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Modeling weather and climate is an essential endeavor to understand the near- and long-term impacts of climate change, as well as inform technology and policymaking for adaptation and mitigation efforts.
Climate change 2001: Synthesis report: Third assessment report of the Intergovernmental Panel on Climate Change
Robert T Watson and Daniel Lee Albritton · 2001
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REGIONAL CLIMATE RESEARCH: Needs and Opportunities
L. Ruby Leung, Linda O. Mearns, Filippo Giorgi, and Robert L. Wilby · 2003
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Statistical downscaling of climate scenarios over Scandinavia
I Hanssen-Bauer, C Achberger, RE Benestad, D Chen, and EJ Førland · 2005
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Definition, diagnosis, and origin of extreme weather and climate events
David B Stephenson, HF Diaz, and RJ Murnane · 2008
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Climate Change and Climate Modeling
J. David Neelin · 2010
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Resolution effects on regional climate model simulations of seasonal precipitation over Europe
Sara A. Rauscher, Erika Coppola, Claudio Piani, and Filippo Giorgi · 2010
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The quiet revolution of numerical weather prediction
Peter Bauer, Alan Thorpe, and Gilbert Brunet · 2015
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A Deep Hybrid Model for Weather Forecasting
Aditya Grover, Ashish Kapoor, and Eric Horvitz · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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The modelling infrastructure of the Integrated Forecasting System: Recent advances and future challenges
NP Wedi, P Bauer, W Denoninck, M Diamantakis, M Hamrud, C Kuhnlein, S Malardel, K Mogensen, G Mozdzynski, and PK Smolarkiewicz · 2015
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Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization
V. Eyring, S. Bony, G. A. Meehl, C. A. Senior, B. Stevens, R. J. Stouffer, and K. E. Taylor · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Deep networks with stochastic depth
Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, and Kilian Q Weinberger · 2016
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CPMIP: measurements of real computational performance of Earth system models in CMIP6
V. Balaji, E. Maisonnave, N. Zadeh, B. N. Lawrence, J. Biercamp, U. Fladrich, G. Aloisio, R. Benson, A. Caubel, J. Durachta, M.-A. Foujols, G. Lister, S. Mocavero, S. Underwood, and G. Wright · 2017
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xarray: N-d labeled arrays and datasets in python
Stephan Hoyer and Joe Hamman · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Using artificial intelligence to improve real-time decision-making for high-impact weather
Amy McGovern, Kimberly L Elmore, David John Gagne, Sue Ellen Haupt, Christopher D Karstens, Ryan Lagerquist, Travis Smith, and John K Williams · 2017
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ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
Evan Racah, Christopher Beckham, Tegan Maharaj, Samira Ebrahimi Kahou, Mr. Prabhat, and Chris Pal · 2017
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Deepsd: Generating high resolution climate change projections through single image super-resolution
Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew Michaelis, Ramakrishna Nemani, and Auroop R Ganguly · 2017
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Machine Learning for the Geosciences: Challenges and Opportunities
Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela, Hassan Ali Babaie, and Vipin Kumar · 2018
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Deepdownscale: A deep learning strategy for high-resolution weather forecast
Eduardo Rocha Rodrigues, Igor Oliveira, Renato Cunha, and Marco Netto · 2018
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Statistical downscaling of precipitation using machine learning techniques
DA Sachindra, Khandakar Ahmed, Md Mamunur Rashid, S Shahid, and BJC Perera · 2018
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Downscaling of ERA-interim temperature in the contiguous United States and its implications for rain–snow partitioning
Guoqiang Tang, Ali Behrangi, Ziqiang Ma, Di Long, and Yang Hong · 2018
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Climate damages and adaptation potential across diverse sectors of the United States
Jeremy Martinich and Allison Crimmins · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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Intercomparison of machine learning methods for statistical downscaling: the case of daily and extreme precipitation
Thomas Vandal, Evan Kodra, and Auroop R Ganguly · 2019
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Can Machines Learn to Predict Weather? Using Deep Learning to Predict Gridded 500-hPa Geopotential Height From Historical Weather Data
Jonathan A. Weyn, Dale R. Durran, and Rich Caruana · 2019
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Pytorch image models
Ross Wightman · 2019
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Meteorological drought forecasting based on a statistical model with machine learning techniques in Shaanxi province, China
Rong Zhang, Zhao-Yue Chen, Li-Jun Xu, and Chun-Quan Ou · 2019
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Configuration and intercomparison of deep learning neural models for statistical downscaling
J. Baño Medina, R. Manzanas, and J. M. Gutiérrez · 2020
Cited alongside, same era.
The Community Earth System Model Version 2 (CESM2)
G. Danabasoglu, J.-F. Lamarque, J. Bacmeister, D. A. Bailey, A. K. DuVivier, J. Edwards, L. K. Emmons, J. Fasullo, R. Garcia, A. Gettelman, C. Hannay, M. M. Holland, W. G. Large, P. H. Lauritzen, D. M. Lawrence, J. T. M. Lenaerts, K. Lindsay, W. H. Lipscomb, M. J. Mills, R. Neale, K. W. Oleson, B. Otto-Bliesner, A. S. Phillips, W. Sacks, S. Tilmes, L. van Kampenhout, M. Vertenstein, A. Bertini, J. Dennis, C. Deser, C. Fischer, B. Fox-Kemper, J. E. Kay, D. Kinnison, P. J. Kushner, V. E. Larson, M. C. Long, S. Mickelson, J. K. Moore, E. Nienhouse, L. Polvani, P. J. Rasch, and W. G. Strand · 2020
Cited alongside, same era.
Scikit-downscale: an open source python package for scalable climate downscaling
Joseph Hamman and Julia Kent · 2020
Cited alongside, same era.
Array programming with NumPy
Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, Robert Kern, Matti Picus, Stephan Hoyer, Marten H. van Kerkwijk, Matthew Brett, Allan Haldane, Jaime Fernández del Río, Mark Wiebe, Pearu Peterson, Pierre Gérard-Marchant, Kevin Sheppard, Tyler Reddy, Warren Weckesser, Hameer Abbasi, Christoph Gohlke, and Travis E. Oliphant · 2020
Cited alongside, same era.
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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CMIP6-Downscaling
CarbonPlan · 2022
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Earthformer: Exploring space-time transformers for earth system forecasting
Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Bernie Wang, Mu Li, and Dit-Yan Yeung · 2022
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Sagar Garg, Stephan Rasp, and Nils Thuerey · 2022
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Towards multi-spatiotemporal-scale generalized pde modeling
Jayesh K Gupta and Johannes Brandstetter · 2022
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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, Adrian Simmons, Cornel Soci, Saleh Abdalla, Xavier Abellan, Gianpaolo Balsamo, Peter Bechtold, Gionata Biavati, Jean Bidlot, Massimo Bonavita, Giovanna De 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 de Rosnay, Iryna Rozum, Freja Vamborg, Sebastien Villaume, and Jean-Noël Thépaut · 2020
Cited alongside, same era.
Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion
Yumin Liu, Auroop R. Ganguly, and Jennifer Dy · 2020
Cited alongside, same era.
A review of radar-based nowcasting of precipitation and applicable machine learning techniques
Rachel Prudden, Samantha Adams, Dmitry Kangin, Niall Robinson, Suman Ravuri, Shakir Mohamed, and Alberto Arribas · 2020
Cited alongside, same era.
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 · 2020
Cited alongside, same era.
Overview of the norwegian earth system model (noresm2) and key climate response of cmip6 deck, historical, and scenario simulations
Øyvind Seland, Mats Bentsen, Dirk Jan Leo Oliviè, Thomas Toniazzo, Ada Gjermundsen, Lise Seland Graff, Jens Boldingh Debernard, Alok Kumar Gupta, Yan-Chun He, Alf Kirkevåg, et al · 2020
Cited alongside, same era.
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 · 2020
Cited alongside, same era.
Improving Data-Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere
Jonathan A. Weyn, Dale R. Durran, and Rich Caruana · 2020
Cited alongside, same era.
Integrating physics-based modeling with machine learning: A survey
Jared Willard, Xiaowei Jia, Shaoming Xu, Michael Steinbach, and Vipin Kumar · 2020
Cited alongside, same era.
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Deep Learning for Improving Numerical Weather Prediction of Heavy Rainfall
Philipp Hess and Niklas Boers · 2022
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Leakage and the reproducibility crisis in ML-based science
Sayash Kapoor and Arvind Narayanan · 2022
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Forecasting global weather with graph neural networks
Ryan Keisler · 2022
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Graphcast: Learning skillful medium-range global weather forecasting
Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Alexander Pritzel, Suman Ravuri, Timo Ewalds, Ferran Alet, Zach Eaton-Rosen, et al · 2022
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An evaluation of ERA5 precipitation for climate monitoring
David A. Lavers, Adrian Simmons, Freja Vamborg, and Mark J. Rodwell · 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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Adiba Mahbub Proma, Md Saiful Islam, Stela Ciko, Raiyan Abdul Baten, and Ehsan Hoque · 2022
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Pyrocast: a machine learning pipeline to forecast pyrocumulonimbus (pyrocb) clouds
Kenza Tazi, Emiliano Diaz Salas-Porras, Ashwin Braude, Daniel Okoh, Kara D Lamb, Duncan Watson-Parris, Paula Harder, and Nis Meinert · 2022
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ClimateBench v1.0: A Benchmark for Data-Driven Climate Projections
D. Watson-Parris, Y. Rao, D. Olivié, Ø. Seland, P. Nowack, G. Camps-Valls, P. Stier, S. Bouabid, M. Dewey, E. Fons, J. Gonzalez, P. Harder, K. Jeggle, J. Lenhardt, P. Manshausen, M. Novitasari, L. Ricard, and C. Roesch · 2022
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pyESDv1.0.1: An open-source Python framework for empirical-statistical downscaling of climate information
D. Boateng and S. G. Mutz · 2023
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Potential for surprising heat and drought events in wheat-producing regions of USA and China
Erin Coughlan de Perez, Hamsa Ganapathi, Gibbon I. T. Masukwedza, Timothy Griffin, and Timo Kelder · 2023
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Machine Learning for numerical weather and climate modelling: a review
C. O. de Burgh-Day and T. Leeuwenburg · 2023
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About Copernicus
European Commission · 2023
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NASA Earthdata: Open Access for Open Science
NASA · 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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Ccdownscaling: A python package for multivariable statistical climate model downscaling
Andrew D Polasky, Jenni L Evans, and Jose D Fuentes · 2023
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URL https://prism.oregonstate.edu
PRISM Climate Group, Oregon State University, Jun 2023 · 2023
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Changing intensity of hydroclimatic extreme events revealed by GRACE and GRACE-FO
Matthew Rodell and Bailing Li · 2023
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2010-2019: A landmark decade of U.S. billion-dollar weather and climate disasters, Jan 2020
Adam B. Smith · 2023
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Deep learning for twelve hour precipitation forecasts
Lasse Espeholt, Shreya Agrawal, Casper Sønderby, Manoj Kumar, Jonathan Heek, Carla Bromberg, Cenk Gazen, Rob Carver, Marcin Andrychowicz, Jason Hickey, Aaron Bell, and Nal Kalchbrenner · 2041
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Analyzing climate change impacts on health, energy, water resources, and biodiversity sectors for effective climate change policy in South Korea
Tae Hoon Moon, Yeora Chae, Dong-Sung Lee, Dong-Hwan Kim, and Hyun-gyu Kim · 2045
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Machine Learning in Weather Prediction and Climate Analyses—Applications and Perspectives
Bogdan Bochenek and Zbigniew Ustrnul · 2073
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Flood Prediction Using Machine Learning Models: Literature Review
Amir Mosavi, Pinar Ozturk, and Kwok-wing Chau · 2073
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