ML-driven cross-calibration of microwave and infrared instruments
Microwave (MW) and infrared (IR) observations are fundamental for weather forecasting, climate monitoring, and atmospheric sounding. Traditionally, inter-calibration efforts have focused on harmonizing measurements between similar instruments or within the same spectral domain. In this study, we exp...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IOP Publishing
2025-01-01
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| coleção: | Machine Learning. Earth |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1088/3049-4753/ae1cce |
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