Correcting Forecast Time Biases in CMA-MESO Using Himawari-9 and Time-Shift Method
The accurate forecasting of time, intensity, and spatial distribution is fundamental to weather prediction. However, the limitations of numerical weather prediction (NWP) models, as well as uncertainties in inital conditions, often lead to temporal biases in forecasts. This study addresses these bia...
Gorde:
| Egile Nagusiak: | , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
MDPI AG
2025-02-01
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| Saila: | Remote Sensing |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/2072-4292/17/4/617 |
| Etiketak: |
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