 32° to 122°F)

HOBO TMC6-HD (soil temperature): ±0.25°C from 0° to 50°C (±0.45°F from 32° to 122°F)

Standard NWS gauge with dipstick (manual rainfall measurement): 0.03 cm

RG2M (tipping bucket gauge): 0.25 mm

Starting in 2010, a suite of climatic variables were recorded electronically on a 15-minute interval by sensors installed on booms located above the forest canopy, about 90 feet (ft) above the ground surface, and linked to a Campbell Scientific CR1000 datalogger.


The accuracies of the sensors used at the WS80 Tower are listed here:

HMP45C (air temperature): ±0.3°C at 0°C; ±0.2°C at 20°C; ±0.3°C at 40°C

HMP60 (air temperature): ±0.6°C

HC2S3 (air temperature): ±0.1°C with standard configuration settings (at 23°C)

HMP155A (air temperature): ±(0.226 - 0.0028 x temperature)°C (-80° to +20°C); ±(0.055 + 0.0057 x temperature)°C (+20° to +60°C)

HMP45C (relative humidity): ±2% (0% to 90% RH); ±3% (90% to 100% RH)

HMP60 (relative humidity): at -40° to 0°C, ±3% (0 to 90% RH) and ±7% (90 to 100% RH); at 0° to 40°C, ±3% (0 to 90% RH) and ±5% (90 to 100% RH)

HC2S3 (relative humidity): ±0.8% RH with standard configuration settings (at 23°C)

HMP155A (relative humidity): ±(1.0 + 0.008 × reading) % RH (at -20° to 40°C)

LI-200X (solar radiation): Absolute error in natural daylight ±5% maximum (±3% typical)

Apogee SP-110 (solar radiation): Sensitivity 0.2 mV per W mˉ²(Calibration Uncertainty) ±5%

NR-LITE (net radiation): 10 µV W-1m2 (nominal)

NR-LITE2 (net radiation): 10 µV W-1m2 (nominal)

LI-190 (PAR): Sensitivity 5 μA to 10 μA per 1,000 μmol s-1 m-2

Met One 34A/B (wind speed): ±0.12 m s-1 (±0.25 mph) for wind speed < 10.1 m s-1 (22.7 mph); ±1.1% of reading for wind speeds > 10.1 m s-1 (22.7 mph)

Met One 34A/B (wind direction): ±4°

CS 107 (soil temperature): ±0.2°C (over 0° to 50°C range)


The following events may have affected the accuracy of the hourly Met data:

Event data from Met5 used to estimate event times for Met25 between 2/25/2004 and 5/15/2004.

Between 11:21 and 12:21 on 3/27/2008 the soil sensor cable was clipped.

Soil temp data lost for a brief period after 6:40 on 9/24/2008 (cable jerked out of logger).

Block of temperature data missing after 3/31/2009 10:05 because of failure to relaunch the datalogger.

On 7/29/2009, the existing H08-02 temperature datalogger was replaced by a new unit, the HOBO U12 4-External Channel Outdoor/Industrial Datalogger, SN (using channels 3 and 4 for air and soil temp, respectively).

On 12/29/2009 at 0:00, temperature logger noted bad battery (probably because of extreme cold temperatures).

On 1/10/2010 at 3:00, temperature logger noted bad battery (probably because of extreme cold temperatures).

On 1/31/2010 at 8:00, temperature logger noted bad battery (probably because of extreme cold temperatures).

On 12/7/2010 at 4:00, temperature logger noted bad battery (probably because of extreme cold temperatures).

Failure to relaunch temperature logger results in loss of air and soil temperature data between 3/22/2012 15:00 and 4/3/2012 11:00.

Onset tipping bucket gauge replaced by Sierra-Misco Model 2501 unit on 1/10/2014.

Suspiciously high, spiky temperature data between 1/15/2014 and 1/27/2014 (slats missing from wooden enclosure).

Snowfall, sleet and freezing rain between 1/27/2014 and 2/18/2014 periods.

Tipping bucket gauge funnel clogged during early April; used rainfall event times from Lotti Rd to estimate event timing.

Reinstalled RG2-M tipping bucket gauge (with Hobo UA-003-64 Pendant temp/event logger) on 5/2/2014.

Temperature logger defective after weed-whacking episode on 7/28/2014 around 14:00. Defective units replaced by new temperature logger/sensors on 8/13/2014.

Suspiciously high, spiky temperature data between 12/12/2014 and 12/19/2014 (slats missing from wooden enclosure).

Suspiciously high, spiky air temperature data between 1/16/2015 and 1/27/2015 (slats missing from wooden enclosure).

Also see similar data between 2/3/2015 and 2/12/2015.

See spiky air temperature data from 3/7/2015 to 3/10/2015, and 3/15/2015 to 3/17/2015, too.

Because manual gauge overflowed, data for massive rain event that occurred during the 10/2/2015 to 10/8/2015 period was extrapolated using the rainfall ratio from 10/1/2015 to 10/2/2015.

See spiky air temperature data from 10/13/2015 to 10/29/2015.

See spiky air temperature data from 12/8/2015 to 12/9/2015.

See spiky, unusable air temperature data from 12/12/2015 to 12/29/2015.

Occasional spiky air temperature values observed from 1/16/2015 through 12/7/2015 resulting from missing slats in wooden enclosure.

New temperature enclosure installed by RFP and AH on 3/3/2016 (soil temp sensor not deployed yet).

Soil temperature sensor installed 3/10/2016 (from 3/3/2016 to 3/10/2016 sensor was deployed in the air).

Replaced air temperature sensor on 6/21/2016.

Used pendant rainfall logger in RG2M gauge starting 8/14/2017 (previously used backup tipping bucket gauge).

On 1/3/2018 there was freezing rain and snowfall, and after that time snow froze and thawed slowly over several days. No accurate event data were recorded during or immediately after this freezing rain and snow event, so we used Pluvio weighing bucket percentages and post-event Met25 meltwater total to estimate hourly precipitation.

Estimated hourly precipitation on 1/3/2018, 1/4/2018 and 1/8/2018 based on manual gauge meltwater total and data from Santee Headquarters (HQ).

Replaced air temperature sensor on 5/2/2018.

Replaced manual rain gauge stand on 9/27/2018.

Installed and launched RG2M tipping bucket gauge with new reed switch in a new location inside the fenced enclosure on 10/4/2018.

Roderick Sumpter trimmed weeds inside the fenced enclosure on 3/26/2019 and bushhogged the clearing on 3/28/2019.

Needed to use pendant rainfall event data between 1/26/2021 and 2/10/2021 because funnel askew on backup gauge; returned to using backup gauge data after 2/10/2021.

Mr. Sumpter weed-whacked all met station interior areas on 4/20/2021.

Soil temperature sensor cable broke on 7/13/2021 while desiccant packs were being replaced; replaced soil temperature sensor on 7/21/2021.


The following events may have affected the accuracy of the tower data:

Original units for Ave_solar variable were kilowatts per square meter (kW/m²), but they were changed to watts per square meter (W/m²) to be consistent with data collected starting in October 2014.

Campbell Scientific CR1000 Weather Station installed 3/17/2010; sensor array attached to lift that can raise it to near the top of the 90-ft above-canopy tower.

Lightning strike on 8/13/2010 knocked out photosynthetically active radiation (PAR), solar radiation and windspeed/wind direction sensors.

NR-LITE net radiometer installed on 9/16/2010.

Lightning strike between 15:15 and 15:30 on 8/29/2011 disabled PAR, solar radiation, windspeed and soil temperature sensors.

Windset removed and soil temperature sensor replaced on 8/30/2011.

Array lowered around 12:40 on 9/27/2011 to reinstall 34B windset; array raised and functional by 13:50.

Array lowered around 13:50 on 10/3/2011 to replace PAR and solar radiation sensors; array raised and functional by 15:10.

Array lowered around 8:35 on 10/14/2011 in order to remove NR-LITE and 34B windset (bad reed switch); array raised by 9:55.

Array lowered around 11:00 on 10/25/2011 in order to test logger and 34B windset cable; array raised by 11:50.

Array lowered around 11:49 on 11/7/2011 in order to re-install 34B windset; array raised by 12:38.

Array lowered around 9:45 on 11/22/2011 in order to re-install NR-LITE; array raised by 11:00 (NR-LITE functional at 11:04).

Array lowered on 7/17/2012 at 9:36 DST to remove HMP45C sensor to send to Campbell Scientific (CS) for calibration; array up again by 10:08 DST.

Array lowered on 8/8/2012 at 9:35 DST to replace HMP45C sensor; array up and all sensors functional by 10:25 DST.

Array lowered on 1/23/2013 at 13:55 EST to remove NR-LITE sensor. Array up again by 14:45 EST.

Array lowered on 2/28/2013 at 12:25 EST to reinstall NR-LITE sensor. Array up again by 13:25 EST, and NR-LITE functional by 14:00.

Array lowered on 7/17/2013 at 8:50 EST to remove HMP45C, LI-200X and LI-190 for calibration. Array up again by 10:00 EST.

Array lowered on 8/8/2013 at 9:10 EST to reinstall HMP45C, LI-200X and LI-190 and to remove 34B windset. Array up again by 12:30 EST.

Array lowered on 9/4/2013 at 8:54 EST to reinstall 34B windset. Array up again by 11:28 EST.

On 10/22/2014, the HMP45C sensor was removed to send to CS for calibration and the LI-200X sensor was replaced by the SP-110 Apogee sensor.

The CR1000 datalogger (using v8 program) will record 15-minute averages of solar radiation in W/m², not kW/m², from this point forward.

The HMP45C was reinstalled on 11/13/2014.

NR-LITE removed 4/21/2015 to send to CS for calibration.

NR-LITE reinstalled on 6/4/2015.

Met One 34B windset and PAR sensor removed on 8/13/2015 to send to CS for refurbishment/calibration.

Reinstalled 34B windset and LI-190 PAR sensor on 9/3/2015.

Removed HMP45C on 11/18/2015 to send to CS for calibration.

Reinstalled HMP45C on 12/29/2015.

Replaced BP-12 battery on 4/20/2016.

Removed Apogee SP-110 on 6/8/2016 to send out for calibration.

Reinstalled Apogee SP-110 and replaced LI-190 PAR sensor mount on 6/24/2016.

Data missing from 10/4/2016 13:00 to 13:30 (related to connection problems).

Replaced BP-12 battery on 11/8/2016.

Removed HMP45C on 1/11/2017 to send to CS for calibration.

Reinstalled HMP45C on 2/2/2017.

Replaced HMP45C with HC2S3 Rotronic sensor on 4/21/2017 around 9:45 AM (problem with RH data).

Removed NR-LITE on 5/31/2017 to send to CS for calibration; noticed that weight for 34B weather vane was absent it was found buried at base of tower, cleaned and reattached.

Reinstalled NR-LITE on 6/30/2017.

Filled in NAN values for solar radiation between 3/30/2017 and 6/30/2017 by interpolation.

Replaced spurious net radiometer readings during NR-LITE absence with "NULL" code.

Where possible, filled in missing data at 10:00 timepoint on 6/30/2017 by interpolation.

Where possible, filled in missing data at 11:30 timepoint on 7/7/2017 by interpolation.

Removed 34B windset and LI-190 PAR sensor on 8/2/2017 to send to CS for refurbishment/calibration.

Reinstalled 34B windset ant LI-190 PAR sensor on 8/23/2017.

Replaced most missing data from 8/23/2017 10:30 timepoint by interpolation.

Removed HC2S3 sensor on 10/11/2017 to send to CS for calibration/repair.

Switched CR1000 datalogger for a calibrated unit and reformatted CFM-100 on 11/1/2017. Where possible, replaced missing data by interpolation at 11/1/2017 10:00 timepoint.

Replaced NP-12 battery on 11/2/2017.

Reinstalled HC2S3 sensor (and radiation shield) on 11/7/2017.

Removed Apogee SP-110 to send for recalibration on 6/20/2018.
Reinstalled Apogee SP-110 on 7/11/2018.

Removed HC2S3 sensor on 10/23/2018 to send to CS for recalibration.

Reinstalled HC2S3 sensor on 11/16/2018.

Aberrant air temperature (AT) and relative humidity (RH) minima/maxima observed on 3/10/2019, 3/13/2019 and 3/16/2019 (replaced values by interpolation).

Aberrant AT and RH minima/maxima observed on 4/10/2019, 4/17/2019, 4/22/2019, 4/23/2019, and 4/27/2019 (replaced values by interpolation).

Aberrant AT and RH minima/maxima observed on 5/6/2019, 5/9/2019, 5/14/2019, 5/15/2019, 5/24/2019, 5/30/2019, and 5/31/2019 (replaced values by interpolation).

Removed NR-LITE to send to CS for calibration on 6/25/2019.

Spurious AT average values observed 6/22/2019 18:45, 6/23/2019 12:30 to 13:00, 6/23/2019 19:15, 6/24/2019 9:15, 6/24/2019 10:15, and 6/25/2019 9:30 to 9:45.

Aberrant AT and RH minima/maxima/average observed on 6/1/2019, 6/8/2019, 6/9/2019, 6/11/2019, 6/15/2019, 6/16/2019, 6/18/2019, 6/19/2019, 6/21/2019, 6/22/2019, 6/23/2019, 6/24/2019, 6/25/2019, and 6/26/2019 (replaced values by interpolation).

Aberrant AT and RH minima/maxima/average observed on 7/4/2019, 7/16/2019, 7/28/2019 and 7/29/2019 (replaced values by interpolation).

Reinstalled NR-LITE and replaced HC2S3 sensor and shield with HMP155A sensor and 14-plate shield on 7/31/2019.

Removed LI-190 PAR sensor to send to CS for calibration on 8/7/2019.

Reinstalled LI-190 and installed recently refurbished Met One 34B windset (SN U13669, replacing 34A unit) on 8/30/2019.

Some data lost for unknown reason between 10:45 and 19:45 that day.

Data lost between 9/3/2019 and 9/5/2019 during Hurricane Dorian, also on 9/7/2019, 9/10/2019 and 9/11/2019.

Replaced NP-12 battery and reformatted CFM100 module on 9/12/2019.

Experienced problems connecting to CR1000 on 9/13/2019, but did connect and all data had been recorded since yesterday.

Removed NR-LITE to send to CS for calibration on 1/8/2020.

Reinstalled NR-LITE on 3/6/2020.

Removed SP-110 and HMP155A (just sensor, not cable) to send for calibration on 7/15/2020 around 9:30 EST.

Reinstalled SP-110 and HMP155A on 8/12/2020.

Replaced NP-12 battery and reformatted CFM100 module on 8/26/2020.

Datalogger unexpectedly stopped recording data at 9/8/2020 18:00 for unknown reason; restarted on 9/21/2020 but battery voltage is erratic.

All data lost from 9/8/2020 18:00 to 9/21/2020 13:45 because of unexplained battery failure.

With help from Brandon Banham (CS), installed new OS on 9/23/2020; also resent datalogger program v9 rev5 to CR1000.

Used linear interpolation to fill in missing data from 9/23/2020 13:15 to 13:30.

Battery voltage again drops between 10/7/2020 and 10/19/2020, but no apparent data loss.

Replaced NR-LITE net radiometer with new NR-LITE2 on 11/5/2020.

Windspeed data suspect or missing (for unknown reason) between 5/17/2021 and 5/22/2021, so all data during that period have been omitted.

Likewise, windspeed and wind direction data largely missing after 6/10/2021, so all data starting 6/11/2021 through 8/26/2021 have been omitted.

Solar radiation sensor malfunctioned after 7/18/2021, so all data starting 7/19/2021 through 8/26/2021 have been omitted.

Installed refurbished 34B windset and new connect cable, as well as new SP-110 pyranometer with quick connect feature, on 8/26/2021; also removed old SP-110, HMP155A and LI-190 (latter two sensors to be sent to CS for calibration).

Reinstalled the recalibrated HMP155A and LI-190 sensors on 9/28/2021.

"NAN" observed in solar radiation data on 1/30/2022 14:00; used interpolation to replace missing value.

Soil temperature data lost after 2/8/2022 0:00 because of cable cut/break.

WS80 Tower decomissioned on 4/12/2022; all sensors and datalogger box removed to lab (eddy covariance system to be installed during the week of April 25).
Logical_Consistency_Report:
STREAMFLOW

Visual inspection and comparison with flow data from other SEF watershed flow gauging stations (as well as daily rainfall data from Met25 station) were used to expose anomalous data.

Beavers were active on the watershed from 5/15/2003 to 9/30/2003. The measurement interval changed briefly from 10 minutes to 15 minutes (and then back again) between 12/15/2005 0:00 and 12/21/2005 10:30. Flow rates from 10/12/2007 through 1/31/2008 are underestimates (weir plate replacement work resulted in ongoing leakage during that period).

Large logs were removed from the weir on 12/21/2009 (one log) and 1/20/2010 (two logs). The logs had become trapped in the v-notch during flow events that started on 12/18/2009 and 1/16/2010, respectively. This caused damming of water behind the logs that resulted in somewhat higher stage values, and thus higher flow rates, than normally would have been observed during the course of the events.


WATER QUALITY

For the 1976-1982 period, tests for internal consistency and repeatability are not known at this time.

For analyses conducted at the Charleston laboratory between 2003 to 2007, analytical instruments were calibrated with known standards before every sample run, and laboratory analyses of sample sets always included at least 10% duplicate, blank and spiked samples for quality assurance.

Calibration and field use of the Manta multiprobe was performed as recommended in the "Manta Water Quality Multiprobe Startup Guide," version dated June 4, 2004 (Eureka Environmental Engineering, 2113 Wells Branch Parkway Suite 4400, Austin TX 78728).

Problems with the pH sensor in the Manta multiprobe started to develop in March 2016, and we switched to measuring pH in the field with the Oakton PC 300 Waterproof Hand-held pH/Conductivity/TDS/Temperature Meter on October 28, 2016. Calibration and field use of the PC 300 Meter were performed as recommended in the Instruction Manual for the PC 300, rev. March 5, 2008 (Oakton Instruments, P.O. Box 5136, Vernon Hills IL 60061).

In September 2017 we started using the Hanna HI98194 multiprobe for measurement of pH, temperature, specific conductance, salinity and dissolved oxygen. Calibration and field use of the HI98194 multiprobe were performed as recommended in the Instruction Manual for the HI98194, HI98195 and HI98196 Multiparameter Meters (Hanna Instruments Inc., Highland Industrial Park, 584 Park East Drive, Woonsocket RI 02895).


WATER TABLE

Visual inspection of electronically plotted water table data and comparison with precipitation data from the Met25 weather station on this watershed (until July 2016) and from the Witherbee RAWS website (https://raws.dri.edu/cgi-bin/rawMAIN.pl?laSWIT) thereafter was employed to expose anomalous values for the expected water table response to rainfall. We resumed comparison of water table data with precipitation data from the Met25 weather station in April 2022.


WEATHER

Visual inspection of electronically plotted data and comparison with related data from various SEF stations were employed to expose anomalous values.

Prior to 1996, the rain gauges were usually read only after rain had fallen, and also not on weekends or holidays. More than one precipitation event may have occurred between readings.
Completeness_Report:
All missing data are indicated by blank cells.

In the well data 'Water Table Depth BGS (cm)' and 'Elevation of water table ASL (m)' are blank and the "Dry" column contains the value "DRY" for periods where the water table was below the detection limit of the sensor.


STREAMFLOW

Flow monitoring was discontinued starting 11/1/1981 but was resumed on 11/1/1989 following the devastation caused by Hurricane Hugo on 9/21/1989 (Hook et al. 1991). Since then, there have been a number of brief periods with missing data, largely the result of equipment failures or personnel vacancies.

No reliable flow data are available for Watershed 80 from 6/28/1999 through 1/1/2003. However, South Carolina was experiencing a severe drought during much of this period (SC Department of Natural Resources declared that the drought had ended in Berkeley County in November 2002) and there was little or no flow at the gauging station during the drought. Since then there have been brief periods of missing data, largely as a result of equipment failures.

Because the estimated peak stages during both the 2015 extreme rain event and 2016 Hurricane Matthew exceeded the range of the stage-discharge lookup table in our SAS program, flow values during those periods have been omitted from the database.

Flow data between 9/20/2018 4:00 and 10/5/2018 14:30 were affected by beaver activity and therefore have been omitted from the database.


WATER QUALITY

Approximately weekly water samples were collected upstream of the Watershed 80 weir between 11/4/1976 and 11/3/1982, and then again between 10/13/1989 and 12/29/1994.

Starting in 2003, stream water samples were collected by the automated sampler during periods of active flow on a flow-proportional basis; during periods without flow no samples were collected. Infrequent equipment malfunctions also occasionally resulted in samples being missed. While the Center for Forested Wetlands Research was in the process of relocating its offices and labs from Charleston to the Santee Experimental Forest in Cordesville, collection of water quality samples at the WS80 gauging station was discontinued temporarily between March and December 2007.

Missing Data (2004 - 2007):
There are some possible outliers, including the following dates and analytes (concentration in mg/L in parentheses):

02/28/2004 03:18 NH4 (0.69)
01/14/2006 22:19 NO3/NO2 (1.4)
02/04/2006 09:38 NO3/NO2 (1.21)
08/11/2006 02:09 TDN (4.72), NH4 (2.16)
12/31/2007 12:57 SO4 (31.809)

Concentration values outside five standard deviations of the mean were considered possible outliers.

None of the potential reasons for a number of possible outliers can be confirmed, and so these values have been retained in the data and it is at the discretion of the user to exclude them.


Manta data missing for following periods:
06/23/2006 (DO values removed; at or above 100%)
06/29/2007 (DO values removed; at or above 100%)

All pH, conductivity and salinity data for 2006 and 2007 were removed because of questions about instrument calibration during the period.


Outliers, Negative Values and Missing Data (2008 - 2022):

There are a number of possible outliers, including the following dates and analytes:
01/20/2008 10:03 Ca (34.45)
01/20/2008 10:03 Mg (2.9)
01/21/2008 20:17 SO4 (25.16)
02/13/2008 17:21 SO4 (29.647)
08/23/2008 05:59 K (7.56)
08/27/2008 04:35 NH4 (0.64)
08/27/2008 04:35 DOC (64.24)
06/12/2009 06:30 NH4 (1.066)
06/13/2009 02:51 NH4 (0.727)
06/13/2009 19:20 NH4 (0.722)
06/15/2009 12:10 NH4 (0.643)
06/18/2009 02:51 NH4 (0.622)
07/19/2009 00:34 NH4 (0.693)
11/12/2009 23:22 SO4 (26.633)
11/23/2009 09:59 SO4 (29.197)
12/02/2009 22:29 Mg (2.88)
12/03/2009 03:25 Mg (2.9)
12/03/2009 10:11 Br (0.263)
12/07/2009 09:03 Cl (84.74)
01/08/2010 18:59 Ca (31.88)
10/01/2010 10:12 Cl (45.437)
02/12/2013 18:45 SO4 (39.956)
02/13/2013 07:31 SO4 (38.692)
02/13/2013 17:13 SO4 (33.949)
02/14/2013 07:51 SO4 (32.161)
04/06/2014 14:35 NO3/NO2 (0.747)
09/22/2014 18:04 NO3/NO2 (0.745), K (3.03), PO4 (1.413)
01/24/2015 09:04 Cl (45.047)
01/25/2015 18:35 Cl (44.687)
08/06/2015 20:41 NH4 (0.793)
07/21/2018 21:43 K (3.35), PO4 (1.551)
08/16/2018 01:11 TDP (2.641), K (5.49)
08/17/2018 12:54 TDP (2.847), K (6.44)
08/18/2018 19:10 TDP (3.302), K (8.22)
12/09/2018 15:22 Cl (58.501)
12/16/2018 21:03 Cl (111.756)
06/13/2019 00:33 NH4 (0.831)
07/10/2021 13:03 TDN (2.315), TDP (0.979), NH4 (1.266), K (5.13), PO4 (2.671)

Because none of the potential reasons for the extreme values can be confirmed, these possible outliers have been retained in the data and it is at the discretion of the user to exclude them.

DOC data from samples collected during the June 11, 2012 to April 1, 2013 period have been removed as suspect because of concerns raised at the Coweeta Hydrologic Laboratory (their instrument may have been measuring Total Carbon instead of Dissolved Organic Carbon during this period).

Bacterial growth was noted in the sample vials from the July 23, 2022 13:22 collection bottle, and so all data from that bottle have been omitted.

A small number of negative values were recorded for certain analytes (TDP, Mg and NH4). Following the policy of the Coweeta Hydrologic Laboratory, these values have been replaced with "0.001"

Manta data missing for following periods:

All pH, conductivity and salinity data for 2008 were removed because of questions about instrument calibration during the period.

02/24/2012 (DO values removed; at or above 100%)
08/16/2013 (specific conductivity and salinity values removed as outliers)
03/04/2016 (suspect pH data removed)
10/28/2016 (only pH data available)

Manta data not available from November 2015 through early February 2016 because of problem with cable, and also not available from early March 2016 through early June 2016 because of sensor problems.

The Hanna multiprobe broke during early December 2018, and after the unit was replaced approximately bi-weekly measurements resumed in June 2020 and continued through December 2020, but they ceased during the SRS COVID lockdown in January 2021 and did not restart until October 2021. However, the new instrument broke in January 2022 and measurements have not yet resumed.


WATER TABLE

Data are complete except during the occasional battery failure or equipment malfunction.


WEATHER

Prior to 1996, the rain gauge at the Met25 weather station was usually read only after rain had fallen. However, if rain fell on a weekend, the rain gauge was not read until the next work week. Therefore, even though the plan was to collect daily total rainfall, the time interval was not always one day.

There are occasional gaps in the data (some lasting a few months to a year) since then resulting from equipment failures or personnel vacancies.

Suspiciously high, spiky air temperature data were observed between 1/15/2014 and 1/27/2014 and between 12/12/2014 and 12/19/2014 (slats missing from wooden enclosure). These data were omitted.

Because the manual rain gauge overflowed, data for massive rain event that occurred during the 10/2/2015 to 10/8/2015 period was extrapolated using the rainfall ratio (manual total/tipping bucket total) from 10/1/2015 to 10/2/2015.

Occasional spiky air temperature values (resulting from missing slats in the wooden enclosure) from 1/16/2015 through 12/7/2015, and all air temperature data starting 12/8/2015 through 3/3/2016 11:00, have also been omitted. Soil temperature data are missing between 3/2/2016 and 3/10/2016 because of the transition to the new wooden temperature sensor enclosure.
Lineage:
Methodology:
Methodology_Type: Field
Methodology_Description:
STREAMFLOW

In 1968 the Forest Service constructed a compound v-notch weir (metallic compound weir installed on top of a concrete wall) and associated blockhouse (to house monitoring instruments) at the Watershed 80 outlet on Yellowjacket Road. Stage data were recorded on tapes at 15-minute intervals by analog-to-digital water level recording (ADR) equipment.

In September 1995 the ADR equipment was replaced by a Teledyne-ISCO 3210 flowmeter. 15-minute stage data were downloaded directly to a computer in the field using Flowlink 3 software.

A Teledyne-ISCO 4210 flowmeter with an ultrasonic sensor was installed on 8/22/2000 (replacing the 3210 unit), but it was only programmed to record calculated flow rates (not stage) on a 10-minute interval. This programming was corrected in February 2003 so that the 4210 recorded 10-minute stage levels. The 10-minute stage data were downloaded directly to a computer in the field using Flowlink 4 software. The calibration of the ultrasonic sensor was checked regularly against the level of water above or below the v-notch in the weir. If the readings differed by 0.01 ft or more, the 4210 was recalibrated.

Between April 19-23, 2017 Robert Johnson Masonry removed the old bricks and rebuilt the brick structure on the south side of the weir wall and regrouted and sealed the angle iron running along the top of the weir wall.

Trainum Brothers Co. installed new platform and safety railing at site on 6/12/2017 to 6/13/2017.

After observing excessive drift, we replaced the ISCO 4210 flowmeter and ultrasonic sensor with another ISCO 4210 flowmeter and ultrasonic sensor on 1/29/2019.

The ISCO 4210 flowmeter and ultrasonic sensor were replaced by a Signature Flow Meter with a TIENet 310 ultrasonic sensor on 9/22/2021, and the recording interval was changed from 10 to 15 minutes.
Methodology:
Methodology_Type: Field
Methodology_Description:
WATER QUALITY

Approximately weekly water samples were collected upstream of the Watershed 80 weir between 11/4/1976 and 11/3/1982, and then again between 10/13/1989 and 12/29/1994. Stream temperature was measured at the time of sampling during the 1976-1982 period.

During the 1989-1994 period, weekly water samples were collected upstream of the Watershed 77 weir in clean plastic bottles and returned to the laboratory on ice. At the time of sample collection, stream pH was measured using a hand-held logger and probe.

Starting in 2003, during periods of active stream flow a Teledyne-ISCO 3210 or 4210 flow logger/ultrasonic sensor, calibrated to the level of water above or below the v-notch in the Watershed 80 weir, signaled a Teledyne ISCO 3700 automated sampler to take a 200-milliliter (ml) water sample after a known amount of water had passed over the weir (1240 cubic meters; amount based on the median volume of historic flow events). Such samples were collected using 3/8 inch vinyl suction tubing attached to the sampler and extending to the center of the stream, where the intake strainer was installed about 1 ft below the bottom of the v-notch in the weir. Samples were composited (4 samples per 1000 ml bottle), and approximately once a week filled bottles were removed from the autosampler and replaced with clean, acid-washed bottles. The sample bottles were taken to the laboratory in coolers and either filtered immediately (through 0.45 micron, 47 millimeter (mm) WCN type filters) or frozen until filtration could begin. Starting in December 2007 the bottles were no longer frozen but kept at 4°C and filtered as soon as possible.

Beginning in May 2006, the Manta multiprobe (linked to the Amphibian data logger) was taken to the Watershed 80 gauging station about once a week and used to measure pH, temperature, specific conductance, salinity and dissolved oxygen in the pool behind the weir plate (if enough water was present to submerge the probe). In 2009 the Manta measurement interval became approximately bi-weekly.

Manta measurements were discontinued from November 2015 through early February 2016 because of problems with the cable, and then again from early March 2016 through early June 2016 because of sensor problems.

Beginning on October 28, 2016 measurements of pH were performed in the field using an Oakton PC 300 Waterproof Hand-held pH/Conductivity/TDS/Temperature Meter.

In September 2017 we started using the Hanna HI98194 multiprobe for measurement of pH, temperature, specific conductance, salinity and dissolved oxygen.

The Hanna multiprobe broke during early December 2018, and after the unit was replaced approximately bi-weekly measurements resumed in June 2020 and continued through December 2020, but they ceased during the SRS COVID lockdown in January 2021 and did not restart until October 2021. However, the new instrument broke in January 2022 and measurements have not yet resumed.
Methodology:
Methodology_Type: Lab
Methodology_Description:
WATER QUALITY

During the 1976-1982 period stream temperature was measured at the time of sample collection, and water samples were analyzed for pH (using a glass electrode), specific conductance and bicarbonate (by acid titration to pH 4.5) within hours of collection. Samples were then preserved using phenol mercuric acetate (PMA) and frozen until shipment to the Forest Soils Laboratory at Duke University for further analysis (Richter 1980, Gilliam 1983).

Methods used for nutrient analysis of water samples at the Forest Soils Laboratory were the following:

Organic N: Kjeldahl digestion followed by dichloroisocyanurate colorimetry
NH4-N: Dichloroisocyanurate colorimetry
NO3-N: Azo dye colorimetry
SO4-S: Methylthymol blue colorimetry
Cl: Ferric thiocyanate colorimetry
PO4-P: Molybdenum blue colorimetry
Ca, Mg, K, and Na: Atomic absorption spectrophotometry

During the 1989-1994 period, samples were brought to the Charleston laboratory and refrigerated until processing could begin. The samples were filtered (details of filtration procedure are not known at this time) and then subjected to analysis according to standard protocols (Clesceri et al. 1989).

Most analyses (NO3/NO2-N, NH4-N, PO4-P, Cl, SO4, SiO3, TKN and TDN) were performed using the Technicon TRAACS-800 system. Cation analyses (K, Na, Ca, and Mg) were performed using a Perkin-Elmer Model 3100 Atomic Absorption Spectrometer.

Finally, HCO3 was measured by the titration method using an automatic titrimeter.

Laboratory methods from February 2004 to February 2007 were as described in SEF_Laboratory_Manual_01-09-14.pdf (included in the data publication download), a summary of sample collection, handling, transporting, processing, preservation and analysis protocols compiled by Ms Lara Matthews, Laboratory Manager at the Center for Forested Wetlands Research in October 2006.

Briefly, the laboratory protocols involved the following:

After filtration through 0.45 micron, 47 mm WCN type filters, each sample was aliquoted to three labelled 125 ml HDPE sample bottles and one labelled 40 ml amber VOA vial for preservation and subsequent analyses. 140 microliters of a concentrated acid were added to each of three aliquots: H2SO4 in the 125 ml bottle for NH4, NO3/NO2, total dissolved N and total dissolved P analyses; HNO3 in the 125 ml bottle for cation analyses; and H3PO4 in the 40 ml vial for DOC analysis. The remaining 125 ml bottle (for Cl analysis) received no preservative. All sample aliquots were refrigerated until analyses could be performed.

The analyses, instruments used and method detection limits (mdl) during this period were the following:

TDN: performed using QuikChem© Method 10-107-04-3, In-Line Digestion followed by FIA on a LachatQuickChem FIA+ Autoanalyzer; mdl = 0.5 mg/L before March 2004, 0.3 mg/L (March 2004 to July 2005), and 0.1 mg/L after July 2005;

TDP: performed using QuikChem© Method 10-115-01-3, FIA Colorimetry (In-Line Persulfate Digestion Method) on a LachatQuickChem FIA+ Autoanalyzer; mdl = 0.1 mg/L before July 2005 and 0.01 mg/L after July 2005;

NO3/NO2-N: performed using QuikChem© Method 10-107-04-1, Flow Injection Analysis (FIA) on a LachatQuickChem FIA+ Autoanalyzer; mdl = 0.2 mg/L before July 2005 and 0.02 mg/L after July 2005;

NH4-N: performed using QuikChem© Method 10-107-06-1, FIA Colorimetry on a LachatQuickChem FIA+ Autoanalyzer; mdl = 0.1 mg/L before July 2005 and 0.02 mg/L after July 2005;

Cl: performed using QuikChem® Method 10-117-07-1-C, FIA Colorimetry on a LachatQuickChem FIA+ Autoanalyzer; mdl = 0.1 mg/L;

Ca, K, Mg, Na, P: performed using a Jobin Yvon Ultima II Inductively Coupled Plasma Spectrometer; mdl = 0.05 mg/L; and

DOC: performed using a Tekmar Phoenix 8000 Total Organic Carbon Analyzer; mdl = 0.1 mg/L.


Starting in March 2007 instrumental methods were as described in "Procedures for Chemical Analysis" (wetlab-cookbook_revised-2017-08-08.pdf, included in data publication download), a laboratory manual compiled by Mr. James M. Deal and revised by Ms. Cindi Brown and others that summarizes protocols employed at the Coweeta Hydrologic Laboratory, 3160 Coweeta Lab Road, Otto NC 28763.

As mentioned in the section on field methodology, starting in December 2007 samples collected in the field were no longer frozen before processing but instead were refrigerated and filtered (using 0.45 micron, 47 mm WCN type filters) as soon as possible. The filtrate was aliquoted to two labeled plastic 50-ml tubes (one each for cation and anion analyses) and two labeled, combusted (4 hours at 500°C) glass 40-ml vials (for DOC analysis). Filtered samples in plastic vials were frozen and those in glass vials refrigerated prior to overnight shipment to the Coweeta Hydrologic Laboratory for analysis.

Starting in February 2009, the above filtrate was aliquoted to three labeled plastic 50-ml tubes and all were frozen prior to shipping to the Coweeta Hydrologic Laboratory.

In June 2016 a new processing method for DOC samples and blanks was adopted: beginning on 6/20/2016, sample tubes designated for DOC analysis were pre-rinsed in 10% HCL followed by a triple-rinse in DI water.

Samples collected on 10/3/2016, as well as frozen filtered samples collected and processed on or after 9/16/2016, were exposed to room temperature sometime after 10/5/2016 due to power outage resulting from Hurricane Matthew. These samples were moved to an outbuilding on 10/11/2016 to keep cool until 10/12/2016 13:30, after power had been restored.

Samples collected on 10/11/2016 were stored in an outbuilding to keep cool until 10/12/2016 13:30, after power had been restored.

Because of problems with the ultrapure water system, filters used to process samples collected on or after 12/19/2016 were pre-soaked in DI, not ultrapure, water prior to use.

The analyses, instruments used and average method detection limits (mdl) during the March 2007 through 2022 period were the following:

TDN: determined by luminescence using a Shimadzu DOC-VCPH TN analyzer until November 2016, and then by luminescence using a Shimadzu DOC-VCPH TNM-1 analyzer starting in November 2016; average mdl = 0.015 mg per L (range = 0.006-0.038 mg per L) through November 2016; average mdl = 0.014 mg per L for December 2016; and average mdl = 0.016 mg per L for 2017 through 2022 (range = 0.007-0.029 mg per L).

TDP: performed using persulfate in line UV digestion on a LachatQuickChem FIA+ Autoanalyzer until April 2011, when the Lachat results became unreliable, and then determined by optical emission using a Jobin Yvon Ultima II Inductively Coupled Plasma Spectrometer (first acidifying the sample with 0.3% HNO3) through November 2012, and by optical emission using a Thermo Fisher iCAP 6300 starting in December 2012; average mdl = 0.003 mg per L (range = 0.001-0.005 mg per L) through April 2011, average mdl = 0.024 mg per L for the remainder of 2011 through 2012 (range = 0.002-0.046 mg per L), average mdl = 0.005 mg per L from 2013 to August 2021 (range = 0.001-0.017 mg per L), and for the remainder of 2021 through 2022 the high qc mdl was 0.025 mg per L and the low qc mdl was 0.009 mg per L;

NO3/NO2-N: determined by Micro-membrane Suppressed Ion Chromatography, using an AS 18 column, on a Dionex Ion Chromatograph ICS2500 until June 2014, and then on a Thermo Scientific ICS 4000 capillary Ion Chromatograph starting in June 2014; average mdl = 0.002 mg per L (range = 0.0002-0.006 mg per L);

NH4-N: performed using the automated Phenate method on an Astoria 2 Autoanalyzer through November 2015, and using the automated Phenate method on a new Astoria 2 Autoanalyzer starting in November 2015; average mdl = 0.004 mg per L (range = 0.001-0.009 mg per L) through November 2015, average mdl = 0.001 mg per L from December 2015 through August 2021 (range = 0.001 to 0.002 mg per L), and for the remainder of 2021 to 2022 the high qc mdl was 0.003 mg per L and the low qc mdl was 0.001 mg per L;

Cl: determined by Micro-membrane Suppressed Ion Chromatography, using an AS 18 column, on a Dionex Ion Chromatograph ICS2500 until June 2014, and then on a Thermo Scientific ICS 4000 capillary Ion Chromatograph starting in June 2014; average mdl = 0.012 mg per L (range = 0.001-0.065 mg per L);

Ca: determined by optical emission using a Jobin Yvon Ultima II Inductively Coupled Plasma Spectrometer through November 2012, and by optical emission using a Thermo Fisher iCAP 6300 starting in December 2012; average mdl = 0.043 mg per L (range = 0.017-0.095 mg per L) through 2012, and average mdl = 0.019 mg per L from 2013 to August 2021 (range = 0.005-0.056 mg per L), and for the remainder of 2021 to 2022 the high qc mdl was 0.046 mg per L and the low qc mdl was 0.009 mg per L;

K: determined by optical emission using a Jobin Yvon Ultima II Inductively Coupled Plasma Spectrometer through November 2012, and by optical emission using a Thermo Fisher iCAP 6300 starting in December 2012; average mdl = 0.024 mg per L (range = 0.009-0.045 mg per L) through 2012, and average mdl = 0.007 mg per L from 2013 to August 2021 (range = 0.001-0.029 mg per L); for the remainder of 2021 to 2022 the high qc mdl was 0.046 mg per L and the low qc mdl was 0.011 mg per L;

Mg: determined by optical emission using a Jobin Yvon Ultima II Inductively Coupled Plasma Spectrometer through November 2012, and by optical emission using a Thermo Fisher iCAP 6300 starting in December 2012; average mdl = 0.018 mg per L (range = 0.003-0.053 mg per L) through 2012, and average mdl = 0.005 mg per L from 2013 to August 2021 (range = 0.001-0.008 mg per L); for the remainder of 2021 to 2022 the high qc mdl was 0.008 mg per L and the low qc mdl was 0.009 mg per L;

Na: determined by optical emission using a Jobin Yvon Ultima II Inductively Coupled Plasma Spectrometer through November 2012, and by optical emission using a Thermo Fisher iCAP 6300 starting in December 2012; average mdl = 0.028 mg per L (range = 0.005-0.106 mg per L) through 2012, and average mdl = 0.009 mg per L from 2013 to August 2021 (range = 0.001-0.026 mg per L); for the remainder of 2021 to 2022 the high qc mdl was 0.042 mg per L and the low qc mdl was 0.011 mg per L;

DOC: performed using the catalytically-aided platinum 680°C combustion technique for sample oxidation on a Shimadzu DOC-VCPH TN analyzer through October 2016, and by using the catalytically-aided platinum 680°C combustion technique for sample oxidation on a Shimadzu DOC-VCPH TNM-1 analyzer starting in November 2016; average mdl = 0.036 mg per L (range = 0.011-0.096 mg per L) through October 2016, and average mdl = 0.048 mg/L from November 2016 through 2022 (range = 0.030-0.073 mg per L);

Br: determined by Micro-membrane Suppressed Ion Chromatography, using an AS 18 column, on a Dionex Ion Chromatograph ICS2500 until June 2014, and then on a Thermo Scientific ICS 4000 capillary Ion Chromatograph starting in June 2014; average mdl = 0.003 mg per L (range = 0.001-0.008 mg per L);

SO4: determined by Micro-membrane Suppressed Ion Chromatography, using an AS 18 column, on a Dionex Ion Chromatograph ICS2500 until June 2014, and then on a Thermo Scientific ICS 4000 capillary Ion Chromatograph starting in June 2014; average mdl = 0.008 mg per L (range = 0.001-0.062 mg per L);

PO4: determined by Micro-membrane Suppressed Ion Chromatography, using an AS 18 column, on a Dionex Ion Chromatograph ICS2500 until June 2014, and then on a Thermo Scientific ICS 4000 capillary Ion Chromatograph starting in June 2014; average mdl = 0.006 mg per L (range = 0.002-0.023 mg per L); and

SiO2: determined by Ammonium Molybdate reaction and reduction with Ascorbic Acid, using an Astoria 2 Autoanalyzer; 2012 mdl = 0.002 mg per L.
Methodology_Citation:
Citation_Information:
Originator: Clesceri, L.S. (ed.)
Originator: Greenberg, A.E. (ed.)
Originator: Eaton, A.D. (ed.)
Publication_Date: 1989
Title:
Standard Methods for the Examination of Water and Wastewater
Edition: 17
Geospatial_Data_Presentation_Form: Document
Publication_Information:
Publication_Place: Washington, DC
Publisher: American Public Health Association
Methodology_Citation:
Citation_Information:
Originator: Gilliam, F.S.
Publication_Date: 1983
Title:
Effects of Fire on Components of Nutrient Dynamics in a Lower Coastal Plain Watershed Ecosystem
Geospatial_Data_Presentation_Form: document
Publication_Information:
Publication_Place: Durham, NC
Publisher: Department of Forestry and Environmental Studies, Duke University
Other_Citation_Details:
Ph.D. Dissertation
Methodology_Citation:
Citation_Information:
Originator: Richter, D.D., Jr.
Publication_Date: 1980
Title:
Prescribed Fire: Effects on Water Quality and Nutrient Cycling in Forested Watersheds of the Santee Experimental Forest in South Carolina
Geospatial_Data_Presentation_Form: document
Publication_Information:
Publication_Place: Durham, NC
Publisher: School of Forestry and Environmental Studies, Duke University
Other_Citation_Details:
Ph.D. Dissertation
Methodology_Citation:
Citation_Information:
Originator: Trettin, Carl C.
Originator: Amatya, Devendra M.
Originator: Glover, J.
Originator: Wenerick, W.
Publication_Date: 2021
Title:
Chapter 15. Ecoregion 8.5.3 Southern Coastal Plain: Santee Experimental Forest, South Carolina
Geospatial_Data_Presentation_Form: document
Other_Citation_Details:
pp 389-414
Larger_Work_Citation:
Citation_Information:
Originator: Ryan, Douglas F. (ed.)
Publication_Date: 2021
Title:
Biological responses to stream nutrients: A synthesis of science from experimental forests and ranges
Geospatial_Data_Presentation_Form: document
Series_Information:
Series_Name: General Technical Report
Issue_Identification: PNW-GTR-981
Publication_Information:
Publication_Place: Portland, OR
Publisher: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station
Other_Citation_Details:
522 p.
Online_Linkage: https://www.fs.usda.gov/research/treesearch/63549
Methodology_Citation:
Citation_Information:
Originator: Muwamba, Augustine
Originator: Amatya, Devendra M.
Originator: Trettin, Carl C.
Originator: Glover, James B.
Publication_Date: 2016
Title:
Comparing nutrients export from first, second, and third order watersheds at South Carolina Atlantic Coastal Plain
Geospatial_Data_Presentation_Form: conference proceedings
Other_Citation_Details:
pp 83-88
Online_Linkage: https://www.fs.usda.gov/research/treesearch/50887
Larger_Work_Citation:
Citation_Information:
Originator: Stringer, Christina E. (ed.)
Originator: Krauss, Ken W. (ed.)
Originator: Latimer, James S. (ed.)
Publication_Date: 2016
Title:
Headwaters to estuaries: advances in watershed science and management - Proceedings of the 5th Interagency Conference on Research in the Watersheds
Geospatial_Data_Presentation_Form: conference proceedings
Series_Information:
Series_Name: e-General Technical Report
Issue_Identification: SRS-GTR-211
Publication_Information:
Publication_Place: Asheville, NC
Publisher: U.S. Department of Agriculture, Forest Service, Southern Research Station
Other_Citation_Details:
302 p.
Online_Linkage: https://doi.org/10.2737/SRS-GTR-211
Methodology:
Methodology_Type: Field
Methodology_Description:
WATER TABLE

1992-1995:

These wells were constructed with 1.5 inch diameter PVC pipe and were installed to a depth of 8-10 feet (or more) below ground surface.

Wells were visited approximately every two weeks and the distance from the top of the well to the water surface was measured with a steel tape and pen flashlight.


2003-2019:

Two well transects were established in 2003 and made use of both existing manual wells and newly-installed wells. The downstream transect originally included wells w28021, w28023, w28024 and w28027 (installed in 1992), and four additional wells (Wells D, E, F and G) were later added to extend the spatial coverage of the transect (Wells D, E and F were installed in 2003, while Well G was installed in 2004).

Well A was added in 2003 to the headwater transect, which also included wells w28009, w28010, and w28011 (installed in 1992).

Well B was installed approximately 30 meters (m) west of the Met25 weather station, and Well C was installed near well w28031 on the southeast side of the watershed (Wells B and C were installed in 2003, while well w28031 was installed in 1992). Well w28030 was an existing well (installed in 1992) located adjacent to the Yellowjacket WL40 installation.

The new wells were installed using 3.8 centimeter (cm) diameter PVC pipe with a 1.8 m screen and following standard installation procedures. An auger was used to bore a hole approximately 7.6 cm in diameter, the screen and riser pipe were placed into the hole, and a gravel pack was added around the pipe along the screened section and up to about 15 cm below the ground surface. Bentonite clay was added to the top 15 cm of the bore hole as a seal to prevent percolation of surface water. Total well depths ranged from 2.1 to 2.5 m below ground surface.

The distance from the top of the well to the water surface was measured (in feet) with a Hydrolite. Starting in May 2009 this measurement was performed using a Solinst Mini 101 water level meter.

5/15/2004: Stopped monitoring Well 24

12/8/2006: Stopped monitoring Well E

6/11/2008: Stopped monitoring Well 21

1/16/2011: Stopped monitoring Well 23

6/8/2016: Stopped monitoring Wells 30 and 31

3/22/2019: End of study. Monitoring of wells was discontinued.


Well D

Well D was originally installed as a manual well on August 28, 2003 using 3.8 centimeter (cm) diameter PVC pipe with a 1.8 meter (m) screen and following standard installation procedures. An auger was used to bore a hole approximately 7.6 cm in diameter, the screen and riser pipe were placed into the hole, and a gravel pack was added around the pipe along the screened section and up to about 15 cm below the ground surface. Bentonite clay was added to the top 15 cm of the bore hole as a seal to prevent percolation of surface water. Total well depth was approximately 2.48 m below ground surface.

On October 20, 2003 a Global Water WL15 pressure transducer (datalogger and linked sensor) was installed in the well, and the datalogger was set to record water level every hour.

The most recently acquired data were downloaded to a laptop computer using Global Logger software. Water level readings were manually checked by using a Hydrolite device inside the well after removing the WL15 unit. Starting in May 2009 this measurement was performed using a Solinst Mini 101 water level meter.

The WL15 unit began experiencing problems early in 2008 and was removed from the well on 3/18/2008. A replacement WL16 pressure transducer was installed on 4/29/2008. After that point data were downloaded to a laptop computer in the field using Global Logger II software.

The WL16 unit began experiencing problems in June 2010 and was removed from the well on 7/2/2010. A replacement WL16 unit was installed on 7/7/2010.

A date/time stamp anomaly was noted 8/13/2013 9:13 EST (WL16 unit reading 7:53); the WL16 unit was removed on 8/19/2013 and a replacement unit installed on 8/20/2013.

4/6/2017: Recalibrated datalogger.

1/19/2018: Recalibrated datalogger.

5/3/2018: Recalibrated datalogger.

5/10/2018: Remeasured TOTAL length of sensor (to top of pipe, not notch) = 12.66 ft. Remeasured the length of pipe above ground (not to notch) = 5.26 ft. Recalibrated datalogger.

8/8/2018: Recalibrated datalogger.

7/9/2019: Could not connect to datalogger. Data lost from 6/11/2019 through 7/11/2019, when the datalogger was replaced.

7/11/2019: Datalogger replaced. Shortened stand pipe. New sensor length = 11.09 ft. New length of pipe above ground = 3.97 ft.

9/12/2019: Recalibrated datalogger.

7/26/2020 19:00: Upon QA, the data appeared erroneous through 7/27/2020 18:00 and was removed.

8/8/2021: Data download that occurred on 8/13/2021 revealed that datalogger stopped recording on 8/8/2021 for unknown reason. Battery voltage was 18+V.

8/13/2021: Reset datalogger to begin recording hourly at 13:00 EST.

9/24/2021: Datalogger seems to have failed and needs to be replaced.

9/28/2021: Datalogger replaced on 9/28/21. New sensor length = 11.33 ft. Well is DRY when WT < -224.3 cm.

4/28/2022: Downloaded logger and checked manual WT level.

6/7/2022: Downloaded logger and checked manual WT level.

7/12/2022: Downloaded logger and checked manual WT level.

8/15/2022: Downloaded logger and checked manual WT level.

9/22/2022: Downloaded logger and checked manual WT level; off by 0.15 ft, so recalibrated level and replaced batteries and desiccant pack.

10/25/2022: Downloaded logger and checked manual WT level; off by 0.22 ft, so recalibrated level.

12/5/2022: Downloaded logger (with difficulty connecting at first) and checked manual WT level.


Well H

On January 27, 2005 Well H was installed using a manufactured Blue Tip well point, extended to 3.05 meters (m) in length using 3.8 centimeter (cm) diameter PVC pipe and following standard installation procedures. An auger was used to bore a hole approximately 7.6 cm in diameter, the screen and riser pipe were placed into the hole, and a gravel pack was added around the pipe along the screened section and up to about 15 cm below the ground surface. Bentonite clay was added to the top 15 cm of the bore hole as a seal to prevent percolation of surface water. Total well depth was approximately 3.05 m below ground surface.

A Global Water WL15 pressure transducer (datalogger and linked sensor) was immediately installed in the well, and the datalogger was set to record water level every hour.

The most recently acquired data were downloaded to a laptop computer using Global Logger software. Water level readings were manually checked by using a Hydrolite device inside the well after removing the WL15 unit. Starting in May 2009 this measurement was performed using a Solinst Mini 101 water level meter.

2/22/2005: Communication failure as well as cable shortened to get sensor out of silt at bottom of well.

3/7/2005: Well purged.

3/10/2005: Well purged.

5/4/2005: Sensor cable re-wrapped and re-measured.
The WL15 unit failed on 8/23/06 and was replaced by a WL16 pressure transducer on 10/31/2006. After that point data were downloaded to a laptop computer in the field using Global Logger II software.

8/23/2006: The WL15 unit failed.

10/31/2006: Replaced with a WS16 datalogger.

Excessive drift observed in WL16 readings from early 2009 through July 2014 (but not in 2012); all data during this period was corrected using equations derived by regressing biweekly internal manual measurements of water level against the WL16 readings.
For the below periods the following regression equations were employed:

2/19/2009 3:00 to 12/31/2009 23:00
Manual = 1.024*WL16 - 0.278 R2 = 0.99
Range of differences = 1.0 to 11.5 cm n = 25

1/1/2010 0:00 to 12/31/2010 23:00
Manual = 1.020*WL16 - 0.273 R2 = 0.99
Range of differences = 1.7 to 14.5 cm n = 25

1/1/2011 0:00 to 12/31/2011 23:00 '
Manual = 0.978*WL16 + 0.074 R2 = 0.99
Range of differences = 2.9 to 14.2 cm n = 18

1/1/2013 0:00 to 11/26/2013 18:00
Manual = 1.048*WL16 - 0.524 R2 = 0.99
Range of differences = 6.0 to 18.2 cm n = 17

11/26/2013 19:00 to 7/10/2014 9:00
Manual = 0.925*WL16 + 0.463 R2 = 0.99
Range of differences = 1.9 to 31.6 cm n = 14

3/24/2016: Alarm 2 somehow activated on 3/24/16, and all data between midnight and 4/13/16 was thereby lost.

4/6/2017: Recalibrated datalogger.

12/28/2017: Batteries died. Lost data through 1/17/18.

1/17/2018: Replaced batteries.

1/19/2018: Recalibrated datalogger.

5/2/2018: Recalibrated datalogger.

5/10/2018: Remeasured length of sensor = 13.35 ft. Remeasured the length of pipe above ground = 3.87 ft. Recalibrated datalogger.

6/18/2018: Recalibrated datalogger.

7/10/2018: Recalibrated datalogger.

8/8/2018: Recalibrated datalogger.

9/5/2018: Recalibrated datalogger.

11/20/2018: Recalibrated datalogger.

3/22/2019: Recalibrated datalogger.

9/12/2019: Recalibrated datalogger.

10/1/2019: Recalibrated datalogger.

12/10/2019: Recalibrated datalogger.

1/7/2020: Recalibrated datalogger.

5/18/2020: Recalibrated datalogger.

7/14/2020: Recalibrated datalogger.

9/24/2021: Datalogger showed an error upon connection: "Could not initialize flash memory." Data lost since last download on 8/13/2021. Datalogger was reset.

12/13/2021: Noticed dirt dauber nest over the vent tube opening. Cleaned off vent tube opening. Recalibrated to the factory settings, since there was only 0.89 ft of water above the sensor.

12/15/2021: Recalibrated datalogger.

3/7/2022: Recalibrated datalogger.

4/28/2022: Downloaded logger and checked manual WT level.

6/7/2022: Downloaded logger and checked manual WT level; replaced batteries.

7/12/2022: Downloaded logger and checked manual WT level, then recalibrated sensor.

8/15/2022: Downloaded logger and checked manual WT level, then recalibrated sensor (huge difference between sensor reading and manual measurement, 0.7 ft).

8/17/2022: Downloaded logger and checked manual WT level, then replaced WL16 with backup unit while Global Water conducts evaluation and repair.

9/22/2022: Downloaded logger and checked manual WT level.

10/25/2022: Downloaded logger and checked manual WT level.

11/21/2022: Downloaded logger and checked manual WT level, then installed and checked repaired WL16.

12/5/2022: Downloaded logger and checked manual WT level.
Methodology:
Methodology_Type: Field
Methodology_Description:
WEATHER

From 1966 to 1984 and from 1990 to 1996 rainfall data were collected sporadically (usually just after a recent rainfall event, and not on weekends or holidays) using manual rain gauges. A Belfort Universal Recording Rain Gauge that recorded rainfall on strip charts was also used from 8/25/1993 to 2/8/1996.

Starting in February 1996 both hourly air temperature and rainfall were recorded electronically by sensors linked to an Omnidata 800 datalogger and downloaded via data storage packs.

At the same time that filled data storage packs were collected (and replaced by new, empty packs), the manual rain gauge water level was recorded using a dipstick and then dumped. Max/min and current ambient temperature were also recorded (at 1.42 m and 1.57 m, respectively, inside a ventilated wooden enclosure).


Hourly Met Data:

Starting in September 2001 both instantaneous hourly air and soil temperature and rainfall were recorded electronically by sensors linked to Onset Hobo dataloggers and downloaded directly to a laptop computer in the field.

The Onset Hobo H08-002-02 Temperature/External Channel data logger equipped with a 0.10 m (4-inch) wire air temperature sensor and linked to a TMC6-HD soil temperature sensor was used to monitor instantaneous hourly air and soil temperatures from 9/13/2001 to 7/29/2009. Data were downloaded to a laptop computer using BoxCar Pro software. This data logger was replaced by an Onset Hobo U12 4-Channel External data logger linked to a TMC1-HD air temperature sensor and a TMC6-HD soil temperature sensor on 7/29/2009. Data were downloaded to a laptop computer using Hoboware software.

Rainfall was recorded by an Onset RG2M tipping bucket rain gauge (with its opening 0.85 m above the ground) linked to an Onset Hobo H7 Event Data Logger.

The manual rain gauge water level was recorded using a dipstick and then dumped. Max/min and current ambient air temperature were also recorded (at 1.42 m and 1.57 m heights, respectively, inside a ventilated wooden enclosure).

The RG2M tipping bucket gauge was replaced by a Sierra-Misco Model 2501 unit on 1/10/2014.

The RG2M tipping bucket gauge (with Hobo UA-003-64 Pendant data logger) was reinstalled on 5/2/2014.

The U12 4-Channel data logger and associated air and soil temperature sensors were damaged during a weed-whacking accident on 7/28/2014 around 14:00. The defective units were replaced by a new data logger and sensors (same models) on 8/13/2014.

The aging wooden temperature sensor enclosure was replaced on 3/3/2016.

The TMC1-HD air temperature sensor was replaced on 6/21/2016.

The TMC1-HD air temperature sensor was replaced on 5/2/2018.

The manual rain gauge stand was replaced on 9/27/2018.

The RG2M tipping bucket gauge was removed for reed switch replacement and then reinstalled in a new location inside the fenced enclosure on 10/4/2018.


Tower Data:

Starting in 2010, averages for a suite of climatic variables were recorded electronically on a 15-minute interval (30 second scan interval) by sensors located above the forest canopy about 90 ft above the ground surface and linked to a Campbell Scientific CR1000 datalogger at the foot of the tower. Data were downloaded directly to a laptop computer using PC400 software.

Sensors installed with the CR1000 datalogger included: HMP45C temperature and relative humidity probe (26.0 m height from ground); Met One 34B windset (26.4 m height from ground); LI-COR LI200X pyranometer (26.3 m height from ground); LI-COR LI190SB quantum sensor (26.3 m height from ground); NR-LITE net radiometer (26.27 m height from ground); and a Campbell Scientific 107-L soil temperature sensor (0.10 m below ground surface).

The LICOR LI200X pyranometer was replaced by an Apogee SP-110 pyranometer on 10/22/2014.

Replaced NP-12 battery on 4/20/2016 and on 11/8/2016.

The HMP45C temperature and relative humidity sensor was replaced by a Rotronic HC2S3 sensor on 4/21/17 because of apparent problems with the relative humidity readings.

Replaced NP-12 battery on 11/2/2017.

The Rotronic HC2S3 temperature and relative humidity sensor and shield were replaced by an HMP155A sensor and 14-plate shield on 7/31/2019.

Replaced NP-12 battery and reformatted CFM100 module on 9/12/2019.

Replaced NP-12 battery and reformatted CFM100 module on 8/26/2020.

The CR1000 data logger unexpectedly stopped recording data at 9/8/2020 18:00 for an unknown reason; logging was restarted on 9/21/2020 but the battery voltage continued to be erratic.

A new operating system (CR1000_OS_32.05) was installed in the CR1000 data logger on 9/23/2020.

The NR-LITE net radiometer was replaced with a new NR-LITE2 net radiometer on 11/5/2020.

Installed refurbished 34B windset and new connect cable, as well as new SP-110 pyranometer with quick connect feature, on 8/26/2021; also removed old SP-110, HMP155A and LI-190 (latter two sensors to be sent to CS for calibration).

Reinstalled the recalibrated HMP155A and LI-190 sensors on 9/28/2021.

Soil temperature data lost after 2/8/2022 0:00 because of cable cut/break.

WS80 Tower decommissioned on 4/12/2022; all sensors and datalogger box removed to lab (eddy covariance system to be installed during the week of April 25).
Process_Step:
Process_Description:
STREAMFLOW

Prior to September 1995, the ADR tape data were read (picked by hand or translated to ASCII code using a photoelectric reader at the Coweeta Hydrologic Laboratory) and 15-minute stage values were converted to the corresponding flow values using stage-discharge relationships for the compound weir. Daily mean flow rates were generated by averaging the 15-minute flow rates.

In September 1995 the ADR equipment was replaced by a Teledyne-ISCO 3210 flowmeter. 15-minute stage data were downloaded directly to a computer in the field using Flowlink 3 software. SAS software and the stage-discharge relationship were used to generate 15-minute and daily mean flow rates from the recorded stage data.

Starting in 2003, downloaded stage data were post-processed (removing spurious data, such as download artifacts) and prepared for runs with SAS software embedded with a lookup table of stage-discharge relationship for the compound weir to generate corresponding 10-minute flow rates.

Daily total flow was calculated by using a Fortran program and verified in Microsoft Excel spreadsheets by averaging flow rates over the individual recording intervals, multiplying the average rate by the appropriate time factor for the interval and then summing interval flows for each day. Values in liters were then converted to cubic meters.

Extreme rainfall event October 3-4, 2015 (and also large amounts of rain in the days before and after) led to record flow levels on the Santee Experimental Forest watersheds. The ultrasonic sensor was briefly submerged during this event, but data from a backup GL500 logger and pressure transducer were available to help predict the missing stage values. Data from 10/1/2015 0:00 through 10/3/2015 21:00 and then 10/5/2015 1:00 through 10/9/15 21:00 were used to generate the following regression equation for October 3-4:

ISCO 4210 = GL500*1.00 - 1.29 (R2 = 0.99)

Stage values around the peak of the highest flows exceeded the maximum range of the stage-discharge relationship in the lookup table for the WS80 weir (0 to 2.81 feet above the v-notch), and thus flow values for this period are not available.


Hurricane Matthew October 7-8, 2016 caused very high flow levels on the Santee Experimental Forest. The ultrasonic sensor was briefly submerged during this event, but data from a backup GL500 logger and pressure transducer were available to help predict the missing stage values. Data from 10/7/16 2:10 to 10/8/16 1:50 were used to generate the following regression equation for use in estimating stage values during the rising limb of the event:

ISCO 4210 = GL500*0.98 - 1.23 (R2 = 0.99)

Data from 10/8/16 11:50 to 10/11/16 10:00 were used to generate the following regression equation for use in estimating stage values during the falling limb:

ISCO 4210 = GL500*1.01 - 1.29 (R2 = 0.99)

Stage values around the peak of the highest flows again exceeded the maximum range of the stage-discharge relationship in the lookup table for the WS80 weir, and thus flow values for this period are not available.


A debris dam was removed from the weir on 5/21/2018, and we used linear interpolation to correct the data between 5/20/2018 13:30 to 5/21/2018 23:50.

A debris dam was removed from the weir on 10/12/2018, and we used linear interpolation to correct the data between 4:00 and 20:00.

A debris dam was removed from the weir on 1/14/2019, and we regressed WS80 ISCO 4210 on WS77 ISCO 4210 stage data in order to create the following regression equation that was used in conjunction with some curve smoothing to correct the data between 1/11/2019 22:40 to 1/15/2019 15:50:

WS80 = WS77*0.33 - 1.18 (R2 = 0.99)

Excessive drift was observed starting on 1/22/2019, and we used linear interpolation to correct the data between 1/22/2019 13:50 to 1/23/2019 5:00.

Stage errors were again observed starting on 1/28/2019, and we used linear interpolation to correct the data between 1/28/2019 13:30 to 1/29/2019 15:00.

Another debris dam was removed from the weir on 1/21/2020, and we regressed WS80 ISCO 4210 on WS77 ISCO 4210 stage data in order to create the following regression equation that was used in conjunction with some curve smoothing to correct the data between 1/15/2020 18:00 to 1/22/2020 18:30:

WS80 = WS77*0.75 + 0.08 (R2 = 0.99)

Linear interpolation was used to correct stage data after small debris dams were removed on 12/7/2020 and 12/14/2020.

4210 datalogger and ultrasonic sensor replaced by a Signature Flow Meter system on 9/22/2021 11:00, and recording interval changed to 15 minutes at that time.

Slight leak detected on south side of weir plate on 8/30/2021.

Weir plate leak repaired on 10/19/2021 (required pumping pool to low level).

Because of a debris dam, stage was corrected from 1/18/2022 8:15 to 1/19/2022 10:30 (falling limb) by regressing SigFM on GL500 stage data from 1/17/2022 12:00 to 1/18/2022 6:00.

Regression equation: SigFM = 1.023*GL500 - 1.307 R2 = 0.91

Another debris dam was removed on 3/21/2022 (two pieces of bark retarding flow) and required stage correction from 3/17/2022 20:00 to 3/22/2022 4:30 by regressing WS80 on WS77 stage data from 3/26/2022 13:00 to 3/29/2022 23:00 to generate the following:

Regression equation: WS80 = 0.176*WS77 + 0.123 R2 = 0.81

Data logger "froze" on 4/1/2022 0:45, and no data was recorded again until power was cycled on 4/4/2022.

Regression of SigFM on GL500 stage from 3/30/2022 to 3/31/2022 12:00 was used to generate the below equations and predict the missing values (with some very minor smoothing at the end of the falling limb):

Regression equation: SigFM = 0.867*GL500 - 1.097 R2 = 0.77

A large log became trapped in the weir between 4/10/2022 and 4/11/2022, and linear interpolation was used to correct the data between 4/10/2022 6:15 and 4/11/2022 23:45.
Process_Date: Unknown
Process_Step:
Process_Description:
WATER QUALITY

Data collected in the field or during laboratory analyses were recorded into electronic spreadsheets and checked for missing values and/or outliers.

For the sake of consistency, data reported for SO4 during the 1989-1994 period have been adjusted to reflect the concentration of SO4-S.

Data (in the form of concentrations obtained from the laboratory) were entered into Microsoft Excel spreadsheets and checked for missing values and/or outliers.

For the purposes of this data, analyte concentrations registering below the method detection limit (mdl) prior to March 2007 were assigned the value of the respective mdl.

Starting in March 2007, analyte concentrations were posted as received from the Coweeta Hydrologic Laboratory except in the case of obvious contamination or negative values. Occasional negative values (sometimes observed for analytes such as Total Phosphorus or Mg) were assigned the value "0.001" according to the established practice at the Coweeta Hydrologic Laboratory.
Process_Date: Unknown
Process_Step:
Process_Description:
WATER TABLE

Water level information was retrieved from field notebooks and recorded in databases (written and electronic) at the office. Using information about the height of individual wells above ground surface and their elevation relative to mean sea level allowed for calculation and plotting of water table level below ground surface (in centimeters) and relative to mean sea level (in meters).

Ground surface elevations for each well in the WS80 transects are listed below (based on elevation surveys conducted in 2004):

Well_ID_Number - Elevation (meters above sea level)
w28009 - 7.9757
w28010 - 7.9431
w28011 - 8.2287
w28021 - 5.1459
w28023 - 5.3270
w28024 - 6.8955
w28027 - 8.3564
w28030 - 9.0858
w28031 - 8.9124
Well A - 8.7505
Well B - 8.4713
Well C - 8.9267
Well D - 7.5084
Well E - 4.3157
Well F - 8.4024
Well G - 6.8955
Well H - 9.0858
Process_Date: Unknown
Process_Step:
Process_Description:
WEATHER

For the non-recording gauges, rainfall amounts were recorded for each gauge in the network, and if fairly similar they were averaged to obtain an overall average aerial estimate of rainfall in Watershed 80. However, if unequal distribution of rainfall was observed, the Thiessen or isohyetal method was employed to obtain a realistic average value.

Prior to the introduction of electronic measurements, rainfall data recorded in the field were plotted and visually compared with data from other stations.

Back at the office the hourly electronic data were retrieved from the data storage pack and plotted to check for outliers. Daily maximum and minimum air temperatures were then obtained from the hourly data and used to calculate the daily average air temperature (using SAS software).

Hourly Met Data:

Back at the office the electronic data were retrieved from the laptop computer and plotted to check for outliers or anomalies. The tipping bucket gauge totals were calibrated against the amount of rainfall that had been collected in the manual gauge (the expected amount of rainfall recorded by each "tip" was adjusted by a factor corresponding to the total amount of rain collected in the manual gauge divided by the total recorded by the tipping bucket gauge for each download interval).

Pivot tables on Microsoft Excel spreadsheets were used to convert the adjusted event-based rainfall data into hourly totals.

The times for instantaneous temperature data were not always recorded "on the hour," so these were adjusted to synchronize with the closest hourly rainfall data. The difference was usually no more than 15 minutes.

Tipping bucket event times from the Lotti Road weather station were used to estimate event timing during early April 2014 when the Met25 rain gauge funnel was clogged.

On 1/3/2018 there was freezing rain and snowfall, and after that time snow froze and thawed slowly over several days. No accurate event data were recorded during or immediately after this freezing rain and snow event, so we used Pluvio weighing bucket percentages and post-event Met25 meltwater total to estimate hourly precipitation.


Tower Data:

Electronic data were downloaded from the CR1000 datalogger and plotted to check for outliers.
Process_Date: Unknown
Process_Step:
Process_Description:
DATA UPDATES

Missing data were originally assigned "NULL" values, but all of these have been converted to blank values.

Data for 2021 and 2022 have been added to this data publication.
Process_Date: 2024
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Below you will find a list and description of all files included in this data publication.

NOTE: Data are available as comma-separated values (CSV) files in the full data publication download but are provided as CSV or tab-delimited files through the online query tool. The query tool provides the ability to calculate summary statistics, but be aware that those calculations are based on user selections and should be carefully interpreted. All missing data are indicated by blank cells.


VARIABLE DESCRIPTION FILE (1)

1. _variable_descriptions.csv: Comma-separated values (CSV) file containing a list and description of variables found in all data files and applicable supplemental files. (A description of these variables is also provided in the metadata below.)

Columns include:

Filename = name of data file
Variable = name of variable
Units = units (if applicable)
Precision = precision (if applicable)
Description = description of variable


DATA FILES (12)

\DATA\FLOW\

1. WS80_10min_flow_2003-2022.csv: Watershed 80 (WS80) 10 or 15-minute instantaneous flow rate data starting in 2003.

Variables include:

Location = watershed (WS80 = Watershed 80)
Instr_ID = gauging station name (Weir80 = water level recorder used in conjunction with WS80 weir)
Date_time = instantaneous date and time stage data recorded (format = mm/dd/yyyy hh/mm)
Date_ = date associated with stage data (date format = mm/dd/yyyy)
Time24_Flo = nearest minute associated with stage data (0 to 1430)
Flow_liter = flow rate (calculated from stage data), in liters per second (L/sec)


2. WS80_dailyflow_2003-2022.csv: Watershed 80 daily mean flow rate and total daily flow data starting in 2003.

Variables include:

Location = watershed (WS80 = Watershed 80)
Instr_ID = gauging station name (Weir80 = water level recorder used in conjunction with WS80 weir)
Date_ = date associated with stage data (date format = mm/dd/yyyy)
Avg_FlowRa = daily mean flow rate in L/sec
DailyFlow_ = total daily flow in cubic meters (m³)


3. WS80_historical_data.csv: Watershed 80 daily mean flow rate data from 11/1/1968 to 6/27/1999.

Variables include:

Location = watershed name (WS80 = Watershed 80)
Instr_ID = gauging station name (Weir80 = water level recorder used in conjunction with WS80 weir)
Date_ = date associated with stage data (date format mm/dd/yyyy)
Dailyflow_ = daily mean flow rate, in L/sec


\DATA\WATER_QUALITY\

4. WS80_historical_chemistry.csv: Historic Watershed 80 water quality data 1976 to 1994.

Variables include:

Location = watershed (WS80 = Watershed 80)
Instr_ID = gauging station (Weir80 = WS80 weir)
Date_ = date associated with data (date format = mm/dd/yyyy)
pH = stream pH
NO3_NO2_N_mgL = nitrogen concentration in the form of nitrate/nitrite in milligrams/liter (mg/L)
NH4_N_mgL = nitrogen concentration in the form of ammonium (mg/L)
PO4_P_mgL = phosphorus concentration in the form of inorganic phosphate (mg/L)
Cl_mgL = chloride concentration (mg/L)
K_mgL = potassium concentration (mg/L)
Na_mgL = sodium concentration (mg/L)
Ca_mgL = calcium concentration (mg/L)
Mg_mgL = magnesium concentration (mg/L)
SO4_S_mgL = sulfur concentration in the form of sulfate (mg/L)
TKN_mgL = total Kjehldal nitrogen concentration (mg/L)
SiO3_mgL = silicate concentration (mg/L)
HCO3_mgL = bicarbonate concentration (mg/L)
TN_mgL = total nitrogen concentration (mg/L)
Conductivi = stream conductivity in microSiemens per centimeter (microS/cm)
Temp_C = stream temperature in degrees Celsius (°C)


5. WS80_water_chemistry_2004-2022.csv: Water quality and stream water property data recorded from WS80 gauging station starting in 2004.

Variables include:

Location = watershed (WS80 = Watershed 80)
Instr_ID = gauging station (Weir80 = WS80 weir)
Date_time = instantaneous date and time sample collected (format = mm/dd/yyyy hh/mm)
Date_ = date associated with data (date format = mm/dd/yyyy)
Sample_typ = sample type (grab, automated or Manta/Hanna multiprobe measurement)
TDN_mgL = total dissolved nitrogen concentration in milligrams/liter (mg/L)
TDP_mgL = total dissolved phosphorus concentration in (mg/L)
NH4_N_mgL = nitrogen concentration in the form of ammonium (mg/L)
NO3_NO2_N_mgL = nitrogen concentration in the form of nitrate/nitrite (mg/L)
Cl_mgL = chloride concentration (mg/L)
Ca_mgL = calcium concentration (mg/L)
K_mgL = potassium concentration (mg/L)
Mg_mgL = magnesium concentration (mg/L)
Na_mgL = sodium concentration (mg/L)
P_mgL = phosphorus concentration (mg/L)
DOC_mgL = dissolved organic carbon concentration (mg/L)
Br_mgL = bromide concentration (mg/L)
SO4_mgL = sulfate concentration (mg/L)
PO4_mgL = phosphate concentration (mg/L)
SiO2_mgL = silicate concentration (mg/L)
Temp_C = stream temperature in °C
pH = stream pH
Conductivi = stream conductivity in milliSiemens per centimeter (mS/cm)
Salinity_P = stream salinity (Practical Salinity Scale)
DO_mgL = dissolved oxygen in stream (mg/L)
DO_per_sat = percent saturation dissolved oxygen in stream


\DATA\WATER_TABLE\

6. WS80_historic_well_levels.csv: Water table data for manual well network in WS80 (post-Hurricane Hugo) from 1992 to 1995.

Variables include:

Location = watershed (WS80 = Watershed 80)
Instr_ID = well name (w28001 = post-Hugo well number 1)
Date_ = date associated with data (date format = mm/dd/yyyy)
Depth_cm_b = depth, in centimeters (cm) below ground surface (positive values represent levels above ground surface and negative values represent levels below ground surface)
elev_m_asl = elevation, in meters (m) above sea level

*The form of the well ID numbers is whwwnn, where h is an indicator of pre-Hurricane Hugo versus post-Hurricane Hugo, ww is the watershed number, and nn is the well number. The values of h are 1 for pre-Hugo, and 2 for post-Hugo. The well numbers, nn, are in two digit format, e.g. well numbers less than 10 are represented as 0n, as opposed to just n.


7. WS80_manual_well_transect_data_2003-2019.csv: Bi-weekly well level data for manual well networks in WS80 from 2003 to 2019.

Variables include:

Well_ID = well name
Date_ = date associated with water table data (date format = mm/dd/yyyy)
Water Table Depth BGS (cm) = depth, cm below ground surface, in cm (positive values represent levels above ground surface and negative values represent levels below ground surface)
Elevation of water table ASL (m) = elevation, m above sea level, in m
Dry = when depths below ground surface and elevations above mean sea level for periods where the water table was below the detection limit of the sensor, this column contains "DRY" and both Water Table Depth BGS (cm) and Elevation of water table ASL (m) are blank.


8. WS80_well_levels_2003-2022.csv: Hourly well level data recorded from WS80 well D starting in 2003 and well H starting in 2005.

Variables include:

Instr_ID = instrument name
Date_Time = instantaneous date and time associated with water table data (format = mm/dd/yyyy hh/mm)
Water Table Depth BGS (cm) = depth, cm below ground surface, in cm (positive values represent levels above ground surface and negative values represent levels below ground surface)
Elevation of water table ASL (m) = elevation, m above sea level, in m
Sample_Int (hr) = sample interval, in hours
Dry = when depths below ground surface and elevations above mean sea level for periods where the water table was below the detection limit of the sensor, this column contains "DRY" and both Water Table Depth BGS (cm) and Elevation of water table ASL (m) are blank.


\DATA\WEATHER\

9. Met_25_historic_data.csv: Daily rain and air temperature data recorded at Met25 weather station from 1990 to 2001.

Variables include:

Location = watershed name (WS80 = Watershed 80)
Instr_ID = weather station name (Met25 = meteorologic station 25)
Date_ = date associated with rainfall and air temperature data (date format = mm/dd/yyyy)
Rainfall_m = daily total rainfall, in millimeters (mm)
Air_Temp_C = daily average temperature, in °C


10. Met_25_hourly_data_2001-2022.csv: Hourly air and soil temperature and rainfall data recorded at Met25 weather station, starting in 2001.

Variables include:

Location = watershed (WS80 = Watershed 80)
Instr_ID = instrument name (Met25 = meteorologic station 25)
Date_time_temp = instantaneous date and time temperature data recorded (format = mm/dd/yyyy hh:mm)
Date_temp = date associated with temperature data (date format = mm/dd/yyyy)
Time24_temp = nearest hour associated with temperature data (0 to 23)
Air_Temp_C = instantaneous air temperature, in °C
Soil_Temp_ = instantaneous soil temperature, in °C
Date_time_rain = ending date and time for calculation of hourly rainfall (format = mm/dd/yyyy hh:mm)
Date_rain = date associated with rainfall data (date format = mm/dd/yyyy)
Time24_rain = nearest hour associated with rainfall data (1 to 24)
Rainfall_m = rainfall total for preceding hour, in mm
Sample_Int = sample interval (hours)


11. WS80_nonrecording_gauges_1966-1984.csv: WS80 Non-recording gauge rainfall data, 1966 to 1984.

Variables include:

Location = watershed (WS80 = Watershed 80)
Instr_ID = instrument name (e.g., Gauge20 = Rain gauge number 20)
Date_ = date associated with rainfall data (date format = mm/dd/yyyy)
Rainfall_m = daily total rainfall, in mm
Remarks = comments recorded in field data


12. WS80_Tower_2010-2022.csv: 15-minute values for a suite of climate variables recorded by sensors located in 90 feet above the forest canopy in WS80, starting in 2010.

Variables include:

Location = watershed (WS80 = Watershed 80)
Instr_ID = instrument name
Date_time = instantaneous date and time data recorded (format = mm/dd/yyyy hh:mm)
Date_instant = date associated with instantaneous data (date format = mm/dd/yyyy)
Time24_instant = nearest quarter hour associated with instantaneous data (0 to 23.75)
Date_ave = date associated with averaged/totaled data (date format = mm/dd/yyyy)
Time24_ave = nearest quarter hour associated with averaged/totalled data (0.25 to 24)
Ave_air_T = 15 minute average air temperature in °C
Max_air_T = 15 minute maximum air temperature in °C
Min_air_T = 15 minute minimum air temperature in °C
RH = 15 minute relative humidity (fraction)
Max_RH = 15 minute maximum relative humidity (fraction)
Min_RH = 15 minute minimum relative humidity (fraction)
Ave_vapor_ = 15 minute calculated average vapor pressure in Kilopascals (kPa)
Ave_soil_T = 15 minute average soil temperature in °C
Ave_PAR = 15 minute average photosynthetically active radiation (PAR) in micromoles/meter squared per second (umol/m²/sec)
Ave_solar = 15 minute average solar radiation in watts per square meter (W/m²)
Windspeed_ = 15 minute average windspeed in meters per second
Wind_direc = 15 minute wind direction vector in degrees
Cor_Netrad = 15 minute average net radiation (windspeed corrected) in W/m²)
Sample_Int = sample interval (hours)


SUPPLEMENTAL FILES (6)

\SUPPLEMENTS\

1. SEF_Laboratory_Manual_01-09-14: Portable Document Format file containing "Santee Experimental Forest: Laboratory Methods" edited by Julie Arnold on 01/09/2014.

2. wetlab-cookbook_revised-2017-08-08.pdf: Portable Document Format file containing "Procedures for Chemical Analysis" by Coweeta Hydrologic Laboratory (obtained on 11/01/2019 from https://www.srs.fs.usda.gov/coweeta/tools-and-data/wetlab-cookbook_revised-2017-08-08.pdf).

3. WS80_current_hydrology_instrumentation.png: Portable Network Graphics file containing a map showing the locations of the WS80 auto-recording wells, weather stations, and stream gauging station.

4. WS80_historic_manual_wells.png: Portable Network Graphics file containing a map showing the locations of the historic WS80 manual wells.

5. WS80_related_publications.pdf: Portable Document Format file containing a list of publications that reference the data included in this package: WS80 streamflow, water chemistry, water table, or weather data.

6. WS80_well_map.png: Portable Network Graphics file containing a map showing the names and locations of the WS80 auto-recording wells (D and H) as well as manual wells (9, 10, 11, 27, A, B, C, F, and G).
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Contact_Organization: USDA Forest Service, Research and Development
Contact_Position: Research Data Archivist
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Address: 240 West Prospect Road
City: Fort Collins
State_or_Province: CO
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Contact Instructions: This contact information was current as of April 2024. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
Resource_Description: RDS-2021-0043
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Metadata documents have been reviewed for accuracy and completeness. Unless otherwise stated, all data and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. However, neither the author, the Archive, nor any part of the federal government can assure the reliability or suitability of these data for a particular purpose. The act of distribution shall not constitute any such warranty, and no responsibility is assumed for a user's application of these data or related materials.

The metadata, data, or related materials may be updated without notification. If a user believes errors are present in the metadata, data or related materials, please use the information in (1) Identification Information: Point of Contact, (2) Metadata Reference: Metadata Contact, or (3) Distribution Information: Distributor to notify the author or the Archive of the issues.
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Metadata_Date: 20240408
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Contact_Organization_Primary:
Contact_Organization: USDA Forest Service, Southern Research Station, Center for Forested Wetlands Research
Contact_Person: Andy Harrison
Contact_Position: Hydrology Technician
Contact_Address:
Address_Type: mailing and physical
Address: 3734 Hwy 402
City: Cordesville
State_or_Province: SC
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Contact_Voice_Telephone: 843-336-5603
Contact_Electronic_Mail_Address: charles.a.harrison@usda.gov
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