Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network

20 May 2020

Papers citing "Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network"

17 / 17 papers shown

Title
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling Subhankar Ghosh Arun Sharma Jayant Gupta Aneesh Subramanian Shashi Shekhar DiffM 59 5 0 28 Jan 2025
Kolmogorov Arnold Neural Interpolator for Downscaling and Correcting Meteorological Fields from In-Situ Observations Zili Liu Hao Chen Lei Bai Wenyuan Li Zhengxia Zou Zhenwei Shi 48 1 0 24 Jan 2025
A Likelihood-Based Generative Approach for Spatially Consistent Precipitation Downscaling Jose González-Abad 33 0 0 26 Jun 2024
Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling Kiri Daust Adam Monahan 43 2 0 31 May 2024
Precipitation nowcasting with generative diffusion models Andrea Asperti Fabio Merizzi Alberto Paparella G. Pedrazzi M. Angelinelli Stefano Colamonaco DiffM 25 17 0 13 Aug 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 31 4 0 06 Apr 2023
On the modern deep learning approaches for precipitation downscaling B. Kumar Kaustubh Atey B. Singh R. Chattopadhyay N. Acharya Manmeet Singh R. Nanjundiah A. S. Rao MLAU 17 38 0 02 Jul 2022
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts L. Harris Andrew T. T. McRae Matthew Chantry P. Dueben T. Palmer 11 101 0 05 Apr 2022
Increasing the accuracy and resolution of precipitation forecasts using deep generative models Ilan Price S. Rasp AI4Cl 19 47 0 23 Mar 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks Y. Yasuda R. Onishi 8 4 0 22 Feb 2022
Combining data assimilation and machine learning to estimate parameters of a convective-scale model Stefanie Legler T. Janjić 16 18 0 07 Sep 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 25 99 0 26 Apr 2021
Controlled abstention neural networks for identifying skillful predictions for classification problems E. Barnes R. Barnes 11 8 0 16 Apr 2021
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model D. Gagne H. Christensen A. Subramanian A. Monahan AI4CE BDL 33 137 0 10 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution Alice Lucas Santiago López-Tapia Rafael Molina Aggelos K. Katsaggelos GAN SupR 31 171 0 14 Jun 2018
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 201 7,816 0 13 Jun 2015