Soil moisture memory in AGCM simulations: Analysis of global land-atmosphere coupling experiment (GLACE) data

摘要

Soil moisture memory is a key aspect of land-atmosphere interaction and has major implications for seasonal forecasting. Because of a severe lack of soil moisture observations on most continents, existing analyses of global-scale soil moisture memory have relied previously on atmospheric general circulation model (AGCM) experiments, with derived conclusions that are probably model dependent. The present study is the first survey examining and contrasting global-scale (near) monthly soil moisture memory characteristics across a broad range of AGCMs. The investigated simulations, performed with eight different AGCMs, were generated as part of the Global Land-Atmosphere Coupling Experiment.