作者: Rongqian Yang , Kenneth Mitchell , Jesse Meng , Michael Ek
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摘要: AbstractTo examine the impact from land model upgrades and different initializations on National Centers for Environmental Prediction (NCEP)’s Climate Forecast System (CFS), extensive T126 CFS experiments are carried out 25 summers with 10 ensemble members using old Oregon State University (OSU) surface (LSM) new Noah LSM. The LSM, initialized in turn states NCEP–Department of Energy Global Reanalysis 2 (GR-2), Land Data (GLDAS), GLDAS climatology, is compared to control run OSU LSM GR-2 states. Using anomaly correlation as a primary measure, summer-season prediction skill models initial assessed SST, precipitation, 2-m air temperature over contiguous United States (CONUS) an basis.Results these indicate that upgrading improves the...