A High-Resolution Land Data Assimilation System Optimized for the Western United States

التفاصيل البيبلوغرافية
العنوان: A High-Resolution Land Data Assimilation System Optimized for the Western United States
المؤلفون: Jessica M. Erlingis, Matthew Rodell, Christa D. Peters-Lidard, Bailing Li, Sujay V. Kumar, James S. Famiglietti, Stephanie L. Granger, John V. Hurley, Pang-Wei Liu, David M. Mocko
المصدر: Journal of the American Water Resources Association (JAWRA). 57(5)
بيانات النشر: United States: NASA Center for Aerospace Information (CASI), 2021.
سنة النشر: 2021
مصطلحات موضوعية: Earth Resources And Remote Sensing
الوصف: The 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.
نوع الوثيقة: Report
اللغة: English
تدمد: 1752-1688
1093-474X
DOI: 10.1111/1752-1688.12910
URL الوصول: https://ntrs.nasa.gov/citations/20210009981
ملاحظات: 389018.02.20.01.05

NNX17AE79A

80GSFC20C0044

80NM0018D0004
رقم الانضمام: edsnas.20210009981
قاعدة البيانات: NASA Technical Reports
الوصف
تدمد:17521688
1093474X
DOI:10.1111/1752-1688.12910