Evaluation of Three Reanalysis Soil Temperature Datasets with Observation Data over China

Soil temperature is a crucial parameter in surface emissions of carbon, water, and energy exchanges. This study utilized the soil 836 national basic meteorological observing stations over China to evaluate three products. data from Meteorology Administration Land Data Assimilation System (CLDAS), European Centre for Medium-Range Weather Forecasts (ERA-Interim), Global (GLDAS) during 2017 are evaluated. The results showed that reanalysis datasets display significant north-to-south difference eastern with generally underestimated magnitudes. CLDAS perform assessment best at different depths can be reproduced well most areas China. slightly overestimates summer. deviation ERA-Interim appears summer (summer autumn). As depth increases, errors all increase. represents but owns more considerable bias barren or sparsely vegetated croplands. performs poorest urban built-up areas. GLDAS overall an enormous mixed forest, grassland, croplands areas, which should improved, especially However, it better open shrublands ST forests shows south region than north region. For grasslands, smaller MEs located northwest regions. performance