North American Land Data Assimilation System (NLDAS)
The goal of the North American Land Data Assimilation System (NLDAS) is to construct quality-controlled, and spatially and temporally consistent, land-surface model (LSM) datasets from the best available observations and model output to support modeling activities.
Organizations
Launch Date
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Class
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Website
Key Staffs
Science Co-Investigator
Science Team Member
Principal Investigator
The goal of the North American Land Data Assimilation System (NLDAS) is to construct quality-controlled, and spatially and temporally consistent, land-surface model (LSM) datasets from the best available observations and model output to support modeling activities.
Related Publications
2025.
"The HyMAP-3 Hydrodynamic Model.",
NASA Technical Memorandum,NASA/TM-20250009546
[Report]
2021.
"Advances in land surface models and indicators for drought monitoring and prediction.",
Bulletin of the American Meteorological Society,
102
(5):
E1099–E1122
[10.1175/bams-d-20-0087.1]
[Journal Article/Letter]
2021.
"A high‐resolution land data assimilation system optimized for the western United States.",
JAWRA Journal of the American Water Resources Association,
57
(5):
692-710
[10.1111/1752-1688.12910]
[Journal Article/Letter]
2021.
"Assimilation of vegetation conditions improves the representation of drought over agricultural areas.",
J. Hydrometeor.,
22
(5):
1085-1098
[10.1175/jhm-d-20-0065.1]
[Journal Article/Letter]
2019.
"Assimilation of remotely sensed Leaf Area Index into the Noah-MP land surface model: Impacts on water and carbon fluxes and states over the continental U.S.",
J. Hydrometeor.,
20
(7):
1359-1377
[10.1175/jhm-d-18-0237.1]
[Journal Article/Letter]
