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Valuing Information from Mesoscale Forecasts: Insights and Methods

This study delves into the significance of mesoscale forecasts in meteorological predictions, highlighting the contributions of Kees Kok, Ben Wichers Schreur, and Daan Vogelezang. The research emphasizes the value of improved forecasting techniques, including advancements in PV modification and the use of DWL from SOSE. Contributions from experts like Astrid Manders, Wim Verkley, and Gert-Jan Marseille further enhance the understanding of singular vectors within the HIRLAM framework. This collaborative effort illustrates the impact of mesoscale forecasting on weather prediction accuracy.

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Valuing Information from Mesoscale Forecasts: Insights and Methods

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Presentation Transcript

  1. Research topics at KNMI Kees Kok, Ben Wichers Schreur, Daan Vogelezang:value of mesoscale fcsts Astrid Manders, Wim Verkley, Jos Diepeveen, Toon Moene:PV modification from WV Gert-Jan Marseille, Ad Stoffelen, Jan Barkmeijer: DWL from SOSE ADM from SOSE, piew Roel Stappers, Jan Barkmeijer: HIRLAM singular vectors

  2. Valuing information from mesoscale forecasts Kees Kok, Ben Wichers Schreur, Daan Vogelezang

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