Fetching the paper…
Reading the bibliography…
WeatherBench is a benchmark dataset for medium-range weather forecasting of geopotential, temperature and precipitation, consisting of preprocessed data, predefined evaluation metrics and a number of baseline models.
Tilmann Gneiting and Eva-Maria Walz · 1912
Earlier work this paper cites.
WeatherBench: A Benchmark Data Set for Data-Driven Weather Forecasting
Stephan Rasp, Peter D. Dueben, Sebastian Scher, Jonathan A. Weyn, Soukayna Mouatadid, and Nils Thuerey · 1942
Earlier work this paper cites.
Improving Data-Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere
Jonathan A. Weyn, Dale R. Durran, and Rich Caruana · 1942
Earlier work this paper cites.
Sub-Seasonal Forecasting With a Large Ensemble of Deep-Learning Weather Prediction Models
Jonathan A. Weyn, Dale R. Durran, Rich Caruana, and Nathaniel Cresswell-Clay · 1942
Earlier work this paper cites.
Ensemble neural network forecasts with singular value decomposition
Sebastian Scher and Gabriele Messori · 2002
Earlier work this paper cites.
MetNet: A Neural Weather Model for Precipitation Forecasting
Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek, Mostafa Dehghani, Avital Oliver, Tim Salimans, Shreya Agrawal, Jason Hickey, and Nal Kalchbrenner · 2003
Earlier work this paper cites.
Statistical Methods in the Atmospheric Sciences
Daniel S Wilks · 2006
Earlier work this paper cites.
The THORPEX Interactive Grand Global Ensemble
Philippe Bougeault, Zoltan Toth, Craig Bishop, Barbara Brown, David Burridge, De Hui Chen, Beth Ebert, Manuel Fuentes, Thomas M. Hamill, Ken Mylne, Jean Nicolau, Tiziana Paccagnella, Young-Youn Park, David Parsons, Baudouin Raoult, Doug Schuster, Pedro Silva Dias, Richard Swinbank, Yoshiaki Takeuchi, Warren Tennant, Laurence Wilson, and Steve Worley · 2010
Earlier work this paper cites.
Why Should Ensemble Spread Match the RMSE of the Ensemble Mean?
V. Fortin, M. Abaza, F. Anctil, and R. Turcotte · 2014
Cited alongside, same era.
Dropout: A Simple Way to Prevent Neural Networks from Overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
Cited alongside, same era.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Cited alongside, same era.
The quiet revolution of numerical weather prediction
Peter Bauer, Alan Thorpe, and Gilbert Brunet · 2015
Cited alongside, same era.
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Yarin Gal and Zoubin Ghahramani · 2015
Cited alongside, same era.
Neural Networks for Postprocessing Ensemble Weather Forecasts
A computationally efficient neural network for predicting weather forecast probabilities
Mariana Clare, Omar Jamil, and Cyril Morcrette · 2021
Later among the works it cites.
Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks
Lasse Espeholt, Shreya Agrawal, Casper Sønderby, Manoj Kumar, Jonathan Heek, Carla Bromberg, Cenk Gazen, Jason Hickey, Aaron Bell, and Nal Kalchbrenner · 2021
Later among the works it cites.
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
Suman Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Remi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall Robinson, Ellen Clancy, Alberto Arribas, and Shakir Mohamed · 2021
Later among the works it cites.
Forecasting Global Weather with Graph Neural Networks
Ryan Keisler · 2022
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Stephan Rasp and Sebastian Lerch · 2018
Cited alongside, same era.
The ERA5 Global Reanalysis
Hans Hersbach, Bill Bell, Paul Berrisford, Shoji Hirahara, András Horányi, Joaquín Muñoz-Sabater, Julien Nicolas, Carole Peubey, Raluca Radu, Dinand Schepers, Adrian Simmons, Cornel Soci, Saleh Abdalla, Xavier Abellan, Gianpaolo Balsamo, Peter Bechtold, Gionata Biavati, Jean Bidlot, Massimo Bonavita, Giovanna Chiara, Per Dahlgren, Dick Dee, Michail Diamantakis, Rossana Dragani, Johannes Flemming, Richard Forbes, Manuel Fuentes, Alan Geer, Leo Haimberger, Sean Healy, Robin J. Hogan, Elías Hólm, Marta Janisková, Sarah Keeley, Patrick Laloyaux, Philippe Lopez, Cristina Lupu, Gabor Radnoti, Patricia Rosnay, Iryna Rozum, Freja Vamborg, Sebastien Villaume, and Jean-Noël Thépaut · 2020
Cited alongside, same era.
Data-Driven Medium-Range Weather Prediction With a Resnet Pretrained on Climate Simulations: A New Model for WeatherBench
Stephan Rasp and Nils Thuerey · 2021
Cited alongside, same era.
Probabilistic quantitative precipitation forecasting using Ensemble Model Output Statistics
M. Scheuerer
Cited in the paper.
Probabilistic quantitative precipitation forecasting using Ensemble Model Output Statistics
M. Scheuerer
Cited in the paper.
TIGGE data for WeatherBench Probability
Stephan Rasp · 2022
Closest in time.
Increasing the accuracy and resolution of precipitation forecasts using deep generative models
Ilan Price and Stephan Rasp · 2022
Closest in time.
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts
Lucy Harris, Andrew T. T. McRae, Matthew Chantry, Peter D. Dueben, and Tim N. Palmer · 2022
Closest in time.