ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.11927
  4. Cited By
Improving data-driven global weather prediction using deep convolutional
  neural networks on a cubed sphere

Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere

15 March 2020
Jonathan A. Weyn
Dale Durran
R. Caruana
    AI4Cl
ArXivPDFHTML

Papers citing "Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere"

24 / 24 papers shown
Title
Exploring Design Choices for Autoregressive Deep Learning Climate Models
Exploring Design Choices for Autoregressive Deep Learning Climate Models
Florian Gallusser
Simon Hentschel
Anna Krause
Andreas Hotho
AI4Cl
34
0
0
05 May 2025
Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
Yihe Zhang
Bryce Turney
Purushottam Sigdel
Xu Yuan
Eric Rappin
...
Lu Peng
Sercan Aygün
Yazhou Tu
M. H. Najafi
N. Tzeng
67
1
0
11 Dec 2024
Comparing and Contrasting Deep Learning Weather Prediction Backbones on
  Navier-Stokes and Atmospheric Dynamics
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics
Matthias Karlbauer
Danielle C. Maddix
Abdul Fatir Ansari
Boran Han
Gaurav Gupta
Yuyang Wang
Andrew Stuart
Michael W. Mahoney
AI4TS
54
1
0
19 Jul 2024
Decomposing weather forecasting into advection and convection with
  neural networks
Decomposing weather forecasting into advection and convection with neural networks
Mengxuan Chen
Ziqi Yuan
Jinxiao Zhang
Runmin Dong
Haohuan Fu
36
0
0
10 May 2024
A Practical Probabilistic Benchmark for AI Weather Models
A Practical Probabilistic Benchmark for AI Weather Models
Noah D. Brenowitz
Y. Cohen
Jaideep Pathak
Ankur Mahesh
Boris Bonev
Thorsten Kurth
Dale Durran
Peter Harrington
Michael S. Pritchard
34
12
0
27 Jan 2024
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Yuxuan Liang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
35
117
0
16 Oct 2023
Latent assimilation with implicit neural representations for unknown
  dynamics
Latent assimilation with implicit neural representations for unknown dynamics
Zhuoyuan Li
Bin Dong
Pingwen Zhang
AI4CE
22
3
0
18 Sep 2023
Advancing Parsimonious Deep Learning Weather Prediction using the
  HEALPix Mesh
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh
Matthias Karlbauer
Nathaniel Cresswell-Clay
Dale Durran
Raul A Moreno
Thorsten Kurth
Boris Bonev
Noah D. Brenowitz
Martin Volker Butz
MDE
20
18
0
11 Sep 2023
HRTF upsampling with a generative adversarial network using a gnomonic
  equiangular projection
HRTF upsampling with a generative adversarial network using a gnomonic equiangular projection
Aidan O. T. Hogg
Mads Jenkins
Helena E. Liu
Isaac Squires
Samuel J. Cooper
L. Picinali
28
13
0
09 Jun 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
38
5
0
06 Apr 2023
Explaining the physics of transfer learning a data-driven subgrid-scale
  closure to a different turbulent flow
Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow
Adam Subel
Yifei Guan
A. Chattopadhyay
P. Hassanzadeh
AI4CE
27
41
0
07 Jun 2022
SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned
  Distribution Perturbation
SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation
Yuan Hu
Lei Chen
Zhibin Wang
Hao Li
OOD
21
47
0
26 May 2022
Long-term stability and generalization of observationally-constrained
  stochastic data-driven models for geophysical turbulence
Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence
A. Chattopadhyay
Jaideep Pathak
Ebrahim Nabizadeh
W. Bhimji
P. Hassanzadeh
BDL
13
7
0
09 May 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed
  Machine Learning
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
Chuizheng Meng
Sungyong Seo
Defu Cao
Sam Griesemer
Yan Liu
PINN
AI4CE
34
55
0
31 Mar 2022
FourCastNet: A Global Data-driven High-resolution Weather Model using
  Adaptive Fourier Neural Operators
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
Jaideep Pathak
Shashank Subramanian
P. Harrington
S. Raja
A. Chattopadhyay
...
Zong-Yi Li
Kamyar Azizzadenesheli
P. Hassanzadeh
K. Kashinath
Anima Anandkumar
AI4Cl
46
655
0
22 Feb 2022
Forecasting Global Weather with Graph Neural Networks
Forecasting Global Weather with Graph Neural Networks
R. Keisler
AI4Cl
30
165
0
15 Feb 2022
What's Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D
  Scene Reconstruction
What's Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D Scene Reconstruction
Nilesh Kulkarni
Justin Johnson
David Fouhey
3DV
25
7
0
08 Dec 2021
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge
  Independent Projected Kernels
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
M. Hutchinson
Alexander Terenin
Viacheslav Borovitskiy
So Takao
Yee Whye Teh
M. Deisenroth
14
20
0
27 Oct 2021
Quantum Artificial Intelligence for the Science of Climate Change
Quantum Artificial Intelligence for the Science of Climate Change
Manmeet Singh
C. Dhara
Adarsh Kumar
S. Gill
Steve Uhlig
AI4CE
14
15
0
28 Jul 2021
Bridging observation, theory and numerical simulation of the ocean using
  Machine Learning
Bridging observation, theory and numerical simulation of the ocean using Machine Learning
Maike Sonnewald
Redouane Lguensat
Daniel C. Jones
P. Dueben
J. Brajard
Venkatramani Balaji
AI4Cl
AI4CE
40
100
0
26 Apr 2021
EarthNet2021: A large-scale dataset and challenge for Earth surface
  forecasting as a guided video prediction task
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task
C. Requena-Mesa
V. Benson
Markus Reichstein
J. Runge
Joachim Denzler
68
50
0
16 Apr 2021
Towards physically consistent data-driven weather forecasting:
  Integrating data assimilation with equivariance-preserving deep spatial
  transformers
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers
A. Chattopadhyay
M. Mustafa
P. Hassanzadeh
Eviatar Bach
K. Kashinath
AI4CE
16
25
0
16 Mar 2021
Data-driven geophysical forecasting: Simple, low-cost, and accurate
  baselines with kernel methods
Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methods
B. Hamzi
R. Maulik
H. Owhadi
AI4TS
9
28
0
13 Feb 2021
A generative adversarial network approach to (ensemble) weather
  prediction
A generative adversarial network approach to (ensemble) weather prediction
Alexander Bihlo
AI4Cl
15
77
0
13 Jun 2020
1