Model experiment description paper |
| 23 May 2023
CLGAN: a generative adversarial network (GAN)-based video prediction model for precipitation nowcasting
Yan Ji,Bing Gong,Michael Langguth,Amirpasha Mozaffari,and Xiefei Zhi
Yan Ji
Key Laboratory of Meteorological Disaster, Ministry of Education (KLME), Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China
Jülich Supercomputing Centre, Forschungszentrum Jülich, 52425 Jülich, Germany
Jülich Supercomputing Centre, Forschungszentrum Jülich, 52425 Jülich, Germany
Xiefei Zhi
Key Laboratory of Meteorological Disaster, Ministry of Education (KLME), Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China
Viewed
Total article views: 6,205 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
5,099
982
124
6,205
144
199
HTML: 5,099
PDF: 982
XML: 124
Total: 6,205
BibTeX: 144
EndNote: 199
Views and downloads (calculated since 14 Nov 2022)
Cumulative views and downloads
(calculated since 14 Nov 2022)
Total article views: 5,051 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
4,266
691
94
5,051
126
182
HTML: 4,266
PDF: 691
XML: 94
Total: 5,051
BibTeX: 126
EndNote: 182
Views and downloads (calculated since 23 May 2023)
Cumulative views and downloads
(calculated since 23 May 2023)
Total article views: 1,154 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
833
291
30
1,154
18
17
HTML: 833
PDF: 291
XML: 30
Total: 1,154
BibTeX: 18
EndNote: 17
Views and downloads (calculated since 14 Nov 2022)
Cumulative views and downloads
(calculated since 14 Nov 2022)
Viewed (geographical distribution)
Total article views: 6,205 (including HTML, PDF, and XML)
Thereof 6,071 with geography defined
and 134 with unknown origin.
Total article views: 5,051 (including HTML, PDF, and XML)
Thereof 4,955 with geography defined
and 96 with unknown origin.
Total article views: 1,154 (including HTML, PDF, and XML)
Thereof 1,116 with geography defined
and 38 with unknown origin.
Formulating short-term precipitation forecasting as a video prediction task, a novel deep learning architecture (convolutional long short-term memory generative adversarial network, CLGAN) is proposed. A benchmark dataset is built on minute-level precipitation measurements. Results show that with the GAN component the model generates predictions sharing statistical properties with observations, resulting in it outperforming the baseline in dichotomous and spatial scores for heavy precipitation.
Formulating short-term precipitation forecasting as a video prediction task, a novel deep...
