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Physical Scales Matter: The Role of Receptive Fields and Advection in Satellite-Based Thunderstorm Nowcasting with Convolutional Neural Networks

Physical Scales Matter: The Role of Receptive Fields and Advection in Satellite-Based Thunderstorm Nowcasting with Convolutional Neural Networks

14 April 2025
Christoph Metzl
Kianusch Vahid Yousefnia
Richard Müller
Virginia Poli
Miria Celano
Tobias Bölle
ArXiv (abs)PDFHTML

Papers citing "Physical Scales Matter: The Role of Receptive Fields and Advection in Satellite-Based Thunderstorm Nowcasting with Convolutional Neural Networks"

8 / 8 papers shown
Title
Seamless lightning nowcasting with recurrent-convolutional deep learning
Seamless lightning nowcasting with recurrent-convolutional deep learning
J. Leinonen
U. Hamann
U. Germann
54
20
0
15 Mar 2022
A Spatial-temporal Graph Deep Learning Model for Urban Flood Nowcasting
  Leveraging Heterogeneous Community Features
A Spatial-temporal Graph Deep Learning Model for Urban Flood Nowcasting Leveraging Heterogeneous Community Features
H. Farahmand
Yuanchang Xu
Ali Mostafavi
AI4CE
87
42
0
09 Nov 2021
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
Suman V. Ravuri
Karel Lenc
Matthew Willson
D. Kangin
Rémi R. Lam
...
R. Hadsell
Nial H. Robinson
Ellen Clancy
A. Arribas
S. Mohamed
AI4Cl
178
741
0
02 Apr 2021
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
532
42,591
0
03 Dec 2019
Road Extraction by Deep Residual U-Net
Road Extraction by Deep Residual U-Net
Zhengxin Zhang
Qingjie Liu
Yunhong Wang
SSeg
80
2,134
0
29 Nov 2017
Understanding the Effective Receptive Field in Deep Convolutional Neural
  Networks
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
Wenjie Luo
Yujia Li
R. Urtasun
R. Zemel
HAI
102
1,799
0
15 Jan 2017
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
566
8,005
0
13 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
1