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WeatherBench: A benchmark dataset for data-driven weather forecasting

WeatherBench: A benchmark dataset for data-driven weather forecasting

2 February 2020
S. Rasp
P. Dueben
S. Scher
Jonathan A. Weyn
Soukayna Mouatadid
Nils Thuerey
    AI4Cl
    AI4TS
ArXivPDFHTML

Papers citing "WeatherBench: A benchmark dataset for data-driven weather forecasting"

20 / 70 papers shown
Title
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
42
57
0
31 Mar 2022
A Bayesian Deep Learning Approach to Near-Term Climate Prediction
A Bayesian Deep Learning Approach to Near-Term Climate Prediction
Xihaier Luo
B. Nadiga
Yihui Ren
Ji Hwan Park
Wei Xu
Shinjae Yoo
BDL
AI4CE
14
10
0
23 Feb 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
48
657
0
22 Feb 2022
Forecasting Global Weather with Graph Neural Networks
Forecasting Global Weather with Graph Neural Networks
R. Keisler
AI4Cl
33
166
0
15 Feb 2022
AtmoDist: Self-supervised Representation Learning for Atmospheric
  Dynamics
AtmoDist: Self-supervised Representation Learning for Atmospheric Dynamics
Sebastian Hoffmann
C. Lessig
AI4Cl
24
8
0
02 Feb 2022
Probabilistic Forecasting with Generative Networks via Scoring Rule
  Minimization
Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization
Lorenzo Pacchiardi
Rilwan A. Adewoyin
P. Dueben
Ritabrata Dutta
AI4TS
22
21
0
15 Dec 2021
NeuralPDE: Modelling Dynamical Systems from Data
NeuralPDE: Modelling Dynamical Systems from Data
Andrzej Dulny
Andreas Hotho
Anna Krause
AI4CE
24
11
0
15 Nov 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
28
20
0
27 Oct 2021
Scientific Machine Learning Benchmarks
Scientific Machine Learning Benchmarks
Jeyan Thiyagalingam
Mallikarjun Shankar
Geoffrey C. Fox
Tony (Anthony) John Grenville Hey
18
109
0
25 Oct 2021
IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and
  Quantitative Precipitation Estimation
IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation
M. Sit
B. Seo
Ibrahim Demir
16
27
0
07 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Rui Wang
Rose Yu
AI4CE
PINN
39
65
0
02 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
43
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
Combining distribution-based neural networks to predict weather forecast
  probabilities
Combining distribution-based neural networks to predict weather forecast probabilities
M. Clare
Omar Jamil
C. Morcrette
UQCV
19
41
0
26 Mar 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
Conditional Local Convolution for Spatio-temporal Meteorological
  Forecasting
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting
Haitao Lin
Zhangyang Gao
Yongjie Xu
Lirong Wu
Ling Li
Stan. Z. Li
AI4TS
127
72
0
04 Jan 2021
Complex Sequential Data Analysis: A Systematic Literature Review of
  Existing Algorithms
Complex Sequential Data Analysis: A Systematic Literature Review of Existing Algorithms
Kudakwashe Dandajena
I. Venter
Mehrdad Ghaziasgar
Reg Dodds
AI4TS
21
2
0
22 Jul 2020
Deep Learning for Post-Processing Ensemble Weather Forecasts
Deep Learning for Post-Processing Ensemble Weather Forecasts
Peter Grönquist
Chengyuan Yao
Tal Ben-Nun
Nikoli Dryden
P. Dueben
Shigang Li
Torsten Hoefler
17
165
0
18 May 2020
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
Jonathan A. Weyn
Dale Durran
R. Caruana
AI4Cl
29
256
0
15 Mar 2020
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,904
0
13 Jun 2015
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