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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

2 May 2022
Sagar Garg
S. Rasp
Nils Thuerey
ArXiv (abs)PDFHTML

Papers citing "WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models"

5 / 5 papers shown
Title
Do AI models produce better weather forecasts than physics-based models?
  A quantitative evaluation case study of Storm Ciarán
Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán
A. Charlton-Perez
H. Dacre
Simon Driscoll
Suzanne L. Gray
Ben Harvey
...
Kieran M. R. Hunt
Robert W. Lee
Ranjini Swaminathan
R. Vandaele
Ambrogio Volonté
AI4Cl
109
30
0
05 Dec 2023
ClimateLearn: Benchmarking Machine Learning for Weather and Climate
  Modeling
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
Tung Nguyen
Jason Jewik
Hritik Bansal
Prakhar Sharma
Aditya Grover
AI4ClAI4CE
80
33
0
04 Jul 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal
  Forecasting
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
Salva Rühling Cachay
Bo Zhao
Hailey James
Rose Yu
DiffMAI4TS
227
69
0
03 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
113
6
0
06 Apr 2023
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
76
50
0
26 May 2022
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