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Development of an ensemble Kalman filter data assimilation system for the Venusian atmosphere

Sugimoto, Norihiko; Takagi, Masahiro; Kouyama, Toru +3 more

The size and mass of Venus is similar to those of the Earth; however, its atmospheric dynamics are considerably different and they are poorly understood due to limited observations and computational difficulties. Here, we developed a data assimilation system based on the local ensemble transform Kalman filter (LETKF) for a Venusian Atmospheric GCM…