Infilling of missing rainfall radar data with a memory-assisted deep learning approach
<p>Incomplete spatiotemporal meteorological observations can result in misinterpretations of the current climate state, uncertainties in early warning systems, or inaccuracies in nowcasting models and can thereby pose significant challenges in hydrology research or similar applications. Traditional...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Copernicus Publications
2025-08-01
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| Series: | Hydrology and Earth System Sciences |
| Acceso en liña: | https://hess.copernicus.org/articles/29/3687/2025/hess-29-3687-2025.pdf |
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