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2101.06813
Cited By
Fast and accurate learned multiresolution dynamical downscaling for precipitation
18 January 2021
Jiali Wang
Zhengchun Liu
Ian Foster
Won Chang
R. Kettimuthu
R. Kotamarthi
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Papers citing
"Fast and accurate learned multiresolution dynamical downscaling for precipitation"
15 / 15 papers shown
Probabilistic Super-Resolution for Urban Micrometeorology via a Schrödinger Bridge
Y. Yasuda
R. Onishi
DiffM
183
1
0
14 Oct 2025
Diffusion-Based, Data-Assimilation-Enabled Super-Resolution of Hub-height Winds
Xiaolong Ma
Xu Dong
Ashley Tarrant
Lei Yang
R. Kotamarthi
Jiali Wang
Feng Yan
R. Kettimuthu
176
0
0
03 Oct 2025
Leveraging Land Cover Priors for Isoprene Emission Super-Resolution
Remote Sensing (RS), 2025
Christopher Ummerle
A. Giganti
S. Mandelli
Paolo Bestagini
Stefano Tubaro
204
1
0
24 Mar 2025
Can AI be enabled to dynamical downscaling? A Latent Diffusion Model to mimic km-scale COSMO5.0\_CLM9 simulations
Geoscientific Model Development (GMD), 2024
Elena Tomasi
Gabriele Franch
M. Cristoforetti
AI4CE
177
2
0
19 Jun 2024
Generative Diffusion-based Downscaling for Climate
Robbie A. Watt
Laura A. Mansfield
DiffM
350
24
0
27 Apr 2024
Hybrid Neural Representations for Spherical Data
International Conference on Machine Learning (ICML), 2024
Hyomin Kim
Yunhui Jang
Jaeho Lee
SungSoo Ahn
391
3
0
05 Feb 2024
Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey
Shengchao Chen
Guodong Long
Jing Jiang
Dikai Liu
Chengqi Zhang
SyDa
AI4CE
390
42
0
05 Dec 2023
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation
S. K. Mukkavilli
Daniel Salles Civitarese
J. Schmude
Johannes Jakubik
Anne Jones
...
R. Ganti
Hendrik Hamann
U. Nair
Rahul Ramachandran
Kommy Weldemariam
AI4Cl
AI4CE
294
26
0
19 Sep 2023
Multi-variable Hard Physical Constraints for Climate Model Downscaling
Jose González-Abad
Álex Hernández-García
P. Harder
David Rolnick
José Manuel Gutiérrez
AI4Cl
214
9
0
02 Aug 2023
Multi-BVOC Super-Resolution Exploiting Compounds Inter-Connection
European Signal Processing Conference (EUSIPCO), 2023
A. Giganti
S. Mandelli
Paolo Bestagini
Marco Marcon
Stefano Tubaro
191
3
0
23 May 2023
Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation Approaches
Journal of Advances in Modeling Earth Systems (JAMES), 2023
Jose González-Abad
Jorge Baño-Medina
José Manuel Gutiérrez Llorente
227
23
0
03 Feb 2023
Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification
Artificial Intelligence for the Earth Systems (AIES), 2022
Daniel J. Getter
J. Bessac
J. Rudi
Yan Feng
241
2
0
30 Nov 2022
Hard-Constrained Deep Learning for Climate Downscaling
Journal of machine learning research (JMLR), 2022
P. Harder
Alex Hernandez-Garcia
Venkatesh Ramesh
Qidong Yang
P. Sattigeri
Daniela Szwarcman
C. Watson
David Rolnick
497
46
0
08 Aug 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks
APL Machine Learning (AML), 2022
Y. Yasuda
R. Onishi
441
7
0
22 Feb 2022
Strict Enforcement of Conservation Laws and Invertibility in CNN-Based Super Resolution for Scientific Datasets
A. Geiss
Joseph C. Hardin
327
6
0
11 Nov 2020
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