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High-resolution maps of historical and 21st century ecological drought metrics using multivariate matching algorithms for drylands of western U.S. and Canada

Supplemental high-resolution spatial data associated with doi: 10.5066/P9YU6PQB

Dates

Publication Date
Start Date
1980
End Date
2100

Citation

Renne, R.R., Bradford, J.B., Schlaepfer, D.R., and Lauenroth, W.K., 2022, High-resolution maps of historical and 21st century ecological drought metrics using multivariate matching algorithms for drylands of western U.S. and Canada: U.S. Geological Survey data release, https://doi.org/10.5066/P950E9GH.

Summary

These data were compiled using a new multivariate matching algorithm that transfers simulated soil moisture conditions (Bradford et al. 2020) from an original 10-km resolution to a 30-arcsec spatial resolution. Also, these data are a supplement to a previously published journal article (Bradford et al., 2020) and USGS data release (Bradford and Schlaepfer, 2020). The objectives of our study were to (1) characterize geographic patterns in ecological drought under historical climate, (2) quantify the direction and magnitude of projected responses in ecological drought under climate change, (3) identify areas and drought metrics with projected changes that are robust across climate models for a representative set of climate scenarios. [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

Longest_Dry_Period_Deep.zip 71.62 MB application/zip
Longest_Dry_Period_Shallow.zip 69.07 MB application/zip
MAP_2_PET.zip 78.55 MB application/zip
MAP_mm.zip 73.13 MB application/zip
MAT_C.zip 73.79 MB application/zip
Precip_monthly_mm.7z 681.8 MB application/x-7z-compressed
SWA_Deep_Monthly.7z 598.18 MB application/x-7z-compressed
SWA_Shallow_Monthly.7z 597.7 MB application/x-7z-compressed
T_HOTDRY.zip 77.63 MB application/zip
TempAir_Monthly_C.7z 695.63 MB application/x-7z-compressed
Total_Dry_Days_Deep.zip 71.37 MB application/zip
Total_Dry_Days_Shallow.zip 71.19 MB application/zip

Purpose

The purpose of these data is to describe geographic patterns in simulated ecological drought metrics under historical and projected future climate conditions at a 30-arcsec spatial resolution. These data can be used to evaluate the high resolution matching of ecological drought metrics as implemented by Renne et al., (202X), within the scope of Bradford et al. 2020 and/or the robust ecological metrics described in Bradford et al. 2019. These data may also be used to evaluate the potential impact of changing climate conditions on robust ecological drought metrics and within a scope as defined by the study.

Rights

The author(s) of these data request that data users contact them regarding intended use and to assist with understanding limitations and interpretation. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P950E9GH

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