Integration of satellite observations in cloudy regions of the sky (IMAGE)
Caption
Satellite-based hyperspectral infrared sounders provide primary observations containing temperature and humidity information at different pressure levels, which is critical for data assimilation in numerical weather prediction (NWP) models. However, because NWP operational centers prioritize data from clear sky conditions, a “Cloud-clearing" methodology has been developed. By considering collocated, high spatial resolution imager observations, the influence of clouds within a sub-footprint is removed, and the resulting "clear equivalent” observations can also be assimilated into NWP models. Therefore, the assimilation efficiency of data in cloudy skies is improved, along with forecasts of severe storms and typhoons.
Credit
Advances in Atmospheric Sciences
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