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A High-Resolution Land Data Assimilation System Optimized for the Western United StatesThe Western Land Data Assimilation System (WLDAS) is a custom instance of the NASA Land Information System that combines land surface parameters, meteorological forcing data, and satellite products within a land surface model to produce daily estimates of the water and energy budget variables for the western United States. WLDAS was configured through discussions with partners, with the goal of groundwater sustainability planning for the state of California in mind. The publicly available output dataset has a 1-km grid resolution and spans 1979–present, which makes it suitable for water resources assessments. The data are also able to contextualize the recent drought events in California. Assimilation of Leaf Area Index, which is demonstrated herein to improve simulation over agricultural areas in California, specifically in terms of evapotranspiration in irrigation regions, will be included along with other data assimilation in subsequent releases of WLDAS.
Document ID
20210009981
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Jessica M. Erlingis
(University of Maryland, College Park College Park, Maryland, United States)
Matthew Rodell
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Christa D. Peters-Lidard
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Bailing Li
(University of Maryland, College Park College Park, Maryland, United States)
Sujay V. Kumar
(Goddard Space Flight Center Greenbelt, Maryland, United States)
James S. Famiglietti
(University of Saskatchewan Saskatoon, Saskatchewan, Canada)
Stephanie L. Granger
(Jet Propulsion Lab La Cañada Flintridge, California, United States)
John V. Hurley
(California Environmental Protection Agency Sacramento, California, United States)
Pang-Wei Liu
(Science Systems and Applications (United States) Lanham, Maryland, United States)
David M. Mocko
(Science Applications International Corporation (United States) McLean, Virginia, United States)
Date Acquired
February 9, 2021
Publication Date
March 12, 2021
Publication Information
Publication: Journal of the American Water Resources Association (JAWRA)
Publisher: Wiley
Volume: 57
Issue: 5
Issue Publication Date: October 1, 2021
ISSN: 1093-474X
e-ISSN: 1752-1688
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
WBS: 389018.02.20.01.05
CONTRACT_GRANT: NNX17AE79A
CONTRACT_GRANT: NNX17AE79A
CONTRACT_GRANT: 80GSFC20C0044
CONTRACT_GRANT: 80NM0018D0004
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
land surface modeling
data assimilation
complex terrain
evapotranspiration
reanalysis
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