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CloudCast -- Total Cloud Cover Nowcasting with Machine Learning
v1v2 (latest)

CloudCast -- Total Cloud Cover Nowcasting with Machine Learning

27 October 2024
Mikko Partio
Leila Hieta
Anniina Kokkonen
ArXiv (abs)PDFHTML

Papers citing "CloudCast -- Total Cloud Cover Nowcasting with Machine Learning"

14 / 14 papers shown
Title
Segregation and Context Aggregation Network for Real-time Cloud Segmentation
Segregation and Context Aggregation Network for Real-time Cloud Segmentation
Yijie Li
Hewei Wang
Jiayi Zhang
Jinjiang You
Jinfeng Xu
Puzhen Wu
Yunzhong Xiao
Soumyabrata Dev
424
1
0
19 Apr 2025
Physically Explainable Deep Learning for Convective Initiation
  Nowcasting Using GOES-16 Satellite Observations
Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations
Da Fan
S. Greybush
David John Gagne
E. Clothiaux
78
2
0
24 Oct 2023
Statistical Properties of the log-cosh Loss Function Used in Machine
  Learning
Statistical Properties of the log-cosh Loss Function Used in Machine Learning
Resve A. Saleh
A. Saleh
108
30
0
09 Aug 2022
Seamless lightning nowcasting with recurrent-convolutional deep learning
Seamless lightning nowcasting with recurrent-convolutional deep learning
J. Leinonen
U. Hamann
U. Germann
89
22
0
15 Mar 2022
Training Vision Transformers with Only 2040 Images
Training Vision Transformers with Only 2040 Images
Yunhao Cao
Hao Yu
Jianxin Wu
ViT
178
44
0
26 Jan 2022
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive
  Learning
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
Yunbo Wang
Haixu Wu
Jianjin Zhang
Zhifeng Gao
Jianmin Wang
Philip S. Yu
Mingsheng Long
163
397
0
17 Mar 2021
U-Net and its variants for medical image segmentation: theory and
  applications
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
120
1,105
0
02 Nov 2020
Cloud Cover Nowcasting with Deep Learning
Cloud Cover Nowcasting with Deep Learning
Léa Berthomier
Bruno Pradel
Lior Perez
72
25
0
24 Sep 2020
CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds
CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds
A. H. Nielsen
Alexandros Iosifidis
H. Karstoft
54
19
0
15 Jul 2020
MetNet: A Neural Weather Model for Precipitation Forecasting
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
319
278
0
24 Mar 2020
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
724
18,428
0
27 May 2016
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
778
8,047
0
13 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
2.1K
77,890
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.6K
150,708
0
22 Dec 2014
1