Analog forecasting of extreme-causing weather patterns using deep learning

26 July 2019

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

16 / 16 papers shown

Title
When are dynamical systems learned from time series data statistically accurate? Jeongjin Park Nicole Yang Nisha Chandramoorthy AI4TS 41 4 0 09 Nov 2024
Can AI weather models predict out-of-distribution gray swan tropical cyclones? Y. Qiang Sun Pedram Hassanzadeh Mohsen Zand Ashesh Chattopadhyay Jonathan Weare D. Abbot 42 7 0 19 Oct 2024
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves Alessandro Lovo Amaury Lancelin Corentin Herbert Freddy Bouchet AI4CE 40 0 0 01 Oct 2024
OceanNet: A principled neural operator-based digital twin for regional oceans Ashesh Chattopadhyay Michael Gray Tianning Wu Anna B. Lowe Ruoying He AI4Cl 33 13 0 01 Oct 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 48 6 0 06 Apr 2023
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 27 13 0 03 Jun 2022
Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence Ashesh Chattopadhyay Jaideep Pathak Ebrahim Nabizadeh W. Bhimji Pedram Hassanzadeh BDL 24 7 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 63 666 0 22 Feb 2022
Model-assisted deep learning of rare extreme events from partial observations Anna Asch Ethan Brady Hugo Gallardo John Hood Bryan Chu M. Farazmand 32 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 27 15 0 01 Oct 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 26 25 0 16 Mar 2021
Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methods B. Hamzi R. Maulik H. Owhadi AI4TS 17 28 0 13 Feb 2021
Meta-modeling strategy for data-driven forecasting Dominic J. Skinner R. Maulik 21 3 0 14 Nov 2020
Complex Sequential Data Analysis: A Systematic Literature Review of Existing Algorithms Kudakwashe Dandajena I. Venter Mehrdad Ghaziasgar Reg Dodds AI4TS 31 2 0 22 Jul 2020
Non-parametric estimation of Stochastic Differential Equations from stationary time-series Xi Chen I. Timofeyev 16 4 0 16 Jul 2020
Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere Jonathan A. Weyn Dale Durran R. Caruana AI4Cl 29 257 0 15 Mar 2020