WebSpecific tasks to be carried out include 1) constructing new evaluation metrics to quantify the S2S variability in the U.S. warm season precipitation, 2) statistical mapping of MCS variability onto S2S precipitation variability, 3) partitioning the GFDL AM4’s MCS biases into components associated with large-scale forcing and model physics, 4 ... WebApr 12, 2024 · Finally, the preliminary precipitation predictions, the S2S precipitation predictions, and the precipitation measurements of 34 national and 1130 regional …
Evaluation of S2S Multi-model Extreme Precipitation Forecasts For …
Web1 day ago · The prediction skill of precipitation is generally lower compared with the other variables. Similar to 2-m temperature, the yearly trends of TCC values for precipitation show a characteristic gradual increase in the first week (from 0.47 to 0.51) and the second week (from 0.24 to 0.27) (Fig. 2 (b)).This too reflects the improving prediction skill of the newly … WebFeb 2, 2024 · The precipitation datasets analyzed in this study are from the ECMWF-S2S ensemble hind-casts produced by the VarEPS. The datasets are retrieved from the ECMWF-S2S database, as supported by World Meteorological Organization (WMO) through the World Weather Research Program (WWRP) and World Climate Research Program (WCRP). high muster t 400
Post-processing sub-seasonal precipitation forecasts at …
WebFeb 9, 2024 · Correspondingly, for a given forecast lead time, the daily S2S precipitation hindcast product is also converted into 10-day moving accumulated precipitation at each grid during each summer of 1994–2013. Adopting the same data processing method for the predictions with 0, 1, 2,...., 30 days in advance, we have 83 values of predicted 10-day ... WebApr 3, 2024 · Finally, the evaluation of the ASM precipitation ensemble forecasts in the S2S models demonstrates that the ensemble systems are underdispersive in the three … WebSep 28, 2024 · This study assessed subseasonal global precipitation hindcast quality from all Subseasonal to Seasonal (S2S) prediction project models. Deterministic forecast … high musical 1