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Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models
3 January 2025
P. Hess
Markus Drüke
S. Petri
Felix M. Strnad
Niklas Boers
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Papers citing
"Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models"
22 / 22 papers shown
Title
A Physics-guided Multimodal Transformer Path to Weather and Climate Sciences
Jing Han
Hanting Chen
Kai Han
X. Huang
Yongyun Hu
Wenjun Xu
Dacheng Tao
Ping Zhang
AI4CE
39
0
0
19 Apr 2025
Diffusion models for probabilistic precipitation generation from atmospheric variables
Michael Aich
S. Bathiany
P. Hess
Yu Huang
Niklas Boers
DiffM
45
0
0
01 Apr 2025
Generative assimilation and prediction for weather and climate
Steve Yang
Congyi Nai
Xinyan Liu
W. Li
Jie Chao
...
Bo Lu
Ziniu Xiao
Niklas Boers
Huiling Yuan
Baoxiang Pan
AI4CE
65
2
0
04 Mar 2025
Global spatio-temporal downscaling of ERA5 precipitation through generative AI
Luca Glawion
Julius Polz
Harald Kunstmann
Benjamin Fersch
Christian Chwala
AI4Cl
108
0
0
22 Nov 2024
MambaDS: Near-Surface Meteorological Field Downscaling with Topography Constrained Selective State Space Modeling
Zili Liu
Hao Chen
Lei Bai
Wenyuan Li
Wanli Ouyang
Zhengxia Zou
Zhenwei Shi
Mamba
42
5
0
20 Aug 2024
Applications of Explainable artificial intelligence in Earth system science
Feini Huang
Shijie Jiang
Lu Li
Yongkun Zhang
Ye Zhang
Ruqing Zhang
Qingliang Li
Danxi Li
Wei Shangguan
Yongjiu Dai
38
2
0
12 Jun 2024
Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models
Katie Christensen
Lyric Otto
Seth Bassetti
Claudia Tebaldi
Brian Hutchinson
40
0
0
12 Apr 2024
Conditional diffusion models for downscaling & bias correction of Earth system model precipitation
Michael Aich
P. Hess
Baoxiang Pan
S. Bathiany
Yu Huang
Niklas Boers
AI4Cl
DiffM
31
6
0
05 Apr 2024
Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning
P. Hess
Michael Aich
Baoxiang Pan
Niklas Boers
AI4Cl
27
0
0
05 Mar 2024
Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models
Fenghua Ling
Ouyang Lin
Boufeniza Redouane Larbi
Jing-Jia Luo
Tao Han
Xiaohui Zhong
Lei Bai
AI4Cl
AI4CE
17
2
0
30 Jan 2024
Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method
Zili Liu
Hao Chen
Lei Bai
Wenyuan Li
Keyan Chen
Zhengyi Wang
Wanli Ouyang
Zhengxia Zou
Z. Shi
47
4
0
22 Jan 2024
Reconstructing Historical Climate Fields With Deep Learning
Nils Bochow
Anna Poltronieri
M. Rypdal
Niklas Boers
AI4Cl
AI4CE
10
0
0
30 Nov 2023
WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction
Binqing Wu
Weiqiu Chen
Wengwei Wang
Bingqing Peng
Liang Sun
Ling Chen
13
5
0
09 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology
Qingsong Xu
Yilei Shi
Jonathan Bamber
Ye Tuo
Ralf Ludwig
Xiao Xiang Zhu
AI4CE
20
10
0
08 Oct 2023
Exploring Geometric Deep Learning For Precipitation Nowcasting
Shan Zhao
Sudipan Saha
Zhitong Xiong
Niklas Boers
Xiaoxiang Zhu
15
1
0
11 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
28
3
0
02 Aug 2023
Towards replacing precipitation ensemble predictions systems using machine learning
Rudiger Brecht
Alexander Bihlo
AI4Cl
24
0
0
20 Apr 2023
Deep learning for bias-correcting CMIP6-class Earth system models
P. Hess
S. Lange
Christof Schötz
Niklas Boers
AI4Cl
25
12
0
16 Dec 2022
Generative machine learning methods for multivariate ensemble post-processing
Jieyu Chen
Tim Janke
Florian Steinke
Sebastian Lerch
22
25
0
26 Sep 2022
Hard-Constrained Deep Learning for Climate Downscaling
P. Harder
Alex Hernandez-Garcia
Venkatesh Ramesh
Qidong Yang
P. Sattigeri
Daniela Szwarcman
C. Watson
David Rolnick
19
19
0
08 Aug 2022
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model
D. Gagne
H. Christensen
A. Subramanian
A. Monahan
AI4CE
BDL
41
139
0
10 Sep 2019
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,450
0
21 Nov 2016
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