Mid-21st century simulated burn probability projections for moist temperate forests of the Pacific Northwest

Metadata:

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Map_Projection:

Map_Projection_Name: Albers Conical Equal Area

Albers_Conical_Equal_Area:

Standard_Parallel: 29.5

Standard_Parallel: 45.5

Longitude_of_Central_Meridian: -96

Latitude_of_Projection_Origin: 23

False_Easting: 0

False_Northing: 0

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: Coordinate Pair

Coordinate_Representation:

Abscissa_Resolution: 270

Ordinate_Resolution: 270

Planar_Distance_Units: Meters

Geodetic_Model:

Semi-major_Axis: 6378137.0000

Denominator_of_Flattening_Ratio: 298.25722210

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. (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 (65)

Values in each burn probability raster indicate the annual probability of a 270 meter x 270 meter pixel burning in a given year. In other words, each pixel is equal to the total number of times a cell was burned divided by the total number of fire seasons simulated. Burn Probability rasters are provided for a contemporary baseline (1992-2020) time period, and a future mid-21st century time period (2035-2064). For future mid-21st century, individual rasters are provided that were simulated using weather inputs from 12 different global climate models (GCM), for 5 pyromes. In total, there are 65 burn probability rasters included in this data publication ([1 contemporary baseline + 12 future GCM] x 5 pyromes).

The 5 pyromes are:
1. Olympics and Puget Lowlands
2. OR Coast Range
3. OR West Cascades
4. WA North Cascades
5. WA West Cascades

The 12 GCMs are:
1. bcc-csm1-1-m = Beijing Climate Center, China Meteorological Administration
2. canESM2 = Canadian Centre for Climate Modeling and Analysis
3. ccsm4 = National Center of Atmospheric Research, USA
4. cesm1-cam5 = Community Earth System Model Contributors
5. cnrm-cm5-2 = National Centre of Meteorological Research, France
6. csiro-mk3-6-0 = Commonwealth Scientific and Industrial Research Organization, Australia
7. gfdl-cm3 = NOAA Geophysical Fluid Dynamics Laboratory, USA
8. gfdl-esm2g = NOAA Geophysical Fluid Dynamics Laboratory, USA
9. giss-e2-r = NASA Goddard Institute for Space Studies, USA
10.hadgem2-ao = Met Office Hadley Center, UK
11.hadgem2-cc = Met Office Hadley Center, UK
12.miroc-esm-chem = Japan Agency for Marine-Earth Science and Technology, Atmosphere and Ocean Research Institute, and National Institute for Environmental Studies

Note: All GCMs are downscaled climate models from the NEX-DCP30 climate product (Thrasher et al. 2013).


5 FILES (1 contemporary baseline for 5 pyromes)
Contemporary Baseline (1992-2020) Burn Probability rasters for each of the 5 pyromes:
\Data\Olympics and Puget Lowlands\BP_Baseline.tif
\Data\OR Coast Range\BP_Baseline.tif
\Data\OR West Cascades\BP_Baseline.tif
\Data\WA West Cascades\BP_Baseline.tif
\Data\WA North Cascades\BP_Baseline.tif


60 FILES (12 future GCM for 5 pyromes)
Mid-21st century (2035-2064) Burn Probability rasters (for each of 60 pyrome|GCM combinations):
\Data\[PYROME]\BP_[GCxM].tif (E.g., \Data\WA North Cascades\BP_bcc-csm1-1-m.tif)



SUPPLEMENTAL FILES (1)

1. \Supplements\GCM_metadata.pdf: Portable Document Format (PDF) file containing a list of the 12 global climate models (GCM) used and the scientific agency that published the GCM output.

Entity_and_Attribute_Detail_Citation:

Dye, Alex W.; Reilly, Matthew J.; McEvoy, Andy; Lemons, Rebecca E.; Riley, Karin L.; Kim, John B.; Kerns, Becky K. 2024. Simulated future shifts in wildfire regimes in moist forests of Pacific Northwest, USA. Journal of Geophysical Research: Biogeosciences. 129: e2023JG007722. https://doi.org/10.1029/2023JG007722 and https://www.fs.usda.gov/research/treesearch/67587

Thrasher, Bridget; Xiong, Jun; Wang, Weile; Melton, Forrest; Michaelis, Andrew; Nemani, Ramakrishna. 2013. Downscaled climate projections suitable for resource management. Eos Transactions. 94(37): 321. https://doi.org/10.1002/2013EO370002

Metadata_Reference_Information:

Metadata_Date: 20240605

Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: Oregon State University

Contact_Person: Alex Dye

Contact_Position: Faculty Research Associate

Contact_Address:

Address_Type: mailing and physical

Address: 3180 SW Jefferson Way

City: Corvallis

State_or_Province: OR

Postal_Code: 97333

Country: USA

Contact_Electronic_Mail_Address: alex.dye@oregonstate.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