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Han et al., 2021 - Google Patents

A deep learning method for bias correction of ECMWF 24–240 h forecasts

Han et al., 2021

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Document ID
10641180925889030056
Author
Han L
Chen M
Chen K
Chen H
Zhang Y
Lu B
Song L
Qin R
Publication year
Publication venue
Advances in Atmospheric Sciences

External Links

Snippet

Correcting the forecast bias of numerical weather prediction models is important for severe weather warnings. The refined grid forecast requires direct correction on gridded forecast products, as opposed to correcting forecast data only at individual weather stations. In this …
Continue reading at link.springer.com (PDF) (other versions)

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