Differentiable Programming for Earth System Modeling

Differentiable Programming for Earth System Modeling

29 August 2022

Maximilian Gelbrecht

Alistair J R White

Papers citing "Differentiable Programming for Earth System Modeling"

9 / 9 papers shown

Title
Augmented Invertible Koopman Autoencoder for long-term time series forecasting Anthony Frion Lucas Drumetz M. Dalla Mura Guillaume Tochon Abdeldjalil Aissa El Bey AI4TS 46 0 0 17 Mar 2025
Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence Fei Er Yan Hugo Frezat Julien Le Sommer Julian Mak Karl Otness 59 1 0 21 Nov 2024
Projected Neural Differential Equations for Learning Constrained Dynamics Alistair J R White Anna Buttner Maximilian Gelbrecht Valentin Duruisseaux Niki Kilbertus Frank Hellmann Niklas Boers 39 0 0 31 Oct 2024
Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence R. Mojgani Daniel Waelchli Yifei Guan P. Koumoutsakos P. Hassanzadeh AI4Cl AI4CE 15 5 0 01 Dec 2023
Reconstructing Historical Climate Fields With Deep Learning Nils Bochow Anna Poltronieri M. Rypdal Niklas Boers AI4Cl AI4CE 10 0 0 30 Nov 2023
Neural General Circulation Models for Weather and Climate Dmitrii Kochkov J. Yuval I. Langmore Peter C. Norgaard Jamie A. Smith ... Peter W. Battaglia Alvaro Sanchez-Gonzalez Matthew Willson Michael P. Brenner Stephan Hoyer AI4Cl AI4CE 20 126 0 13 Nov 2023
Gradient-free online learning of subgrid-scale dynamics with neural emulators Hugo Frezat Ronan Fablet G. Balarac Julien Le Sommer 19 4 0 30 Oct 2023
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources J. Willard C. Varadharajan X. Jia Vipin Kumar AI4TS 17 3 0 18 Aug 2023
Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints Alistair J R White Niki Kilbertus Maximilian Gelbrecht Niklas Boers 20 6 0 16 Jun 2023