Real‐time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project
Goddard Space Flight Center · General Sciences (United States) · +10 more institutions
Abstract
The accuracy of forcing data greatly impacts the ability of land surface models (LSMs) to produce realistic simulations of land surface processes. With this in mind, the multi‐institutional North American Land Data Assimilation System (NLDAS) project has produced retrospective (1996–2002) and real‐time (1999–present) data sets to support its LSM modeling activities. Featuring 0.125° spatial resolution, hourly temporal resolution, nine primary forcing fields, and six secondary validation/model development fields, each data set is based on a backbone of Eta Data Assimilation System/Eta data and is supplemented with observation‐based precipitation and radiation data. Hourly observation‐based precipitation data…
Citation impact
- FWCI
- 9.10
- Percentile
- 100%
- References
- 10
Authors
15- BCB. CosgroveCorresponding
Goddard Space Flight Center, General Sciences (United States), Science Applications International Corporation (United States)
- DLDag Lohmann
National Oceanic and Atmospheric Administration, NOAA National Centers for Environmental Prediction
- KEKenneth E. Mitchell
National Oceanic and Atmospheric Administration, NOAA National Centers for Environmental Prediction
- PRPaul R. Houser
Goddard Space Flight Center
- EFEric F. Wood
Princeton University
Topics & keywords
- Data assimilation
- Forcing (mathematics)
- Environmental science
- Meteorology
- Geostationary Operational Environmental Satellite
- Data set
- Precipitation
- Radar
- Climate action