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A Robust Estimate of Continental-Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals

Journal Article · · Geophysical Research Letters
DOI:https://doi.org/10.1029/2023gl102815· OSTI ID:2283828
 [1];  [2];  [1];  [1];  [1];  [2];  [1];  [2];  [3];  [4];  [5];  [1];  [1];  [6]
  1. Nanjing University (China)
  2. Nanjing University (China); Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing (China)
  3. University of Exeter (United Kingdom)
  4. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
  5. Nanjing University of Information Science & Technology (NUIST) (China)
  6. University of Toronto, ON (Canada)
+ Show Author Affiliations
Satellite XCO2 retrievals could improve the estimates of surface carbon fluxes, but it remains unknown on what scales these estimates are robust. Here, we use the time-dependent Bayesian synthesis top-down method and prior net ecosystem exchanges (NEEs) from 12 terrestrial biosphere models (TBMs) to infer the monthly carbon fluxes of 51 land regions with constraints by GOSAT XCO2 retrievals. We find that the uncertainty (standard deviation of 12 TBMs) reduction rates (uncertainty reduction rate (URR)) decrease significantly at decreasing spatial scales. On the continental-scale, the mean URR is about 57%, and the annual and seasonal cycle estimates of NEE are rather robust. The evaluation shows that the posterior CO2 concentrations are significantly improved at the continental scale. Our study suggests that the GOSAT XCO2 can only promise a robust continental-scale NEE estimate and improving the XCO2 accuracy is an effective way to achieve robust estimates on smaller scales under current spatial coverage.
Research Organization:
Nanjing University (China); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
National Natural Science Foundation of China (NSFC); USDOE
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
2283828
Journal Information:
Geophysical Research Letters, Journal Name: Geophysical Research Letters Journal Issue: 6 Vol. 50; ISSN 0094-8276
Publisher:
American Geophysical Union (AGU)Copyright Statement
Country of Publication:
United States
Language:
English

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