ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows

11 August 2020

Papers citing "ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows"

7 / 7 papers shown

Title
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 28 0 0 25 Sep 2024
Generative Diffusion-based Downscaling for Climate Robbie A. Watt Laura A. Mansfield DiffM 40 3 0 27 Apr 2024
Reflections from the Workshop on AI-Assisted Decision Making for Conservation Lily Xu Esther Rolf Sara Beery J. Bennett T. Berger-Wolf ... P. Moorcroft Jonathan Palmer Andrew Perrault D. Thau Milind Tambe 55 3 0 17 Jul 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models Z. Y. Wan Ricardo Baptista Yi-fan Chen John R. Anderson Anudhyan Boral Fei Sha Leonardo Zepeda-Núñez DiffM 52 24 0 24 May 2023
Increasing the accuracy and resolution of precipitation forecasts using deep generative models Ilan Price S. Rasp AI4Cl 45 50 0 23 Mar 2022
AtmoDist: Self-supervised Representation Learning for Atmospheric Dynamics Sebastian Hoffmann C. Lessig AI4Cl 34 8 0 02 Feb 2022
Convolutional conditional neural processes for local climate downscaling Anna Vaughan Will Tebbutt J. S. Hosking Richard Turner BDL 28 47 0 20 Jan 2021