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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4,997
1,302
140
6,439
380
123
193
HTML: 4,997
PDF: 1,302
XML: 140
Total: 6,439
Supplement: 380
BibTeX: 123
EndNote: 193
Views and downloads (calculated since 04 Feb 2022)
Cumulative views and downloads
(calculated since 04 Feb 2022)
Total article views: 5,101 (including HTML, PDF, and XML)
HTML
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Total
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BibTeX
EndNote
4,069
917
115
5,101
222
113
175
HTML: 4,069
PDF: 917
XML: 115
Total: 5,101
Supplement: 222
BibTeX: 113
EndNote: 175
Views and downloads (calculated since 06 Jul 2022)
Cumulative views and downloads
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Total article views: 1,338 (including HTML, PDF, and XML)
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Total
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BibTeX
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928
385
25
1,338
158
10
18
HTML: 928
PDF: 385
XML: 25
Total: 1,338
Supplement: 158
BibTeX: 10
EndNote: 18
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Total article views: 6,439 (including HTML, PDF, and XML)
Thereof 6,204 with geography defined
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Total article views: 5,101 (including HTML, PDF, and XML)
Thereof 4,936 with geography defined
and 165 with unknown origin.
Total article views: 1,338 (including HTML, PDF, and XML)
Thereof 1,268 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...
