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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6,534
1,684
153
8,371
248
155
227
HTML: 6,534
PDF: 1,684
XML: 153
Total: 8,371
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BibTeX: 155
EndNote: 227
Views and downloads (calculated since 16 Mar 2021)
Cumulative views and downloads
(calculated since 16 Mar 2021)
Total article views: 6,586 (including HTML, PDF, and XML)
HTML
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EndNote
5,426
1,044
116
6,586
248
136
197
HTML: 5,426
PDF: 1,044
XML: 116
Total: 6,586
Supplement: 248
BibTeX: 136
EndNote: 197
Views and downloads (calculated since 21 Dec 2021)
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Total article views: 1,785 (including HTML, PDF, and XML)
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1,108
640
37
1,785
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30
HTML: 1,108
PDF: 640
XML: 37
Total: 1,785
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: 8,371 (including HTML, PDF, and XML)
Thereof 8,051 with geography defined
and 320 with unknown origin.
Total article views: 6,586 (including HTML, PDF, and XML)
Thereof 6,414 with geography defined
and 172 with unknown origin.
Total article views: 1,785 (including HTML, PDF, and XML)
Thereof 1,637 with geography defined
and 148 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...
