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Analog forecasting of extreme-causing weather patterns using deep learning

Journal of Advances in Modeling Earth Systems (JAMES), 2019

26 July 2019

Papers citing "Analog forecasting of extreme-causing weather patterns using deep learning"

36 / 36 papers shown

Title
Uncertainty propagation in feed-forward neural network modelsNeural Networks (NN), 2025 Jeremy Diamzon Daniele Venturi 316 0 0 27 Mar 2025
Analogue Forecast System for Daily Precipitation Prediction Using Autoencoder Feature Extraction: Application in Hong Kong Yee Chun Tsoi Yu Ting Kwok Ming Chun Lam Wai Kin Wong 120 0 0 06 Jan 2025
Advancing Heatwave Forecasting via Distribution Informed-Graph Neural Networks (DI-GNNs): Integrating Extreme Value Theory with GNNs Farrukh A. Chishtie Dominique Brunet Rachel H. White Daniel Michelson Jing Jiang ... Timothy Chui Rana Usman Ali Mujtaba Hassan Roland Stull David Hudak 190 1 0 20 Nov 2024
When are dynamical systems learned from time series data statistically accurate?Neural Information Processing Systems (NeurIPS), 2024 Jeongjin Park Nicole Yang Nisha Chandramoorthy AI4TS 188 7 0 09 Nov 2024
Can AI weather models predict out-of-distribution gray swan tropical cyclones?Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2024 Y. Qiang Sun Pedram Hassanzadeh Mohsen Zand Ashesh Chattopadhyay Jonathan Weare D. Abbot 420 21 0 19 Oct 2024
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme HeatwavesArtificial Intelligence for the Earth Systems (AI4ES), 2024 Alessandro Lovo Amaury Lancelin Corentin Herbert Freddy Bouchet AI4CE 336 1 0 01 Oct 2024
DUNE: A Machine Learning Deep UNet++ based Ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting Pratik Shukla Milton Halem AI4Cl AI4CE 132 2 0 12 Aug 2024
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges Gustau Camps-Valls Miguel-Ángel Fernández-Torres Kai-Hendrik Cohrs Adrian Höhl A. Castelletti ... S. Salcedo-Sanz S. Sippel Spyros Kondylatos Tamara Happé T. Williams 141 4 0 28 Jun 2024
Using Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO Forecasts Kinya Toride Matthew Newman Andrew Hoell A. Capotondi Jakob Schlör Dillon Amaya 206 3 0 23 Apr 2024
Harnessing Artificial Intelligence for Sustainable Agricultural Development in Africa: Opportunities, Challenges, and Impact Kinyua Gikunda 49 14 0 03 Jan 2024
OceanNet: A principled neural operator-based digital twin for regional oceansScientific Reports (Sci Rep), 2023 Ashesh Chattopadhyay Michael Gray Tianning Wu Anna B. Lowe Ruoying He AI4Cl 171 24 0 01 Oct 2023
Deep Learning Techniques in Extreme Weather Events: A Review Shikha Verma K. Srivastava Akhilesh Tiwari Shekhar Verma AI4Cl 82 10 0 18 Aug 2023
Extreme heatwave sampling and prediction with analog Markov chain and comparisons with deep learningEnvironmental Data Science (EDS), 2023 G. Miloshevich D. Lucente P. Yiou F. Bouchet BDL 170 12 0 18 Jul 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 223 7 0 06 Apr 2023
Inexact iterative numerical linear algebra for neural network-based spectral estimation and rare-event predictionJournal of Chemical Physics (JCP), 2023 J. Strahan Spencer C. Guo Chatipat Lorpaiboon Aaron R Dinner Jonathan Weare 215 11 0 22 Mar 2023
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological DataInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Shen Chen Guodong Long Tao Shen Jing Jiang AI4TS 235 46 0 22 Jan 2023
Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques D. Fister Jorge Pérez-Aracil César Peláez-Rodríguez Javier Del Ser S. Salcedo-Sanz 129 2 0 29 Sep 2022
Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of dataPhysical Review Fluids (PRFluids), 2022 G. Miloshevich Bastien Cozian P. Abry Pierre Borgnat F. Bouchet AI4CE 180 35 0 01 Aug 2022
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review S. Salcedo-Sanz Jorge Pérez-Aracil G. Ascenso Javier Del Ser D. Casillas-Pérez ... D. Barriopedro R. García-Herrera Marcello Restelli M. Giuliani A. Castelletti AI4Cl 150 13 0 03 Jun 2022
Global Extreme Heat Forecasting Using Neural Weather ModelsArtificial Intelligence for the Earth Systems (AIES), 2022 I. Lopez‐Gomez A. McGovern Shreya Agrawal Jason Hickey AI4Cl 236 44 0 23 May 2022
Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulenceEnvironmental Data Science (EDS), 2022 Ashesh Chattopadhyay Jaideep Pathak Ebrahim Nabizadeh W. Bhimji Pedram Hassanzadeh BDL 131 8 0 09 May 2022
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators Jaideep Pathak Shashank Subramanian P. Harrington S. Raja Ashesh Chattopadhyay ... Zong-Yi Li Kamyar Azizzadenesheli Pedram Hassanzadeh K. Kashinath Anima Anandkumar AI4Cl 462 908 0 22 Feb 2022
Extreme precipitation forecasting using attention augmented convolutions Weichen Huang 71 2 0 31 Jan 2022
Model-assisted deep learning of rare extreme events from partial observationsChaos (Chaos), 2021 Anna Asch Ethan Brady Hugo Gallardo John Hood Bryan Chu M. Farazmand 194 13 0 04 Nov 2021
Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto-Sivashinsky test case R. Mojgani Ashesh Chattopadhyay Pedram Hassanzadeh 157 18 0 01 Oct 2021
Deep Learning-based Extreme Heatwave ForecastFrontiers in Climate (FC), 2021 Valérian Jacques-Dumas Francesco Ragone Pierre Borgnat P. Abry F. Bouchet AI4CE 126 61 0 17 Mar 2021
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers Ashesh Chattopadhyay M. Mustafa Pedram Hassanzadeh Eviatar Bach K. Kashinath AI4CE 140 45 0 16 Mar 2021
Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methodsProceedings of the Royal Society A (Proc. R. Soc. A), 2021 B. Hamzi R. Maulik H. Owhadi AI4TS 177 30 0 13 Feb 2021
Meta-modeling strategy for data-driven forecasting Dominic J. Skinner R. Maulik 91 3 0 14 Nov 2020
Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation R. Maulik T. Botsas Nesar Ramachandra L. Mason Indranil Pan 113 33 0 23 Jul 2020
Complex Sequential Data Analysis: A Systematic Literature Review of Existing Algorithms Kudakwashe Dandajena I. Venter Mehrdad Ghaziasgar Reg Dodds AI4TS 120 2 0 22 Jul 2020
Non-parametric estimation of Stochastic Differential Equations from stationary time-seriesJournal of statistical physics (J. Stat. Phys.), 2020 Xi Chen Ilya Timofeyev 139 5 0 16 Jul 2020
Kernel Analog Forecasting: Multiscale Test Problems Dmitry Burov D. Giannakis Krithika Manohar Andrew M. Stuart 125 22 0 13 May 2020
Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphereJournal of Advances in Modeling Earth Systems (JAMES), 2020 Jonathan A. Weyn Dale Durran R. Caruana AI4Cl 94 302 0 15 Mar 2020
Data-driven super-parameterization using deep learning: Experimentation with multi-scale Lorenz 96 systems and transfer-learningJournal of Advances in Modeling Earth Systems (JAMES), 2020 Ashesh Chattopadhyay Adam Subel Pedram Hassanzadeh BDL AI4CE 127 60 0 25 Feb 2020
A test case for application of convolutional neural networks to spatio-temporal climate data: Re-identifying clustered weather patterns Ashesh Chattopadhyay Pedram Hassanzadeh S. Pasha 122 149 0 12 Nov 2018