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Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric
  Fields with a Generative Adversarial Network
v1v2v3v4 (latest)

Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network

20 May 2020
J. Leinonen
D. Nerini
A. Berne
ArXiv (abs)PDFHTMLGithub (70★)

Papers citing "Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network"

50 / 51 papers shown
On Global Applicability and Location Transferability of Generative Deep Learning Models for Precipitation Downscaling
On Global Applicability and Location Transferability of Generative Deep Learning Models for Precipitation Downscaling
P. Harder
Christian Lessig
Matthew Chantry
Francis Pelletier
David Rolnick
AI4Cl
248
1
0
01 Dec 2025
Sparse Local Implicit Image Function for sub-km Weather Downscaling
Sparse Local Implicit Image Function for sub-km Weather Downscaling
Yago del Valle Inclan Redondo
Enrique Arriaga-Varela
Dmitry Lyamzin
Pablo Cervantes
Tiago Ramalho
141
0
0
23 Oct 2025
EnScale: Temporally-consistent multivariate generative downscaling via proper scoring rules
EnScale: Temporally-consistent multivariate generative downscaling via proper scoring rules
Maybritt Schillinger
Maxim Samarin
Xinwei Shen
R. Knutti
N. Meinshausen
AI4ClSyDa
516
9
0
30 Sep 2025
Observation-guided Interpolation Using Graph Neural Networks for High-Resolution Nowcasting in Switzerland
Observation-guided Interpolation Using Graph Neural Networks for High-Resolution Nowcasting in Switzerland
Ophélia Miralles
Daniele Nerini
Jonas Bhend
Baudouin Raoult
Christoph Spirig
153
0
0
16 Aug 2025
Multimodal Atmospheric Super-Resolution With Deep Generative Models
Multimodal Atmospheric Super-Resolution With Deep Generative Models
Dibyajyoti Chakraborty
Haiwen Guan
Jason Stock
T. Arcomano
Guido Cervone
R. Maulik
DiffM
327
8
0
28 Jun 2025
RainScaleGAN: a Conditional Generative Adversarial Network for Rainfall Downscaling
RainScaleGAN: a Conditional Generative Adversarial Network for Rainfall DownscalingArtificial Intelligence for the Earth Systems (AI4ES), 2025
Marcello Iotti
Paolo Davini
Jost von Hardenberg
Giuseppe Zappa
GAN
240
2
0
17 Mar 2025
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling
Subhankar Ghosh
Arun Sharma
Jayant Gupta
Aneesh Subramanian
Shashi Shekhar
DiffM
431
9
0
28 Jan 2025
Kolmogorov Arnold Neural Interpolator for Downscaling and Correcting Meteorological Fields from In-Situ Observations
Kolmogorov Arnold Neural Interpolator for Downscaling and Correcting Meteorological Fields from In-Situ Observations
Zili Liu
Hao Chen
Junlin Wu
Wenyuan Li
Zhengxia Zou
Zhenwei Shi
289
5
0
24 Jan 2025
Global spatio-temporal downscaling of ERA5 precipitation through
  generative AI
Global spatio-temporal downscaling of ERA5 precipitation through generative AInpj Climate and Atmospheric Science (npj Clim. Atmos. Sci.), 2024
Luca Glawion
Julius Polz
Harald Kunstmann
Benjamin Fersch
Christian Chwala
AI4Cl
368
11
0
22 Nov 2024
IceDiff: High Resolution and High-Quality Sea Ice Forecasting with
  Generative Diffusion Prior
IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior
Jingyi Xu
Siwei Tu
Weidong Yang
Shuhao Li
Keyi Liu
Yeqi Luo
Lipeng Ma
Ben Fei
Junlin Wu
DiffMAI4Cl
213
2
0
10 Oct 2024
Compressing high-resolution data through latent representation encoding
  for downscaling large-scale AI weather forecast model
Compressing high-resolution data through latent representation encoding for downscaling large-scale AI weather forecast model
Qian Liu
Bing Gong
Xiaoran Zhuang
Xiaohui Zhong
Zhiming Kang
Haoyang Li
138
2
0
10 Oct 2024
Kilometer-Scale Convection Allowing Model Emulation using Generative
  Diffusion Modeling
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling
Jaideep Pathak
Y. Cohen
Piyush Garg
Peter Harrington
Noah D. Brenowitz
...
Morteza Mardani
Arash Vahdat
Shaoming Xu
K. Kashinath
Michael Pritchard
DiffMAI4Cl
360
29
0
20 Aug 2024
Evaluating the transferability potential of deep learning models for
  climate downscaling
Evaluating the transferability potential of deep learning models for climate downscaling
Ayush Prasad
P. Harder
Qidong Yang
Prasanna Sattegeri
Daniela Szwarcman
Campbell Watson
David Rolnick
261
9
0
17 Jul 2024
A Likelihood-Based Generative Approach for Spatially Consistent
  Precipitation Downscaling
A Likelihood-Based Generative Approach for Spatially Consistent Precipitation Downscaling
Jose González-Abad
212
1
0
26 Jun 2024
Can AI be enabled to dynamical downscaling? A Latent Diffusion Model to
  mimic km-scale COSMO5.0\_CLM9 simulations
Can AI be enabled to dynamical downscaling? A Latent Diffusion Model to mimic km-scale COSMO5.0\_CLM9 simulationsGeoscientific Model Development (GMD), 2024
Elena Tomasi
Gabriele Franch
M. Cristoforetti
AI4CE
190
2
0
19 Jun 2024
Capturing Climatic Variability: Using Deep Learning for Stochastic
  Downscaling
Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling
Kiri Daust
Adam Monahan
264
7
0
31 May 2024
CaFA: Global Weather Forecasting with Factorized Attention on Sphere
CaFA: Global Weather Forecasting with Factorized Attention on Sphere
Zijie Li
Anthony Zhou
Saurabh Patil
A. Farimani
402
6
0
12 May 2024
Generative Diffusion-based Downscaling for Climate
Generative Diffusion-based Downscaling for Climate
Robbie A. Watt
Laura A. Mansfield
DiffM
359
26
0
27 Apr 2024
Interpretable Machine Learning for Weather and Climate Prediction: A
  Survey
Interpretable Machine Learning for Weather and Climate Prediction: A Survey
Ruyi Yang
Jingyu Hu
Zihao Li
Jianli Mu
Tingzhao Yu
Jiangjiang Xia
Xuhong Li
Aritra Dasgupta
Haoyi Xiong
AI4CE
369
9
0
24 Mar 2024
Generative Adversarial Models for Extreme Downscaling of Climate
  Datasets
Generative Adversarial Models for Extreme Downscaling of Climate Datasets
Guiye Li
Guofeng Cao
AI4CE
178
0
0
21 Feb 2024
Observation-Guided Meteorological Field Downscaling at Station Scale: A
  Benchmark and a New Method
Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method
Zili Liu
Hao Chen
Mengwei He
Wenyuan Li
Keyan Chen
Zhengyi Wang
Wanli Ouyang
Zhengxia Zou
Z. Shi
309
6
0
22 Jan 2024
Precipitation Downscaling with Spatiotemporal Video Diffusion
Precipitation Downscaling with Spatiotemporal Video Diffusion
Prakhar Srivastava
Ruihan Yang
Gavin Kerrigan
Gideon Dresdner
Jeremy McGibbon
Christopher S. Bretherton
Stephan Mandt
DiffM
466
16
0
11 Dec 2023
Foundation Models for Weather and Climate Data Understanding: A
  Comprehensive Survey
Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey
Shengchao Chen
Guodong Long
Jing Jiang
Dikai Liu
Chengqi Zhang
SyDaAI4CE
397
44
0
05 Dec 2023
Generative ensemble deep learning severe weather prediction from a
  deterministic convection-allowing model
Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing modelArtificial Intelligence for the Earth Systems (AI4ES), 2023
Yingkai Sha
Ryan Sobash
David John Gagne
326
8
0
09 Oct 2023
Precipitation nowcasting with generative diffusion models
Precipitation nowcasting with generative diffusion models
Andrea Asperti
Fabio Merizzi
Alberto Paparella
G. Pedrazzi
M. Angelinelli
Stefano Colamonaco
DiffM
316
40
0
13 Aug 2023
Fourier Neural Operators for Arbitrary Resolution Climate Data
  Downscaling
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling
Qidong Yang
Alex Hernandez-Garcia
P. Harder
Venkatesh Ramesh
Prasanna Sattegeri
Daniela Szwarcman
C. Watson
David Rolnick
AI4CE
253
33
0
23 May 2023
On the use of Deep Generative Models for Perfect Prognosis Climate
  Downscaling
On the use of Deep Generative Models for Perfect Prognosis Climate Downscaling
Jose González-Abad
Jorge Baño-Medina
Ignacio Heredia Cachá
AI4ClAI4CEDiffM
212
2
0
27 Apr 2023
Latent diffusion models for generative precipitation nowcasting with
  accurate uncertainty quantification
Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification
J. Leinonen
U. Hamann
D. Nerini
U. Germann
Gabriele Franch
DiffM
223
81
0
25 Apr 2023
DiffESM: Conditional Emulation of Earth System Models with Diffusion
  Models
DiffESM: Conditional Emulation of Earth System Models with Diffusion Models
Seth Bassetti
Brian Hutchinson
Claudia Tebaldi
Ben Kravitz
DiffM
244
13
0
23 Apr 2023
Inductive biases in deep learning models for weather prediction
Inductive biases in deep learning models for weather prediction
Jannik Thümmel
Matthias Karlbauer
S. Otte
C. Zarfl
Georg Martius
...
Thomas Scholten
Ulrich Friedrich
V. Wulfmeyer
B. Goswami
Martin Volker Butz
AI4CE
398
8
0
06 Apr 2023
Finding the right XAI method -- A Guide for the Evaluation and Ranking
  of Explainable AI Methods in Climate Science
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate ScienceArtificial Intelligence for the Earth Systems (AI4ES), 2023
P. Bommer
M. Kretschmer
Anna Hedström
Dilyara Bareeva
Marina M.-C. Höhne
414
63
0
01 Mar 2023
Algorithmic Hallucinations of Near-Surface Winds: Statistical
  Downscaling with Generative Adversarial Networks to Convection-Permitting
  Scales
Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting ScalesArtificial Intelligence for the Earth Systems (AI4ES), 2023
Nicolaas J. Annau
Alex J. Cannon
A. Monahan
295
25
0
17 Feb 2023
Machine learning emulation of a local-scale UK climate model
Machine learning emulation of a local-scale UK climate model
Henry Addison
Elizabeth Kendon
Suman V. Ravuri
Laurence Aitchison
Peter A. G. Watson
AI4ClAI4CE
301
30
0
29 Nov 2022
Generative Modeling of High-resolution Global Precipitation Forecasts
Generative Modeling of High-resolution Global Precipitation Forecasts
James Duncan
Shashank Subramanian
P. Harrington
AI4Cl
166
6
0
22 Oct 2022
Generative machine learning methods for multivariate ensemble
  post-processing
Generative machine learning methods for multivariate ensemble post-processingAnnals of Applied Statistics (AOAS), 2022
Jieyu Chen
Tim Janke
Florian Steinke
Sebastian Lerch
312
41
0
26 Sep 2022
Hard-Constrained Deep Learning for Climate Downscaling
Hard-Constrained Deep Learning for Climate DownscalingJournal of machine learning research (JMLR), 2022
P. Harder
Alex Hernandez-Garcia
Venkatesh Ramesh
Qidong Yang
P. Sattigeri
Daniela Szwarcman
C. Watson
David Rolnick
514
46
0
08 Aug 2022
On the modern deep learning approaches for precipitation downscaling
On the modern deep learning approaches for precipitation downscalingEarth Science Informatics (ESI), 2022
B. Kumar
Kaustubh Atey
B. Singh
R. Chattopadhyay
N. Acharya
Manmeet Singh
R. Nanjundiah
A. S. Rao
MLAU
336
56
0
02 Jul 2022
DL4DS -- Deep Learning for empirical DownScaling
DL4DS -- Deep Learning for empirical DownScalingEnvironmental Data Science (EDS), 2022
C. G. Gomez Gonzalez
AI4ClAI4CE
149
7
0
07 May 2022
A Generative Deep Learning Approach to Stochastic Downscaling of
  Precipitation Forecasts
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation ForecastsJournal of Advances in Modeling Earth Systems (JAMES), 2022
L. Harris
Andrew T. T. McRae
Matthew Chantry
P. Dueben
T. Palmer
300
154
0
05 Apr 2022
Photographic Visualization of Weather Forecasts with Generative
  Adversarial Networks
Photographic Visualization of Weather Forecasts with Generative Adversarial NetworksArtificial Intelligence for the Earth Systems (AIES), 2022
C. Sigg
Flavia Cavallaro
Tobias Günther
Martin R. Oswald
90
0
0
29 Mar 2022
Increasing the accuracy and resolution of precipitation forecasts using
  deep generative models
Increasing the accuracy and resolution of precipitation forecasts using deep generative modelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Ilan Price
S. Rasp
AI4Cl
262
59
0
23 Mar 2022
Seamless lightning nowcasting with recurrent-convolutional deep learning
Seamless lightning nowcasting with recurrent-convolutional deep learning
J. Leinonen
U. Hamann
U. Germann
317
33
0
15 Mar 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in
  Two-Dimensional Fluids Using Convolutional Neural Networks
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural NetworksAPL Machine Learning (AML), 2022
Y. Yasuda
R. Onishi
447
7
0
22 Feb 2022
Spatiotemporal Weather Data Predictions with Shortcut
  Recurrent-Convolutional Networks: A Solution for the Weather4cast challenge
Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast challenge
J. Leinonen
178
7
0
03 Nov 2021
WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data
WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data
Rupa Kurinchi-Vendhan
Björn Lütjens
Ritwik Gupta
Lucien Werner
Dava Newman
236
22
0
17 Sep 2021
Combining data assimilation and machine learning to estimate parameters
  of a convective-scale model
Combining data assimilation and machine learning to estimate parameters of a convective-scale modelQuarterly Journal of the Royal Meteorological Society (QJRMS), 2021
Stefanie Legler
T. Janjić
179
22
0
07 Sep 2021
Bridging observation, theory and numerical simulation of the ocean using
  Machine Learning
Bridging observation, theory and numerical simulation of the ocean using Machine LearningEnvironmental Research Letters (ERL), 2021
Maike Sonnewald
Redouane Lguensat
Daniel C. Jones
P. Dueben
J. Brajard
Venkatramani Balaji
AI4ClAI4CE
355
128
0
26 Apr 2021
Controlled abstention neural networks for identifying skillful
  predictions for classification problems
Controlled abstention neural networks for identifying skillful predictions for classification problemsJournal of Advances in Modeling Earth Systems (JAMES), 2021
E. Barnes
R. Barnes
236
8
0
16 Apr 2021
Controlled abstention neural networks for identifying skillful
  predictions for regression problems
Controlled abstention neural networks for identifying skillful predictions for regression problemsJournal of Advances in Modeling Earth Systems (JAMES), 2021
E. Barnes
R. Barnes
331
30
0
16 Apr 2021
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
Suman V. Ravuri
Karel Lenc
Matthew Willson
D. Kangin
Rémi R. Lam
...
R. Hadsell
Nial H. Robinson
Ellen Clancy
A. Arribas
S. Mohamed
AI4Cl
604
963
0
02 Apr 2021
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