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This paper provides an outlook on the future of operational weather prediction given the recent evolution in science, computing and machine learning.
An overview of the results of the atmospheric model intercomparison project (amip i)
W Lawrence Gates, James S Boyle, Curt Covey, Clyde G Dease, Charles M Doutriaux, Robert S Drach, Michael Fiorino, Peter J Gleckler, Justin J Hnilo, Susan M Marlais, et al · 1999
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The linpack benchmark: past, present and future
Jack J Dongarra, Piotr Luszczek, and Antoine Petitet · 2003
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Increasing horizontal resolution in numerical weather prediction and climate simulations: illusion or panacea?
Nils P Wedi · 2014
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The quiet revolution of numerical weather prediction
Peter Bauer, Alan Thorpe, and Gilbert Brunet · 2015
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A comparison of the regional arctic system reanalysis and the global era-interim reanalysis for the arctic
David H Bromwich, Aaron B Wilson, Le-Sheng Bai, George WK Moore, and Peter Bauer · 2016
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Position paper on high performance computing needs in earth system prediction. national earth system prediction capability
Jessie Carman, Thomas Clune, Francis Giraldo, M Govett, Brian Gross, A Kamrathe, Tsengdar Lee, David McCarren, John Michalakes, Scott Sandgathe, et al · 2017
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Data assimilation in the geosciences: An overview of methods, issues, and perspectives
Alberto Carrassi, Marc Bocquet, Laurent Bertino, and Geir Evensen · 2018
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Challenges and design choices for global weather and climate models based on machine learning
Peter D Dueben and Peter Bauer · 2018
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Crossing the chasm: how to develop weather and climate models for next generation computers?
Bryan N Lawrence, Michael Rezny, Reinhard Budich, Peter Bauer, Jörg Behrens, Mick Carter, Willem Deconinck, Rupert Ford, Christopher Maynard, Steven Mullerworth, et al · 2018
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Reflecting on the goal and baseline for exascale computing: a roadmap based on weather and climate simulations
Thomas C Schulthess, Peter Bauer, Nils Wedi, Oliver Fuhrer, Torsten Hoefler, and Christoph Schär · 2018
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The escape project: energy-efficient scalable algorithms for weather prediction at exascale
Andreas Müller, Willem Deconinck, Christian Kühnlein, Gianmarco Mengaldo, Michael Lange, Nils Wedi, Peter Bauer, Piotr K Smolarkiewicz, Michail Diamantakis, Sarah-Jane Lock, et al · 2019
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The scientific challenge of understanding and estimating climate change
Tim Palmer and Bjorn Stevens · 2019
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Running ecmwf workflow on the nextgenio prototype, 2019
Tiago Quintino and Simon Smart · 2019
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Dyamond: the dynamics of the atmospheric general circulation modeled on non-hydrostatic domains
Bjorn Stevens, Masaki Satoh, Ludovic Auger, Joachim Biercamp, Christopher S Bretherton, Xi Chen, Peter Düben, Falko Judt, Marat Khairoutdinov, Daniel Klocke, et al · 2019
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Machine learning for model error inference and correction
Massimo Bonavita and Patrick Laloyaux · 2020
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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, et al · 2020
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Hpc for weather forecasting
John Michalakes · 2020
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A vision for numerical weather prediction in 2030
Tim Palmer · 2020
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The future of computing beyond moore’s law
John Shalf · 2020
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A baseline for global weather and climate simulations at 1 km resolution
Nils P Wedi, Inna Polichtchouk, Peter Dueben, Valentine G Anantharaj, Peter Bauer, Souhail Boussetta, Philip Browne, Willem Deconinck, Wayne Gaudin, Ioan Hadade, et al · 2020
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The digital revolution of earth-system science
Peter Bauer, Peter D Dueben, Torsten Hoefler, Tiago Quintino, Thomas C Schulthess, and Nils P Wedi · 2021
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Learning earth system models from observations: machine learning or data assimilation?
Alan J Geer · 2021
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Behind the met office’s procurement of a billion-dollar microsoft system, 2021
HPCWire · 2021
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Systematically migrating an operational microphysics parameterisation to fpga technology
James Stanley Targett, Wayne Luk, Michael Lange, and Olivier Marsden · 2021
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Pangu-weather: A 3d high-resolution model for fast and accurate global weather forecast
Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, and Qi Tian · 2022
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A generative deep learning approach to stochastic downscaling of precipitation forecasts
Lucy Harris, Andrew TT McRae, Matthew Chantry, Peter D Dueben, and Tim N Palmer · 2022
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Atmorep: A stochastic model of atmosphere dynamics using large scale representation learning
Christian Lessig, Ilaria Luise, Bing Gong, Michael Langguth, Scarlet Stadler, and Martin Schultz · 2023
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Climax: A foundation model for weather and climate
Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K Gupta, and Aditya Grover · 2023
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Gencast: Diffusion-based ensemble forecasting for medium-range weather
Ilan Price, Alvaro Sanchez-Gonzalez, Ferran Alet, Timo Ewalds, Andrew El-Kadi, Jacklynn Stott, Shakir Mohamed, Peter Battaglia, Remi Lam, and Matthew Willson · 2023
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Earth virtualization engines (eve)
Bjorn Stevens, Stefan Adami, Tariq Ali, Hartwig Anzt, Zafer Aslan, Sabine Attinger, Jaana Bäck, Johanna Baehr, Peter Bauer, Natacha Bernier, et al · 2023
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The small scales of the ocean may hold the key to surprises
Helene Hewitt, Baylor Fox-Kemper, Brodie Pearson, Malcolm Roberts, and Daniel Klocke · 2022
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Deep learning to estimate model biases in an operational nwp assimilation system
Patrick Laloyaux, Thorsten Kurth, Peter Dominik Dueben, and David Hall · 2022
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Graphcast: Learning skillful medium-range global weather forecasting
Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Ferran Alet, Suman Ravuri, Timo Ewalds, Zach Eaton-Rosen, Weihua Hu, et al · 2022
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Why we need to focus on developing ethical, responsible, and trustworthy artificial intelligence approaches for environmental science
Amy McGovern, Imme Ebert-Uphoff, David John Gagne, and Ann Bostrom · 2022
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Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, et al · 2022
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Delayed antarctic sea-ice decline in high-resolution climate change simulations
Thomas Rackow, Sergey Danilov, Helge F Goessling, Hartmut H Hellmer, Dmitry V Sein, Tido Semmler, Dmitry Sidorenko, and Thomas Jung · 2022
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Versatile software-defined hpc and cloud clusters on alps supercomputer for diverse workflows
Sadaf R Alam, Miguel Gila, Mark Klein, Maxime Martinasso, and Thomas C Schulthess · 2023
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The rise of data-driven weather forecasting: A first statistical assessment of machine learning-based weather forecasts in an operational-like context
Zied Ben Bouallègue, Mariana C A Clare, Linus Magnusson, Estibaliz Gascón, Michael Maier-Gerber, Martin Janoušek, Mark Rodwell, Florian Pinault, Jesper S Dramsch, Simon T K Lang, Baudouin Raoult, Florence Rabier, Matthieu Chevallier, Irina Sandu, Peter Dueben, Matthew Chantry, and Florian Pappenberger · 2024
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The copernicus climate data store, 2024
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Exascale computing and data handling: Challenges and opportunities for weather and climate prediction
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Aifs-ecmwf’s data-driven forecasting system
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Probabilistic forecasting with generative networks via scoring rule minimization
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High resolution model intercomparison project phase 2 (highresmip2) towards cmip7
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