Will Artificial Intelligence supersede Earth System and Climate Models?

22 January 2021

Papers citing "Will Artificial Intelligence supersede Earth System and Climate Models?"

26 / 26 papers shown

Title
Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Martha Arbayani Zaidan Naser Hossein Motlagh Petteri Nurmi Tareq Hussein Markku Kulmala Tuukka Petäjä Sasu Tarkoma AI4CE 32 0 0 19 Jun 2025
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data Alif Bin Abdul Qayyum Xihaier Luo Nathan M. Urban Xiaoning Qian Byung-Jun Yoon AI4Cl 68 1 0 25 Sep 2024
MambaDS: Near-Surface Meteorological Field Downscaling with Topography Constrained Selective State Space Modeling Zili Liu Hao Chen Lei Bai Wenyuan Li Wanli Ouyang Zhengxia Zou Zhenwei Shi Mamba 107 6 0 20 Aug 2024
Earth System Data Cubes: Avenues for advancing Earth system research David Montero Guido Kraemer Anca Anghelea C. Aybar Gunnar Brandt ... Francesco Martinuzzi Martin Reinhardt Maximilian Sochting Khalil Teber Miguel D. Mahecha 87 3 0 05 Aug 2024
Improving PINNs By Algebraic Inclusion of Boundary and Initial Conditions Mohan Ren Zhihao Fang Keren Li Anirbit Mukherjee PINN AI4CE 86 0 0 30 Jul 2024
The Importance of Architecture Choice in Deep Learning for Climate Applications Simon Dräger Maike Sonnewald AI4CE 77 1 0 21 Feb 2024
Extrapolating tipping points and simulating non-stationary dynamics of complex systems using efficient machine learning Daniel Köglmayr Christoph Räth 51 6 0 11 Dec 2023
Reconstructing Historical Climate Fields With Deep Learning Nils Bochow Anna Poltronieri M. Rypdal Niklas Boers AI4Cl AI4CE 115 2 0 30 Nov 2023
Interpretable Geoscience Artificial Intelligence (XGeoS-AI): Application to Demystify Image Recognition Jin‐Jian Xu Hao Zhang C. Tang Lin Li Bin Shi 71 0 0 08 Nov 2023
Exploring Geometric Deep Learning For Precipitation Nowcasting Shan Zhao Sudipan Saha Zhitong Xiong Niklas Boers Xiaoxiang Zhu 77 1 0 11 Sep 2023
On the choice of training data for machine learning of geostrophic mesoscale turbulence Fei Er Yan Julian Mak Yan Wang AI4CE 61 2 0 03 Jul 2023
Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting Pratik Nag Ying Sun Brian J. Reich 62 18 0 20 Jun 2023
Quantile Extreme Gradient Boosting for Uncertainty Quantification Xiaozhe Yin Masoud Fallah-Shorshani R. McConnell S. Fruin Yao-Yi Chiang M. Franklin UQCV 56 3 0 23 Apr 2023
W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting Xin Man Chenghong Zhang Jin Feng Changyu Li Jie Shao AI4Cl 117 26 0 18 Apr 2023
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review Sibo Cheng César Quilodrán-Casas Said Ouala A. Farchi Che Liu ... Weiping Ding Yike Guo A. Carrassi Marc Bocquet Rossella Arcucci AI4CE 81 138 0 18 Mar 2023
Learning Subgrid-scale Models with Neural Ordinary Differential Equations Shinhoo Kang Emil M. Constantinescu AI4CE 84 7 0 20 Dec 2022
Exploring Randomly Wired Neural Networks for Climate Model Emulation William Yik Sam J. Silva A. Geiss D. Watson‐Parris 62 3 0 06 Dec 2022
Cooperative control of environmental extremes by artificial intelligent agents Martí Sánchez-Fibla Clément Moulin-Frier Ricard Solé AI4CE 62 2 0 05 Dec 2022
Differentiable Programming for Earth System Modeling Maximilian Gelbrecht Alistair J R White S. Bathiany Niklas Boers 91 19 0 29 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 80 13 0 03 Jun 2022
DL4DS -- Deep Learning for empirical DownScaling C. G. Gomez Gonzalez AI4Cl AI4CE 46 6 0 07 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 249 718 0 22 Feb 2022
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next S. Cuomo Vincenzo Schiano Di Cola F. Giampaolo G. Rozza Maizar Raissi F. Piccialli PINN 146 1,306 0 14 Jan 2022
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 110 67 0 14 Dec 2021
Output-weighted and relative entropy loss functions for deep learning precursors of extreme events S. Rudy T. Sapsis 76 16 0 01 Dec 2021
Tackling Climate Change with Machine Learning David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 119 817 0 10 Jun 2019