Physics-Informed Learning of Aerosol Microphysics

24 July 2022

Papers citing "Physics-Informed Learning of Aerosol Microphysics"

9 / 9 papers shown

Title
Super-Resolution works for coastal simulations Zhi-Song Liu Markus Buttner V. Aizinger Andreas Rupp SupR 36 0 0 29 Aug 2024
A nudge to the truth: atom conservation as a hard constraint in models of atmospheric composition using an uncertainty-weighted correction Patrick Obin Sturm Sam J. Silva 30 0 0 28 Aug 2024
Enforcing Equity in Neural Climate Emulators William Yik Sam J. Silva 29 1 0 28 Jun 2024
Generative Diffusion-based Downscaling for Climate Robbie A. Watt Laura A. Mansfield DiffM 35 3 0 27 Apr 2024
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 53 6 0 01 Nov 2023
Multi-variable Hard Physical Constraints for Climate Model Downscaling Jose González-Abad Álex Hernández-García P. Harder David Rolnick José Manuel Gutiérrez AI4Cl 28 3 0 02 Aug 2023
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling Qidong Yang Alex Hernandez-Garcia P. Harder Venkatesh Ramesh Prasanna Sattegeri Daniela Szwarcman C. Watson David Rolnick AI4CE 29 21 0 23 May 2023
Hard-Constrained Deep Learning for Climate Downscaling P. Harder Alex Hernandez-Garcia Venkatesh Ramesh Qidong Yang P. Sattigeri Daniela Szwarcman C. Watson David Rolnick 27 19 0 08 Aug 2022
Emulating Aerosol Microphysics with Machine Learning P. Harder D. Watson‐Parris Dominik Strassel N. Gauger P. Stier J. Keuper 20 6 0 22 Sep 2021