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Fourier Neural Operators for Arbitrary Resolution Climate Data
  Downscaling

Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling

23 May 2023
Qidong Yang
Alex Hernandez-Garcia
P. Harder
Venkatesh Ramesh
Prasanna Sattegeri
Daniela Szwarcman
C. Watson
David Rolnick
    AI4CE
ArXivPDFHTML

Papers citing "Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling"

12 / 12 papers shown
Title
Weakly-Constrained 4D Var for Downscaling with Uncertainty using Data-Driven Surrogate Models
Philip Dinenis
Vishwas Rao
Mihai Anitescu
73
0
0
04 Mar 2025
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
29
3
0
17 Jul 2024
Climate Variable Downscaling with Conditional Normalizing Flows
Climate Variable Downscaling with Conditional Normalizing Flows
Christina Winkler
P. Harder
David Rolnick
AI4Cl
20
5
0
31 May 2024
Hierarchical Neural Operator Transformer with Learnable Frequency-aware
  Loss Prior for Arbitrary-scale Super-resolution
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
Xihaier Luo
Xiaoning Qian
Byung-Jun Yoon
42
3
0
20 May 2024
Generative Diffusion-based Downscaling for Climate
Generative Diffusion-based Downscaling for Climate
Robbie A. Watt
Laura A. Mansfield
DiffM
35
3
0
27 Apr 2024
Masked Autoencoders are PDE Learners
Masked Autoencoders are PDE Learners
Anthony Y. Zhou
A. Farimani
AI4CE
38
6
0
26 Mar 2024
Application-Driven Innovation in Machine Learning
Application-Driven Innovation in Machine Learning
David Rolnick
Alán Aspuru-Guzik
Sara Beery
B. Dilkina
P. Donti
...
Hannah Kerner
C. Monteleoni
Esther Rolf
Milind Tambe
Adam White
41
8
0
26 Mar 2024
Knowledge-guided Machine Learning: Current Trends and Future Prospects
Knowledge-guided Machine Learning: Current Trends and Future Prospects
Anuj Karpatne
X. Jia
Vipin Kumar
50
10
0
24 Mar 2024
Multi-modal Representation Learning for Cross-modal Prediction of
  Continuous Weather Patterns from Discrete Low-Dimensional Data
Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data
Alif Bin Abdul Qayyum
Xihaier Luo
Nathan M. Urban
Xiaoning Qian
Byung-Jun Yoon
36
0
0
30 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
50
3
0
11 Dec 2023
AI Foundation Models for Weather and Climate: Applications, Design, and
  Implementation
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
32
18
0
19 Sep 2023
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
238
2,298
0
18 Oct 2020
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