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Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Hess, Philipp ; Lange, Stefan ; Schötz, Christof ; Boers, Niklas
Titel:
Deep Learning for Bias-Correcting CMIP6-Class Earth System Models
Stichworte:
ATMOSPHERIC COMPOSITION AND STRUCTURE ; Air/sea constituent fluxes ; Volcanic effects ; BIOGEOSCIENCES ; Climate dynamics ; Modeling ; COMPUTATIONAL GEOPHYSICS ; Neural networks, fuzzy logic, machine learning ; Numerical solutions ; CRYOSPHERE ; Avalanches ; Mass balance ; GEODESY AND GRAVITY ; Ocean monitoring with geodetic techniques ; Ocean/Earth/atmosphere/hydrosphere/cryosphere interactions ; Global change from geodesy ; GLOBAL CHANGE ; Land/atmosphere interactions ; Abrup...     »
Zeitschriftentitel:
Earth's Future
Jahr:
2023
Band / Volume:
11
Heft / Issue:
10
Volltext / DOI:
doi:10.1029/2023ef004002
E-ISSN:
2328-4277
Publikationsdatum:
13.10.2023
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