トップページ    計算科学研究センターとは    人材育成    計算科学eラーニング    データ同化    International Symposium/School on Data Assimilation    International Symposium on Data Assimilation-Online (ISDA-Online)    "An observation operator for geostationary lightning imager data assimilation in storm-scale numerical weather prediction systems "

The International Symposium on Data Assimilation Online (ISDA-Online) April 16, 2021
"Convective-Scale Data Assimilation"
International Symposium on Data Assimilation - OnlineThe webpage will open in a new tab.

The Lightning Imager (LI) onboard the Meteosat Third Generation satellite will provide total lightning observations. The assimilation of such data could improve the thunderstorm prediction accuracy. To prepare the assimilation of LI observations in the French storm-scale regional AROME numerical weather prediction system, an observation operator is required to convert the model variables into a product comparable to the observations. This study focuses on the evaluation of different observation operators from various proxies encountered in the literature and calculated from background fields, i.e. outputs of 1 h AROME forecasts.

講師プロフィール

名前
Pauline Combarnous1,3
Felix Erdmann2
Olivier Caumont1
Eric Defer3
所属
1CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
2Royal Meteorological Institude of Belgium, Brussels, Belgium
3LAERO, Université de Toulouse, UT3, CNRS, IRD, Toulouse, France

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(2021年4月16日)