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Reconstructing Historical Climate Fields With Deep Learning
v1v2 (latest)

Reconstructing Historical Climate Fields With Deep Learning

Science Advances (Sci Adv), 2023
30 November 2023
Nils Bochow
Anna Poltronieri
M. Rypdal
Niklas Boers
    AI4ClAI4CE
ArXiv (abs)PDFHTML

Papers citing "Reconstructing Historical Climate Fields With Deep Learning"

2 / 2 papers shown
Title
Physics-constrained generative machine learning-based high-resolution downscaling of Greenland's surface mass balance and surface temperature
Physics-constrained generative machine learning-based high-resolution downscaling of Greenland's surface mass balance and surface temperature
Nils Bochow
Philipp Hess
Alexander Robinson
AI4Cl
110
0
0
30 Jul 2025
Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models
Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System ModelsNature Machine Intelligence (Nat. Mach. Intell.), 2022
P. Hess
Markus Drüke
S. Petri
Felix M. Strnad
Niklas Boers
279
75
0
03 Jan 2025
1