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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5,523
1,602
164
7,289
472
163
232
HTML: 5,523
PDF: 1,602
XML: 164
Total: 7,289
Supplement: 472
BibTeX: 163
EndNote: 232
Views and downloads (calculated since 04 Feb 2022)
Cumulative views and downloads
(calculated since 04 Feb 2022)
Total article views: 5,837 (including HTML, PDF, and XML)
HTML
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Total
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BibTeX
EndNote
4,524
1,177
136
5,837
270
150
212
HTML: 4,524
PDF: 1,177
XML: 136
Total: 5,837
Supplement: 270
BibTeX: 150
EndNote: 212
Views and downloads (calculated since 06 Jul 2022)
Cumulative views and downloads
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Total article views: 1,452 (including HTML, PDF, and XML)
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999
425
28
1,452
202
13
20
HTML: 999
PDF: 425
XML: 28
Total: 1,452
Supplement: 202
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: 7,289 (including HTML, PDF, and XML)
Thereof 7,034 with geography defined
and 255 with unknown origin.
Total article views: 5,837 (including HTML, PDF, and XML)
Thereof 5,658 with geography defined
and 179 with unknown origin.
Total article views: 1,452 (including HTML, PDF, and XML)
Thereof 1,376 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...
