Spatiotemporal model based on transformer for bias correction and temporal downscaling of forecasts

Spatiotemporal model based on transformer for bias correction and temporal downscaling of forecasts

Numerical weather prediction (NWP) provides the future state of the atmosphere and is a major tool for weather forecasting. However, NWP has inevitable errors and requires bias correction to obtain more accurate forecasts. NWP is based on discrete numerical calculations, which inevitably result in a...

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Bibliografische gegevens
Hoofdauteurs: Li Xiang, Jiping Guan, Jie Xiang, Lifeng Zhang, Fuhan Zhang
Formaat: Artikel
Taal:English
Gepubliceerd in: Frontiers Media S.A. 2022-11-01
Reeks:Frontiers in Environmental Science
Onderwerpen:
spatiotemporal modeling
bias correction
temporal downscaling
weather forecasting
swin transformer
Online toegang:https://www.frontiersin.org/articles/10.3389/fenvs.2022.1039764/full

Internet

https://www.frontiersin.org/articles/10.3389/fenvs.2022.1039764/full

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