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2204.02028
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A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts
5 April 2022
L. Harris
Andrew T. T. McRae
Matthew Chantry
P. Dueben
T. Palmer
Re-assign community
ArXiv
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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
268
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
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