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Améliorer la prévision de température en montagne par des descentes d'échelle

Abstract : In mountain areas, a numerical model with high spatial resolution is necessary to forecast the local meteorological conditions and the natural hazard such as avalanches. To limit time-consuming computations, downscaling methods were used to produce meteorological fields within a grid spacing of 500 m in the Alps from the Météo-France 1.3 km resolution forecast model (Arome). The evaluation focuses on the 2 meters temperature which is a key variable in snowpack changes. One method employs a correction based on a local vertical temperature lapse rate. Its impact is quite positive in some atmospheric conditions but remains limited by the Arome bias.
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https://hal-meteofrance.archives-ouvertes.fr/meteo-03520545
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Submitted on : Tuesday, January 11, 2022 - 9:57:33 AM
Last modification on : Thursday, November 17, 2022 - 4:12:17 AM

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Gabriel Arnould, Ingrid Dombrowski-Etchevers, Isabelle Gouttevin, Yann Seity. Améliorer la prévision de température en montagne par des descentes d'échelle. La Météorologie, 2021, 115, pp.037. ⟨10.37053/lameteorologie-2021-0091⟩. ⟨meteo-03520545⟩

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