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Increasing the accuracy and resolution of precipitation forecasts using
  deep generative models

Increasing the accuracy and resolution of precipitation forecasts using deep generative models

23 March 2022
Ilan Price
S. Rasp
    AI4Cl
ArXivPDFHTML

Papers citing "Increasing the accuracy and resolution of precipitation forecasts using deep generative models"

23 / 23 papers shown
Title
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 Models
P. Hess
Markus Drüke
S. Petri
Felix M. Strnad
Niklas Boers
33
60
0
03 Jan 2025
Global spatio-temporal downscaling of ERA5 precipitation through
  generative AI
Global spatio-temporal downscaling of ERA5 precipitation through generative AI
Luca Glawion
Julius Polz
Harald Kunstmann
Benjamin Fersch
Christian Chwala
AI4Cl
106
0
0
22 Nov 2024
Are Deep Learning Methods Suitable for Downscaling Global Climate
  Projections? Review and Intercomparison of Existing Models
Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? Review and Intercomparison of Existing Models
Jose González-Abad
José Manuel Gutiérrez
AI4Cl
28
0
0
06 Nov 2024
A Likelihood-Based Generative Approach for Spatially Consistent
  Precipitation Downscaling
A Likelihood-Based Generative Approach for Spatially Consistent Precipitation Downscaling
Jose González-Abad
41
0
0
26 Jun 2024
Generative Diffusion-based Downscaling for Climate
Generative Diffusion-based Downscaling for Climate
Robbie A. Watt
Laura A. Mansfield
DiffM
28
3
0
27 Apr 2024
SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion Model
SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion Model
Xudong Ling
Chaorong Li
Fengqing Qin
Peng Yang
Yuanyuan Huang
DiffM
AI4Cl
33
5
0
21 Feb 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
29
3
0
11 Dec 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
25
18
0
13 Aug 2023
Generative convective parametrization of dry atmospheric boundary layer
Generative convective parametrization of dry atmospheric boundary layer
F. Heyder
J. Mellado
Jörg Schumacher
18
3
0
27 Jul 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through
  Optimal Transport and Probabilistic Diffusion Models
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
Z. Y. Wan
Ricardo Baptista
Yi-fan Chen
John R. Anderson
Anudhyan Boral
Fei Sha
Leonardo Zepeda-Núnez
DiffM
34
23
0
24 May 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
18
21
0
23 May 2023
Unpaired Downscaling of Fluid Flows with Diffusion Bridges
Unpaired Downscaling of Fluid Flows with Diffusion Bridges
Tobias Bischoff
Katherine Deck
21
14
0
02 May 2023
Deep Ensembles to Improve Uncertainty Quantification of Statistical
  Downscaling Models under Climate Change Conditions
Deep Ensembles to Improve Uncertainty Quantification of Statistical Downscaling Models under Climate Change Conditions
Jose González-Abad
Jorge Baño-Medina
UQCV
16
0
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
18
51
0
25 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
31
4
0
06 Apr 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 Scales
Nicolaas J. Annau
Alex J. Cannon
A. Monahan
16
14
0
17 Feb 2023
Deep learning for bias-correcting CMIP6-class Earth system models
Deep learning for bias-correcting CMIP6-class Earth system models
P. Hess
S. Lange
Christof Schötz
Niklas Boers
AI4Cl
17
10
0
16 Dec 2022
Exploring Randomly Wired Neural Networks for Climate Model Emulation
Exploring Randomly Wired Neural Networks for Climate Model Emulation
William Yik
Sam J. Silva
A. Geiss
D. Watson‐Parris
26
3
0
06 Dec 2022
Generative Modeling of High-resolution Global Precipitation Forecasts
Generative Modeling of High-resolution Global Precipitation Forecasts
James Duncan
Shashank Subramanian
P. Harrington
AI4Cl
20
5
0
22 Oct 2022
Generative machine learning methods for multivariate ensemble
  post-processing
Generative machine learning methods for multivariate ensemble post-processing
Jieyu Chen
Tim Janke
Florian Steinke
Sebastian Lerch
22
24
0
26 Sep 2022
WeatherBench Probability: A benchmark dataset for probabilistic
  medium-range weather forecasting along with deep learning baseline models
WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models
Sagar Garg
S. Rasp
Nils Thuerey
11
22
0
02 May 2022
A Generative Deep Learning Approach to Stochastic Downscaling of
  Precipitation Forecasts
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts
L. Harris
Andrew T. T. McRae
Matthew Chantry
P. Dueben
T. Palmer
19
103
0
05 Apr 2022
MetNet: A Neural Weather Model for Precipitation Forecasting
MetNet: A Neural Weather Model for Precipitation Forecasting
C. Sønderby
L. Espeholt
Jonathan Heek
Mostafa Dehghani
Avital Oliver
Tim Salimans
Shreya Agrawal
Jason Hickey
Nal Kalchbrenner
AI4Cl
214
268
0
24 Mar 2020
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