Heavy rainfall prediction applying satellite‐based cloud data assimilation over land

To optimize flood management, it is crucial to determine whether rain will fall within a river basin. This requires very fine precision in prediction of rainfall areas. Cloud data assimilation has great potential to improve the prediction of precipitation area because it can directly obtain informat...

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Veröffentlicht in:	Journal of geophysical research. Atmospheres 2016-08, Vol.121 (16), p.9737-9755
Hauptverfasser:	Seto, Rie, Koike, Toshio, Rasmy, Mohamed
Format:	Artikel
Sprache:	eng
Schlagworte:	Atmosphere Atmospheres Atmospheric precipitations Cloud amount cloud and cloud‐affected data assimilation Cloud precipitation Clouds Data Data assimilation Data collection Duration Dynamical systems Emissivity Fields Flood control Flood management Flood predictions Flooding Floods Geophysics heavy rain prediction Heavy rainfall Land land assimilation Latent heat Methods Microwaves Moisture content Precipitation Precipitation (meteorology) Precipitation intensity Radiance Rain Rainfall Rainfall forecasting Rainfall intensity Remote observing Remote sensing Representations River basins Rivers satellite microwave remote sensing Satellite observation Satellites Soil Soil moisture Water content Water vapor Water vapour Weather forecasting
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