Processed data and code used to characterize rain storm intensity, duration, and size across an elevation gradient for assessment of post-fire hazards

Metadata:

Entity_and_Attribute_Information:

Overview_Description:

Entity_and_Attribute_Overview:

Below you will find a list and description of the files included in this data publication.


VARIABLE DESCRIPTION FILE (1)

1. \Data\_variable_descriptions.csv: Comma-separated values (CSV) file containing a list and description of variables found in all data files as well the variables used in each Python file.

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 (11)

1. \Data\aorc_ann_max: Feather file containing Analysis of Record for Calibration (AORC) maximum 1-hour and 24-hour accumulations for June, July, and August (JJA) for 2016-2022.

Variables include: maximum 1-hour and 24-hour accumulated precipitation in millimeters (mm)


2. \Data\aorc_atgage: Feather file containing AORC 1-hour and 24-hour accumulations at gage locations.

Variables include: maximum 1-hour and 24-hour accumulated precipitation in mm


3. \Data\atlas_14: Feather file containing Atlas 14 10-year recurrence 1-hour and 24-hour accumulations.

Variables include: 10-year recurrence 1-hour and 24-hour accumulated precipitation in mm


4. \Data\coag_1: Feather file containing CoAgMET 1-hour accumulations.

Variables include: 1-hour accumulated precipitation in mm


5. \Data\coag_24: Feather file containing CoAgMET 24-hour accumulations.

Variables include: 24-hour accumulated precipitation in mm


6. \Data\conus_ann_max: Feather file containing CONUS404 maximum 1-hour and 24-hour accumulations for 1980-2022.

Variables include: maximum 1-hour and 24-hour accumulated precipitation in mm


7. \Data\conus_atgage: Feather file containing CONUS404 1-hour and 24-hour accumulations at gage locations.

Variables include: 1-hour and 24-hour accumulated precipitation in mm


8. \Data\conus_elev: Feather file containing elevation with HUC2 basins with CONUS404 grid.

Variables include: elevation in meters (m)


9. \Data\mrms_ann_max: Feather file containing Multi-Radar Multi-Sensor (MRMS) maximum 1-hour and 24-hour accumulations for JJA for 2016-2022.

Variables include: maximum 1-hour and 24-hour accumulated precipitation in mm


10. \Data\mrms_atgage: Feather file containing MRMS 1-hour and 24-hour accumulations at gage locations.

Variables include: 1-hour and 24-hour accumulated precipitation in mm


11. \Data\reps: Feather file containing Regional Extreme Precipitation Study (REPS) 10-year recurrence 1-hour and 24-hour accumulations.

Variables include: 10-year recurrence 1-hour and 24-hour accumulated precipitation in mm



SUPPELEMENTAL FILES (13)

Note: For all PY files, see _variable_descriptions.csv for a list and description of the variables used in each of these files.

1. \Supplements\22-1-01-21_JFSP_final_report.pdf: Portable Document Format file containing the JFSP Project ID: 22-1-01-21 Final Report "Characterizing rain storm intensity, duration, and size across an elevation gradient for assessment of post-fire hazards.

2. \Supplements\ann_max_px.py: Python script (PY) file that will open dataset (CONUS404, AORC, MRMS 1-hour radar only) files stored by year, select region of interest (ROI), regrid to CONUS404 grid, and for each file save maximum 1-hour and 24-hour accumulations.

3. \Supplements\coagmet.py: PY file that will download CoAgMET gage data and metadata.

4. \Supplements\elev.py: PY file that will regrid elevation data to CONUS404 grid, save HUC2 basins for each coordinate.

5. \Supplements\environment.yml: Yet Another Markup Language (YML) configuration file.

6. \Supplements\get_mrms_data.py: PY file that will download MRMS 1-hour radar only quantitative precipitation estimates (QPE).

7. \Supplements\getAORC_CO.py: PY file that will download AORC precipitation data.

8. \Supplements\getCONUS404_CO_allmonths.py: PY file that will download CONUS404 and regrid to 4-kilometer latitude/longitude grid.

9. \Supplements\mrms_co.py: PY file that will open MRMS files and save for only ROI.

10. \Supplements\pfs_compare.py: PY file that will open REPS and Atlas 14, regrid to CONUS404, and save only ROI.

11. \Supplements\save_atgage.py: PY file that will save gridded datasets at gage locations.

12. \Supplements\save_coag.py: PY file that will merge CoAgMET metadata with gage files, save only ROI, remove gages that have suspicious values, and save only gages with record from 2016-2022.

13. \Supplements\save_conus_year.py: PY file that will chunk CONUS404 hourly files into seasons.

Entity_and_Attribute_Detail_Citation:

see methodology citations

Metadata_Reference_Information:

Metadata_Date: 20250529

Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: Colorado State University

Contact_Person: Peter Nelson

Contact_Position: Associate Professor

Contact_Address:

Address_Type: mailing and physical

Address: 1372 Campus Delivery

City: Fort Collins

State_or_Province: CO

Postal_Code: 80523-1372

Country: USA

Contact_Voice_Telephone: 970-491-5247

Contact_Electronic_Mail_Address: peter.nelson@colostate.edu

Contact Instructions: This contact information was current as of original publication date. For current information see Contact Us page on: https://doi.org/10.2737/RDS.

Metadata_Standard_Name: FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001.1-1999