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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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
IOP Publishing
2025-01-01
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| Серии: | Machine Learning. Earth |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1088/3049-4753/ae1cce |
| Метки: |
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