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Earth Sciences Division
Operational

Global Land Data Assimilation System (GLDAS)

The goal of the Global Land Data Assimilation System (GLDAS) is to ingest satellite- and ground-based observational data products, using advanced land surface modeling and data assimilation techniques, in order to generate optimal fields of land surface states and fluxes (Rodell et al., 2004a).

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Class
Computer Models
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Key Staffs

The goal of the Global Land Data Assimilation System (GLDAS) is to ingest satellite- and ground-based observational data products, using advanced land surface modeling and data assimilation techniques, in order to generate optimal fields of land surface states and fluxes (Rodell et al., 2004a).

Related Publications

2026. "Reconstructing reservoir water levels using basin-scale GRACE TWS and machine learning: A case study in the Upper Parana River Basin.", Journal of Hydrology: Regional Studies, 65 103503 [10.1016/j.ejrh.2026.103503] [Journal Article/Letter]

2026. "Floods in 2025.", Nature Reviews Earth & Environment, [10.1038/s43017-026-00779-x] [Journal Article/Letter]

2025. "The HyMAP-3 Hydrodynamic Model.", NASA Technical Memorandum, NASA/TM-20250009546 [Report]

2025. "An economic impact assessment of the use of earth observation information in flood hazard communication.", Natural Hazards, 121 (15): 17913-17933 [10.1007/s11069-025-07499-3] [Journal Article/Letter]

2024. "Characterizing the 2019-2021 drought in La Plata River Basin with GLDAS and SMAP.", Journal of Hydrology: Regional Studies, 52 101679 [10.1016/j.ejrh.2024.101679] [Journal Article/Letter]