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Research article 18 Nov 2013
Research article | 18 Nov 2013
N. Voisin 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.
business-as-usualclimate scenario. Changes in large-scale atmospheric circulation and extent of warming vary with season, and these generally lead to increases, especially after mid-century, in factors associated with winter snowstorms, freezing rain, drought, forest fires, as well as atmospheric forcing of spring floods, although not necessarily summer convection.
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