Preprints
https://doi.org/10.5194/essd-2022-15
https://doi.org/10.5194/essd-2022-15
 
04 Feb 2022
04 Feb 2022
Status: a revised version of this preprint is currently under review for the journal ESSD.

A ten-year global monthly averaged terrestrial NEE inferred from the ACOS GOSAT v9 XCO2 retrievals (GCAS2021)

Fei Jiang1,2,4, Weimin Ju1,2, Wei He1, Mousong Wu1, Hengmao Wang1, Jun Wang1, Mengwei Jia1, Shuzhuang Feng1, Lingyu Zhang1, and Jing M. Chen1,3 Fei Jiang et al.
  • 1Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing, 210023, China
  • 2Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China
  • 3Department of Geography, University of Toronto, Toronto, Ontario M5S3G3, Canada
  • 4Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, 210023, China

Abstract. A global gridded Net Ecosystem Exchange (NEE) of CO2 dataset is vital in global and regional carbon cycle studies. Top-down atmospheric inversion is one of the major methods to estimate the global NEE, however, the existing global NEE datasets generated through inversion from conventional CO2 observations have large uncertainties in places where observational data are sparse. Here, by assimilating the GOSAT ACOS v9 XCO2 product, we generate a ten-year (2010–2019) global monthly terrestrial NEE dataset using the Global Carbon Assimilation System, version 2 (GCASv2), which is named as GCAS2021. It includes gridded (1° × 1°), globally, latitudinally, and regionally aggregated prior and posterior NEE and ocean (OCN) fluxes, and prescribed wildfire (FIRE) and fossil fuel and cement (FFC) carbon emissions. Globally, the decadal mean NEE is −3.73 ± 0.52 PgC yr−1, with interannual amplitude of 2.73 PgC yr−1. Combining the OCN flux, and FIRE and FFC emissions, the net biosphere flux (NBE) and atmospheric growth rate (AGR) as well as their inter-annual variabilities (IAVs) agree well with the estimates of Global Carbon Budget 2020. Regionally, our dateset shows that eastern North America, Amazon, Congo Basin, Europe, boreal forests, southern China and Southeast Asia are carbon sinks, while western US, African grasslands, Brazilian plateaus and parts of South Asia are carbon sources. In the TRANSCOM land regions, the NBEs of temperate N. America, northern Africa and boreal Asia are between the estimates of CMS-Flux NBE 2020 and CT2019B, and those in temperate Asia, Europe, and Southeast Asia are consistent with CMS-Flux NBE 2020 but significantly different from CT2019B. In the RECCAP2 regions, except for Africa and South Asia, the NBEs are comparable with the latest bottom-up estimate of Ciais et al. (2021). Compared with previous studies, the IAVs and seasonal cycles of NEE of this dataset could clearly reflect the impacts of extreme climates and large-scale climate anomalies on the carbon flux. The evaluations also show that the posterior CO2 concentrations at remote sites and in regional scale, as well as on vertical CO2 profiles in the Asia-Pacific region and the Amazon basin, are all consistent with independent CO2 measurements from surface flask and aircraft CO2 observations, indicating that this dataset captures surface carbon fluxes well. We believe that this dataset will contribute to regional or national-scale carbon cycle and carbon neutrality assessment, and carbon dynamics research. The dataset can be accessed at https://doi.org/10.5281/zenodo.5829774 (Jiang, 2022).

Fei Jiang et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-15', Anonymous Referee #1, 19 Feb 2022
  • RC2: 'Comment on essd-2022-15', Anonymous Referee #2, 12 Apr 2022
  • RC3: 'Comment on essd-2022-15', Anonymous Referee #3, 27 Apr 2022

Fei Jiang et al.

Data sets

A ten-year (2010-2019) global terrestrial NEE inferred from the GOSAT v9 XCO2 retrievals (GCAS2021) Fei JIANG https://doi.org/10.5281/zenodo.5829774

Fei Jiang et al.

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Short summary
A ten-year (2010–2019) global monthly terrestrial NEE dataset (GCAS2021) was inferred from the GOSAT v9 XCO2 product. It shows strong carbon sinks over eastern North America, Amazon, Congo Basin, Europe, boreal forests, southern China and Southeast Asia. It has good quality and can well reflect the impacts of extreme climates and large-scale climate anomalies on carbon fluxes. We believe that this dataset will contribute to regional carbon budgets assessment, and carbon dynamics research.