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Research article 21 Dec 2012
Research article | 21 Dec 2012
Ø. Hodnebrog et al.
Impact of initialized Land Surface temperature and Snowpack on Sub-seasonal to Seasonal Prediction(LS4P) and provides the first phase experimental protocol (LS4P-I). The LS4P introduces spring land surface temperature/subsurface temperature anomalies over high mountain areas as a crucial factor that can lead to significant improvement in summer precipitation prediction.
too much light rain and too little heavy rainis largely alleviated over the tropics with the stochastic scheme. Results from this study provide important insights into the model performance of EAMv1 when stochasticity is included in deep convective parameterization.
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