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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5,081
1,349
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6,571
394
125
206
HTML: 5,081
PDF: 1,349
XML: 141
Total: 6,571
Supplement: 394
BibTeX: 125
EndNote: 206
Views and downloads (calculated since 04 Feb 2022)
Cumulative views and downloads
(calculated since 04 Feb 2022)
Total article views: 5,215 (including HTML, PDF, and XML)
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Total
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BibTeX
EndNote
4,147
952
116
5,215
230
114
188
HTML: 4,147
PDF: 952
XML: 116
Total: 5,215
Supplement: 230
BibTeX: 114
EndNote: 188
Views and downloads (calculated since 06 Jul 2022)
Cumulative views and downloads
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Total article views: 1,356 (including HTML, PDF, and XML)
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Total
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BibTeX
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934
397
25
1,356
164
11
18
HTML: 934
PDF: 397
XML: 25
Total: 1,356
Supplement: 164
BibTeX: 11
EndNote: 18
Views and downloads (calculated since 04 Feb 2022)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 6,571 (including HTML, PDF, and XML)
Thereof 6,338 with geography defined
and 233 with unknown origin.
Total article views: 5,215 (including HTML, PDF, and XML)
Thereof 5,051 with geography defined
and 164 with unknown origin.
Total article views: 1,356 (including HTML, PDF, and XML)
Thereof 1,287 with geography defined
and 69 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...
