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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5,570
1,663
167
7,400
504
172
234
HTML: 5,570
PDF: 1,663
XML: 167
Total: 7,400
Supplement: 504
BibTeX: 172
EndNote: 234
Views and downloads (calculated since 04 Feb 2022)
Cumulative views and downloads
(calculated since 04 Feb 2022)
Total article views: 5,925 (including HTML, PDF, and XML)
HTML
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BibTeX
EndNote
4,565
1,221
139
5,925
290
159
214
HTML: 4,565
PDF: 1,221
XML: 139
Total: 5,925
Supplement: 290
BibTeX: 159
EndNote: 214
Views and downloads (calculated since 06 Jul 2022)
Cumulative views and downloads
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Total article views: 1,475 (including HTML, PDF, and XML)
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1,005
442
28
1,475
214
13
20
HTML: 1,005
PDF: 442
XML: 28
Total: 1,475
Supplement: 214
BibTeX: 13
EndNote: 20
Views and downloads (calculated since 04 Feb 2022)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 7,400 (including HTML, PDF, and XML)
Thereof 7,148 with geography defined
and 252 with unknown origin.
Total article views: 5,925 (including HTML, PDF, and XML)
Thereof 5,749 with geography defined
and 176 with unknown origin.
Total article views: 1,475 (including HTML, PDF, and XML)
Thereof 1,399 with geography defined
and 76 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...
