Land surface temperature and wetness conditions affect and are affected by numerous climatological, meteorological, ecological, and geophysical phenomena. Therefore, accurate, high resolution estimates of terrestrial water and energy storages are valuable for predicting climate change, weather, biological and...
The Global Land Data Assimilation System (GLDAS) project, based at NASA Goddard Space Flight Center, forces the Mosaic land surface model (LSM) with realistic global fields of precipitation, radiation, and near-surface meteorology in order to generate realistic fields (at least within the context ...
The Global Land Data Assimilation System.doi:10.1175/BAMS-85-3-381A Global Land Data Assimilation System (GLDAS) has been developed. Its purpose is to ingest satellite- and ground-based observational data products, using advanced land surface modeling and data assimilation techniques, in order to ...
A Global Land Data Assimilation System (GLDAS) has been developed at NASAs Goddard Space Flight Center. The goal of GLDAS is to produce optimal output fields of land surface states and fluxes by making use of data from advanced remote and ground-based observing systems. GLDAS has its heritage...
Monthly P, ET, and SnM data were obtained from the Global Land Data Assimilation System developed by Rodell et al. (2004), while The Food and Agriculture Organization of the United Nations (FAO) 56 methodology (Allen et al., 1998) was applied to compute Irr. Finally, water table depth ...
The results are compared with those from the Global Land Data Assimilation System (GLDAS), from which trends in China's terrestrial water storage during the past decade have been obtained. This study provides basic information and theoretical support for the sustainable use and development of water...
Geological Survey Agency that are used by the Global Land Data Assimilation System (GLDAS, ref. 21). We used the flow accumulation toolset from ESRI’s ArcGIS software to compute the total mass of inland MPW upstream of the outflow location. The outflow is the most downstream position in a...
et al. The Global Land Data Assimilation System. Bull. Am. Meteorol. Soc. 85, 381–394 (2004). Article ADS Google Scholar Liu, Y. Y. et al. Trend-preserving blending of passive and active microwave soil moisture retrievals. Remote Sens. Environ. 123, 280–297 (2012). Article ADS ...
(2012) found that at the six-hour timestep, the Global Land Data Assimilation System (GLDAS), overestimated temperature more often than it underestimated it at 33 sites in North America. NLDAS, GLDAS and the Climate Forecast System Reanalysis (CFSR) all overestimated incoming shortwave radiation ...
The model is forced by the combined forcing data obtained from the TRMM 3B42 and the Global Land Data Assimilation System (GLDAS) products [53]. The TRMM-GLDAS combination is chosen as they deliver the best water storage estimate in Australia (compared to other combination; see [54]). The...