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Land cover and climate informed vapor pressure deficit datasets derived from Daymet
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Created: Sep 25, 2024 at 7:59 p.m. (UTC)
Last updated: Feb 12, 2025 at 5:16 p.m. (UTC) (Metadata update)
Published date: Jan 10, 2025 at 7:04 p.m. (UTC)
DOI: 10.4211/hs.de74b0a457c74deca09f9a41afa03c8f
Citation: See how to cite this resource
Content types: Multidimensional Content  CSV Content 
Sharing Status: Published
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Abstract

Vapor pressure deficit (VPD) is a critical variable in assessing drought conditions and evaluating plant water stress. Gridded products of global and regional VPD are not freely available from satellite remote sensing, model reanalysis, or ground observation datasets. We present two versions of the first gridded VPD product for the Continental US and parts of Northern Mexico and Southern Canada (CONUS+) at a 1 km spatial resolution and daily time step. We derived VPD from Daymet maximum daily temperature and average daily vapor pressure and scale the estimates based on (1) climate determined by the Köppen-Geiger classifications and (2) land cover determined by the International Geosphere-Biosphere Programme. Ground-based VPD data from 253 AmeriFlux sites representing different climate and land cover classifications were used to improve the Daymet-derived VPD estimates for every pixel in the CONUS+ grid to produce the final datasets. We evaluated the Daymet-derived VPD against independent observations and reanalysis data. The CONUS+ VPD datasets will aid in investigating disturbances including drought and wildfire, and informing land management strategies.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
CONUS+
North Latitude
50.0000°
East Longitude
-67.0000°
South Latitude
25.0000°
West Longitude
-125.0000°

Temporal

Start Date:
End Date:

Content

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

THREDDS Data Service

https://thredds.hydroshare.org/thredds/catalog/hydroshare/resources/de74b0a457c74deca09f9a41afa03c8f/data/contents/catalog.html

THREDDS Documentation    OPeNDAP Documentation

Related Resources

This resource is described by Corak, N.K., Thornton, P.E. & Lowman, L.E.L. A high resolution, gridded product for vapor pressure deficit using Daymet. Sci Data 12, 256 (2025). https://doi.org/10.1038/s41597-025-04544-5

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
U.S. National Science Foundation ORE-CZ: Integrating Vegetation Phenology to Understand the Sensitivity of Dynamic Water Storage to Drought Using Remote Sensing Data and Hydrology Modeling 2228047

How to Cite

Corak, N. K., L. E. Lowman (2025). Land cover and climate informed vapor pressure deficit datasets derived from Daymet, HydroShare, https://doi.org/10.4211/hs.de74b0a457c74deca09f9a41afa03c8f

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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