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Deep learning to represent sub-grid processes in climate models

12 June 2018

Papers citing "Deep learning to represent sub-grid processes in climate models"

50 / 152 papers shown

Title
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific SystemsWater Resources Research (WRR), 2023 Yuan-Heng Wang Hoshin V. Gupta AI4CE 266 12 0 12 Oct 2023
Learning to Predict Structural VibrationsNeural Information Processing Systems (NeurIPS), 2023 J. V. Delden Julius Schultz Christopher Blech Sabine C. Langer Timo Luddecke AI4CE 155 3 0 09 Oct 2023
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation S. K. Mukkavilli Daniel Salles Civitarese J. Schmude Johannes Jakubik Anne Jones ... R. Ganti Hendrik Hamann U. Nair Rahul Ramachandran Kommy Weldemariam AI4Cl AI4CE 145 24 0 19 Sep 2023
Multi-fidelity climate model parameterization for better generalization and extrapolation Mohamed Aziz Bhouri Liran Peng Michael S. Pritchard Pierre Gentine AI4CE 164 6 0 19 Sep 2023
TCGAN: Convolutional Generative Adversarial Network for Time Series Classification and ClusteringData mining and knowledge discovery (DMKD), 2023 F. Huang Yangdong Deng GAN AI4TS 136 1 0 09 Sep 2023
Neuro-Symbolic Bi-Directional Translation -- Deep Learning Explainability for Climate Tipping Point Research C. Ashcraft Jennifer Sleeman Caroline Tang Jay Brett A. Gnanadesikan 115 2 0 19 Jun 2023
Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and ChallengesJournal of Advances in Modeling Earth Systems (JAMES), 2023 Karan Jakhar Yifei Guan R. Mojgani Ashesh Chattopadhyay Pedram Hassanzadeh AI4Cl AI4CE 296 20 0 08 Jun 2023
Gemtelligence: Accelerating Gemstone classification with Deep LearningCommunications Engineer (CE), 2023 Tommaso Bendinelli Luca Biggio D. Nyfeler Abhigyan Ghosh P. Tollan M. Kirschmann Olga Fink 92 6 0 31 May 2023
DiffESM: Conditional Emulation of Earth System Models with Diffusion Models Seth Bassetti Brian Hutchinson Claudia Tebaldi Ben Kravitz DiffM 137 11 0 23 Apr 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
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a reviewIEEE/CAA Journal of Automatica Sinica (IEEE/CAA JAS), 2023 Sibo Cheng César Quilodrán-Casas Said Ouala A. Farchi Che Liu ... Weiping Ding Wenhan Luo A. Carrassi Marc Bocquet Rossella Arcucci AI4CE 179 188 0 18 Mar 2023
A topological classifier to characterize brain states: When shape matters more than variancePLoS ONE (PLoS ONE), 2023 Aina Ferrà G. Cecchini Fritz-Pere Nobbe Fisas Carles Casacuberta I. Cos 124 2 0 07 Mar 2023
Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points Jennifer Sleeman David Chung C. Ashcraft Jay Brett A. Gnanadesikan ... M. Pradal R. Gelderloos Caroline Tang Anshu Saksena Larry White AI4CE 49 6 0 14 Feb 2023
Differentiable modeling to unify machine learning and physical models and advance Geosciences Chaopeng Shen A. Appling Pierre Gentine Toshiyuki Bandai H. Gupta ... Chris Rackauckas Tirthankar Roy Chonggang Xu Binayak Mohanty K. Lawson AI4CE 291 16 0 10 Jan 2023
Myths and Legends in High-Performance ComputingThe international journal of high performance computing applications (IJHPCA), 2023 Satoshi Matsuoka Jens Domke Mohamed Wahib Aleksandr Drozd Torsten Hoefler 291 15 0 06 Jan 2023
Learning Subgrid-scale Models with Neural Ordinary Differential Equations Shinhoo Kang Emil M. Constantinescu AI4CE 219 7 0 20 Dec 2022
Exploring Randomly Wired Neural Networks for Climate Model EmulationArtificial Intelligence for the Earth Systems (AIES), 2022 William Yik Sam J. Silva A. Geiss D. Watson‐Parris 184 3 0 06 Dec 2022
Stochastic Parameterization of Column Physics using Generative Adversarial NetworksEnvironmental Data Science (EDS), 2022 Balasubramanya T. Nadiga Xiaoming Sun Cody Nash GAN 100 8 0 30 Nov 2022
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization Alexander Wikner Joseph Harvey M. Girvan Brian R. Hunt Andrew Pomerance Thomas Antonsen Edward Ott 138 7 0 09 Nov 2022
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantificationNeural Information Processing Systems (NeurIPS), 2022 Ruoxi Jiang Rebecca Willett 131 6 0 03 Nov 2022
History-Based, Bayesian, Closure for Stochastic Parameterization: Application to Lorenz '96 Mohamed Aziz Bhouri Pierre Gentine AI4TS AI4CE 144 6 0 26 Oct 2022
Online model error correction with neural networks in the incremental 4D-Var frameworkJournal of Advances in Modeling Earth Systems (JAMES), 2022 A. Farchi M. Chrust Marc Bocquet P. Laloyaux Massimo Bonavita 180 30 0 25 Oct 2022
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research D. Lunga Yingjie Hu Shawn D. Newsam Song Gao B. Martins Hsiuhan Lexie Yang XueQing Deng AI4CE 114 4 0 20 Oct 2022
MAgNet: Mesh Agnostic Neural PDE SolverNeural Information Processing Systems (NeurIPS), 2022 Oussama Boussif D. Assouline L. Benabbou Yoshua Bengio AI4CE 316 33 0 11 Oct 2022
Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation R. Parthipan Damon J. Wischik 111 4 0 08 Oct 2022
AutoML for Climate Change: A Call to Action Renbo Tu Nicholas Roberts Vishak Prasad Sibasis Nayak P. Jain Frederic Sala Ganesh Ramakrishnan Ameet Talwalkar Willie Neiswanger Colin White 148 6 0 07 Oct 2022
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
Towards Fine-Dining Recipe Generation with Generative Pre-trained Transformers Konstantinos Katserelis Konstantinos Skianis 124 3 0 26 Sep 2022
Differentiable Programming for Earth System ModelingGeoscientific Model Development (GMD), 2022 Maximilian Gelbrecht Alistair J R White S. Bathiany Niklas Boers 193 23 0 29 Aug 2022
Efficient Climate Simulation via Machine Learning Method Xin Wang Wei Xue Yilun Han Guangwen Yang AILaw 115 2 0 15 Aug 2022
A Container-Based Workflow for Distributed Training of Deep Learning Algorithms in HPC ClustersCluster Computing (CC), 2022 Jose González-Abad Álvaro López García Valentin Kozlov 87 9 0 04 Aug 2022
Physics-Informed Learning of Aerosol MicrophysicsEnvironmental Data Science (EDS), 2022 P. Harder D. Watson‐Parris P. Stier Dominik Strassel N. Gauger J. Keuper 111 23 0 24 Jul 2022
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers Björn Lütjens Catherine H. Crawford C. Watson C. Hill Dava Newman AI4CE 108 11 0 23 Jul 2022
A Primer on Topological Data Analysis to Support Image Analysis Tasks in Environmental Science Lander Ver Hoef Henry Adams E. King I. Ebert‐Uphoff 187 24 0 21 Jul 2022
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction Taehyeon Kim Namgyu Ho Donggyu Kim Se-Young Yun BDL 142 7 0 30 Jun 2022
Short-range forecasts of global precipitation using deep learning-augmented numerical weather prediction Manmeet Singh SB Vaisakh N. Acharya Aditya Grover Suryachandra A. Rao B. Kumar Zong‐Liang Yang D. Niyogi AI4Cl 109 7 0 23 Jun 2022
Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flowPNAS Nexus (PNAS Nexus), 2022 Adam Subel Yifei Guan Ashesh Chattopadhyay Pedram Hassanzadeh AI4CE 115 47 0 07 Jun 2022
Learning Green's functions associated with time-dependent partial differential equationsJournal of machine learning research (JMLR), 2022 N. Boullé Seick Kim Tianyi Shi Alex Townsend AI4CE 207 28 0 27 Apr 2022
A posteriori learning for quasi-geostrophic turbulence parametrizationJournal of Advances in Modeling Earth Systems (JAMES), 2022 Hugo Frezat Julien Le Sommer Ronan Fablet G. Balarac Redouane Lguensat 142 64 0 08 Apr 2022
Using Probabilistic Machine Learning to Better Model Temporal Patterns in Parameterizations: a case study with the Lorenz 96 modelGeoscientific Model Development (GMD), 2022 R. Parthipan H. Christensen J. S. Hosking Damon J. Wischik AI4CE 125 10 0 28 Mar 2022
Simulating Liquids with Graph Networks Jonathan Klimesch Philipp Holl Nils Thuerey GNN AI4CE 146 12 0 14 Mar 2022
Machine learning for Earth System Science (ESS): A survey, status and future directions for South Asia Manmeet Singh B. Kumar R. Chattopadhyay K. Amarjyothi Anup K. Sutar Sukanta Roy Suryachandra A. Rao R. Nanjundiah AI4Cl 110 1 0 24 Dec 2021
Machine Learning Emulation of Urban Land Surface ProcessesJournal of Advances in Modeling Earth Systems (JAMES), 2021 David Meyer S. Grimmond P. Dueben R. Hogan M. Reeuwijk 102 19 0 21 Dec 2021
Deep Learning Based Cloud Cover Parameterization for ICONJournal of Advances in Modeling Earth Systems (JAMES), 2021 Arthur Grundner Tom Beucler Pierre Gentine Fernando Iglesias‐Suarez M. Giorgetta Veronika Eyring 148 31 0 21 Dec 2021
Climate-Invariant Machine Learning Tom Beucler Pierre Gentine J. Yuval Ankitesh Gupta Liran Peng ... F. Ahmed P. O’Gorman J. Neelin N. Lutsko Michael S. Pritchard OOD AI4CE 212 85 0 14 Dec 2021
Output-weighted and relative entropy loss functions for deep learning precursors of extreme events S. Rudy T. Sapsis 177 18 0 01 Dec 2021
ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models Salva Rühling Cachay Venkatesh Ramesh J. Cole H. Barker David Rolnick 92 21 0 29 Nov 2021
Short-term precipitation prediction using deep learning Guoxing Chen Wei‐Chyung Wang AI4Cl 119 36 0 05 Oct 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
Paradigm Shift Through the Integration of Physical Methodology and Data Science T. Miyamoto AI4CE 78 0 0 30 Sep 2021