Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China
Tiexi Chen
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China
Shijie Li
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China
Daniel Fiifi Tawia Hagan
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China
Department of Infrastructure Engineering, University of Melbourne, Melbourne, VIC 3010, Australia
Department of Hydraulic Engineering, Tshinghua University, Beijing, 100084, China
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China
Buda Su
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China
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6,618
1,741
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8,517
252
161
231
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PDF: 1,741
XML: 158
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Views and downloads (calculated since 16 Mar 2021)
Cumulative views and downloads
(calculated since 16 Mar 2021)
Total article views: 6,719 (including HTML, PDF, and XML)
HTML
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BibTeX
EndNote
5,504
1,094
121
6,719
252
142
201
HTML: 5,504
PDF: 1,094
XML: 121
Total: 6,719
Supplement: 252
BibTeX: 142
EndNote: 201
Views and downloads (calculated since 21 Dec 2021)
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Total article views: 1,798 (including HTML, PDF, and XML)
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1,114
647
37
1,798
19
30
HTML: 1,114
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Total: 1,798
BibTeX: 19
EndNote: 30
Views and downloads (calculated since 16 Mar 2021)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 8,517 (including HTML, PDF, and XML)
Thereof 8,190 with geography defined
and 327 with unknown origin.
Total article views: 6,719 (including HTML, PDF, and XML)
Thereof 6,539 with geography defined
and 180 with unknown origin.
Total article views: 1,798 (including HTML, PDF, and XML)
Thereof 1,651 with geography defined
and 147 with unknown origin.
This study has combined three existing land evaporation (ET) products to obtain a single framework of a long-term (1980–2017) daily ET product at a spatial resolution of 0.25° to define the global proxy ET with lower uncertainties. The merged product is the best at capturing dynamics over different locations and times among all data sets. The merged product performed well over a range of vegetation cover scenarios and also captured the trend of land evaporation over different areas well.
This study has combined three existing land evaporation (ET) products to obtain a single...