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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6,667
1,764
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8,597
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238
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Cumulative views and downloads
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Total article views: 6,786 (including HTML, PDF, and XML)
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5,542
1,117
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6,786
254
143
206
HTML: 5,542
PDF: 1,117
XML: 127
Total: 6,786
Supplement: 254
BibTeX: 143
EndNote: 206
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1,125
647
39
1,811
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Viewed (geographical distribution)
Total article views: 8,597 (including HTML, PDF, and XML)
Thereof 8,264 with geography defined
and 333 with unknown origin.
Total article views: 6,786 (including HTML, PDF, and XML)
Thereof 6,600 with geography defined
and 186 with unknown origin.
Total article views: 1,811 (including HTML, PDF, and XML)
Thereof 1,664 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...
