Key Laboratory of Meteorological Disaster, Ministry of Education
(KLME), Joint International Research Laboratory of Climate and Environment
Change (ILCEC), and Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Shuzhen Hu
Key Laboratory of Meteorological Disaster, Ministry of Education
(KLME), Joint International Research Laboratory of Climate and Environment
Change (ILCEC), and Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Key Laboratory of Meteorological Disaster, Ministry of Education
(KLME), Joint International Research Laboratory of Climate and Environment
Change (ILCEC), and Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Key Laboratory of Meteorological Disaster, Ministry of Education
(KLME), Joint International Research Laboratory of Climate and Environment
Change (ILCEC), and Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Viewed
Total article views: 4,072 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
3,112
844
116
4,072
130
195
HTML: 3,112
PDF: 844
XML: 116
Total: 4,072
BibTeX: 130
EndNote: 195
Views and downloads (calculated since 15 Jun 2020)
Cumulative views and downloads
(calculated since 15 Jun 2020)
Total article views: 3,398 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,752
567
79
3,398
97
158
HTML: 2,752
PDF: 567
XML: 79
Total: 3,398
BibTeX: 97
EndNote: 158
Views and downloads (calculated since 29 Oct 2020)
Cumulative views and downloads
(calculated since 29 Oct 2020)
Total article views: 674 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
360
277
37
674
33
37
HTML: 360
PDF: 277
XML: 37
Total: 674
BibTeX: 33
EndNote: 37
Views and downloads (calculated since 15 Jun 2020)
Cumulative views and downloads
(calculated since 15 Jun 2020)
Viewed (geographical distribution)
Total article views: 4,072 (including HTML, PDF, and XML)
Thereof 3,847 with geography defined
and 225 with unknown origin.
Total article views: 3,398 (including HTML, PDF, and XML)
Thereof 3,264 with geography defined
and 134 with unknown origin.
Total article views: 674 (including HTML, PDF, and XML)
Thereof 583 with geography defined
and 91 with unknown origin.
Understanding the forecasting skills of the subseasonal-to-seasonal (S2S) model on Tibetan Plateau snow cover (TPSC) is the first step to applying the S2S model to hydrological forecasts over the Tibetan Plateau. This study conducted a multimodel comparison of the TPSC prediction skill to learn about their performance in capturing TPSC variability. S2S models can skillfully forecast TPSC within a lead time of 2 weeks but show limited skill beyond 3 weeks. Systematic biases of TPSC were found.
Understanding the forecasting skills of the subseasonal-to-seasonal (S2S) model on Tibetan...
