Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Jiangsu Center for Collaborative Innovation in Geographical
Information Resource Development and Application, Nanjing, 210023, China
Frontiers Science Center for Critical Earth Material Cycling, Nanjing
University, Nanjing, 210023, China
Weimin Ju
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Jiangsu Center for Collaborative Innovation in Geographical
Information Resource Development and Application, Nanjing, 210023, China
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Mousong Wu
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Hengmao Wang
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Mengwei Jia
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Lingyu Zhang
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Jing M. Chen
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Department of Geography and Planning, University of Toronto, Toronto, Ontario
M5S3G3, Canada
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5,361
1,459
156
6,976
420
137
221
HTML: 5,361
PDF: 1,459
XML: 156
Total: 6,976
Supplement: 420
BibTeX: 137
EndNote: 221
Views and downloads (calculated since 04 Feb 2022)
Cumulative views and downloads
(calculated since 04 Feb 2022)
Total article views: 5,565 (including HTML, PDF, and XML)
HTML
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Total
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BibTeX
EndNote
4,386
1,050
129
5,565
241
124
202
HTML: 4,386
PDF: 1,050
XML: 129
Total: 5,565
Supplement: 241
BibTeX: 124
EndNote: 202
Views and downloads (calculated since 06 Jul 2022)
Cumulative views and downloads
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Total article views: 1,411 (including HTML, PDF, and XML)
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975
409
27
1,411
179
13
19
HTML: 975
PDF: 409
XML: 27
Total: 1,411
Supplement: 179
BibTeX: 13
EndNote: 19
Views and downloads (calculated since 04 Feb 2022)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 6,976 (including HTML, PDF, and XML)
Thereof 6,746 with geography defined
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Total article views: 5,565 (including HTML, PDF, and XML)
Thereof 5,405 with geography defined
and 160 with unknown origin.
Total article views: 1,411 (including HTML, PDF, and XML)
Thereof 1,341 with geography defined
and 70 with unknown origin.
A 10-year (2010–2019) global monthly terrestrial NEE dataset (GCAS2021) was inferred from the GOSAT ACOS v9 XCO2 product. It shows strong carbon sinks over eastern N. America, the Amazon, the Congo Basin, Europe, boreal forests, southern China, and Southeast Asia. It has good quality and can reflect the impacts of extreme climates and large-scale climate anomalies on carbon fluxes well. We believe that this dataset can contribute to regional carbon budget assessment and carbon dynamics research.
A 10-year (2010–2019) global monthly terrestrial NEE dataset (GCAS2021) was inferred from the...
