Abstract: AbstractThe land surface, with a memory longer than the atmosphere in nature, has been recognized as an important source for Subseasonal to Seasonal (S2S) predictability through land?atmosphere coupling at multiple time ...

Abstract: his study presents a comprehensive evaluation on a Conjunctive Surface?Subsurface Process Model (CSSP) in predicting soil temperature?moisture distributions, terrestrial hydrology variations, and land?atmosphere exchanges ...

Abstract: AbstractMeteorological droughts in the continental United States (CONUS) are known to oscillate at the multidecadal time scale in response to the sea surface temperatures (SST) variability over the Pacific Ocean and the ...