Artificial intelligence for modeling and understanding extreme weather and climate events
2025 · Nature Communications · 135 citations
https://doi.org/10.1038/s41467-025-56573-8
M
Miguel‐Ángel Fernández‐Torres
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38
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433
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8
h-index
5
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Miguel‐Ángel Fernández‐Torres is an academic researcher from Universidad Carlos III de Madrid. The author has contributed to research in topics: Meteorological Phenomena and Simulations & Climate variability and models & Flood Risk Assessment and Management. The author has an h-index of 8, co-authored 33 publications.
ORCID: 0000-0002-0801-199XPapers by this author
worksDomain knowledge-driven variational recurrent networks for drought monitoring
2024 · Remote Sensing of Environment · 8 citations
https://doi.org/10.1016/j.rse.2024.114252
DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts
2025 · Scientific Data · 7 citations
https://doi.org/10.1038/s41597-025-04447-5
Calibration and uncertainty quantification for deep learning-based drought detection
2025 · International Journal of Applied Earth Observation and Geoinformation · 7 citations
https://doi.org/10.1016/j.jag.2025.104563
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