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- W3011596492 abstract "AbstractThere is a high demand for agrohydrologic models to use gridded near-surface air temperature data as the model input for estimating regional and global water budgets and cycles. The Global Land Data Assimilation System (GLDAS) developed by combining simulation models with observations provides a long-term gridded meteorological dataset at the global scale. However, the GLDAS air temperature products have not been comprehensively evaluated, although the accuracy of the products was assessed in limited areas. In this study, the daily 0.25° resolution GLDAS air temperature data are compared with two reference datasets: 1) 1-km-resolution gridded Daymet data (2002 and 2010) for the conterminous United States and 2) global meteorological observations (2000–11) archived from the Global Historical Climatology Network (GHCN). The comparison of the GLDAS datasets with the GHCN datasets, including 13 511 weather stations, indicates a fairly high accuracy of the GLDAS data for daily temperature. The quality ..." @default.
- W3011596492 created "2020-03-23" @default.
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- W3011596492 date "2014-12-01" @default.
- W3011596492 modified "2023-09-26" @default.
- W3011596492 title "Evaluation of the Global Land Data Assimilation System (GLDAS) air temperature data products" @default.
- W3011596492 hasPublicationYear "2014" @default.
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