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

2 May 2022

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

6 / 6 papers shown

Title
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 22 29 0 05 Dec 2023
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 33 4 0 06 Apr 2023
Workload Forecasting of a Logistic Node Using Bayesian Neural Networks Emin Cagatay Nakilcioglu Anisa Rizvanolli 6 1 0 09 Nov 2022
SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation Yuan Hu Lei Chen Zhibin Wang Hao Li OOD 21 45 0 26 May 2022
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 214 272 0 24 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015