A Generative Deep Learning Approach to Stochastic Downscaling of
Precipitation Forecasts

A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts

5 April 2022

Andrew T. T. McRae

Matthew Chantry

Papers citing "A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts"

9 / 9 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 62 5 0 28 Jan 2025
Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models P. Hess Markus Drüke S. Petri Felix M. Strnad Niklas Boers 33 60 0 03 Jan 2025
A Likelihood-Based Generative Approach for Spatially Consistent Precipitation Downscaling Jose González-Abad 41 0 0 26 Jun 2024
Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling Kiri Daust Adam Monahan 51 2 0 31 May 2024
SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion Model Xudong Ling Chaorong Li Fengqing Qin Peng Yang Yuanyuan Huang DiffM AI4Cl 33 5 0 21 Feb 2024
Precipitation nowcasting with generative diffusion models Andrea Asperti Fabio Merizzi Alberto Paparella G. Pedrazzi M. Angelinelli Stefano Colamonaco DiffM 25 18 0 13 Aug 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 22 38 0 02 Jul 2022
MetNet: A Neural Weather Model for Precipitation Forecasting C. Sønderby L. Espeholt Jonathan Heek Mostafa Dehghani Avital Oliver Tim Salimans Shreya Agrawal Jason Hickey Nal Kalchbrenner AI4Cl 214 272 0 24 Mar 2020
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 201 7,884 0 13 Jun 2015