Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives
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Author(s):
Stefano Materia, Llus Palma Garca, Chiem van Straaten, Sungmin O, Antonios Mamalakis, Leone Cavicchia, Dim Coumou, Paolo de Luca, Marlene Kretschmer, Markus Donat
Published in:
WIREs Climate Change, Issue 15, 2024, ISSN 1757-7780
Publisher:
Wiley
DOI:
10.1002/wcc.914
Constraining decadal variability regionally improves near-term projections of hot, cold and dry extremes
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Author(s):
P De Luca, C Delgado-Torres, R Mahmood, M Samso-Cabre, M G Donat
Published in:
Environmental Research Letters, Issue 18, 2023, ISSN 1748-9326
Publisher:
IOP Publishing
DOI:
10.1088/1748-9326/acf389
Enhanced Blocking Frequencies in VeryHigh Resolution Idealized Climate Model Simulations
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Author(s):
P. De Luca, B. JimnezEsteve, L. Degenhardt, S. Schemm, S. Pfahl
Published in:
Geophysical Research Letters, Issue 51, 2024, ISSN 0094-8276
Publisher:
American Geophysical Union (AGU)
DOI:
10.1029/2024GL111016
Projected Changes in Hot, Dry, and Compound HotDry Extremes Over Global Land Regions
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Author(s):
Paolo De Luca, Markus G. Donat
Published in:
Geophysical Research Letters, Issue 50, 2024, ISSN 1944-8007
Publisher:
American Geophysical Union (AGU)
DOI:
10.1029/2022GL102493
How Credibly Do CMIP6 Simulations Capture Historical Mean and Extreme Precipitation Changes?
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Author(s):
Markus G. Donat, Carlos DelgadoTorres, Paolo De Luca, Rashed Mahmood, Pablo Ortega, Francisco J. DoblasReyes
Published in:
Geophysical Research Letters, Issue 50, 2024, ISSN 0094-8276
Publisher:
American Geophysical Union (AGU)
DOI:
10.1029/2022gl102466