Climate Change Data Portal
DOI | 10.5194/acp-22-9215-2022 |
Estimated regional CO2 flux and uncertainty based on an ensemale of atmospheric CO2 inversions | |
Chandra, Naveen; Patra, Prabir K.; Niwa, Yousuke; Ito, Akihiko; Iida, Yosuke; Goto, Daisuke; Morimoto, Shinji; Kondo, Masayuki; Takigawa, Masayuki; Hajima, Tomohiro; Watanabe, Michio | |
发表日期 | 2022 |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
起始页码 | 9215 |
结束页码 | 9243 |
卷号 | 22期号:14页码:29 |
英文摘要 | Global and regional sources and sinks of carbon across the earth's surface have been studied extensively using atmospheric carbon dioxide (CO2) observations and atmospheric chemistry-transport model (ACTM) simulations (top-down/inversion method). However, the uncertainties in the regional flux distributions remain unconstrained due to the lack of high-quality measurements, uncertainties in model simulations, and representation of data and flux errors in the inversion systems. Here, we assess the representation of data and flux errors using a suite of 16 inversion cases derived from a single transport model (MIROC4-ACTM) but different sets of a priori (bottom-up) terrestrial biosphere and oceanic fluxes, as well as prior flux and observational data uncertainties (50 sites) to estimate CO2 fluxes for 84 regions over the period 2000-2020. The inversion ensembles provide a mean flux field that is consistent with the global CO2 growth rate, land and ocean sink partitioning of -2.9 +/- 0.3 (+/- 1 sigma uncertainty on the ensemble mean) and -1.6 +/- 0.2 PgC yr(-1), respectively, for the period 2011-2020 (without riverine export correction), offsetting about 22%-33% and 16%-18% of global fossil fuel CO2 emissions. The rivers carry about 0.6 PgC yr(-1) of land sink into the deep ocean, and thus the effective land and ocean partitioning is -2.3 +/- 0.3 and -2.2 +/- 0.3, respectively. Aggregated fluxes for 15 land regions compare reasonably well with the best estimations for the 2000s (similar to 2000-2009), given by the REgional Carbon Cycle Assessment and Processes (RECCAP), and all regions appeared as a carbon sink over 2011-2020. Interannual variability and seasonal cycle in CO2 fluxes are more consistently derived for two distinct prior fluxes when a greater degree of freedom (increased prior flux uncertainty) is given to the inversion system. We have further evaluated the inversion fluxes using meridional CO2 distributions from independent (not used in the inversions) aircraft and surface measurements, suggesting that the ensemble mean flux (model-observation mean +/- 1 sigma standard deviation = -0.3 +/- 3 ppm) is best suited for global and regional CO2 flux budgets than an individual inversion (model-observation 1 sigma standard deviation = -0.35 +/- 3.3 ppm). Using the ensemble mean fluxes and uncertainties for 15 land and 11 ocean regions at 5-year intervals, we show promise in the capability to track flux changes toward supporting the ongoing and future CO2 emission mitigation policies. |
学科领域 | Environmental Sciences; Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000826518800001 |
来源期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/273332 |
作者单位 | Japan Agency for Marine-Earth Science & Technology (JAMSTEC); Chiba University; Tohoku University; National Institute for Environmental Studies - Japan; Japan Meteorological Agency; Research Organization of Information & Systems (ROIS); National Institute of Polar Research (NIPR) - Japan; Nagoya University; University of Tokyo |
推荐引用方式 GB/T 7714 | Chandra, Naveen,Patra, Prabir K.,Niwa, Yousuke,et al. Estimated regional CO2 flux and uncertainty based on an ensemale of atmospheric CO2 inversions[J],2022,22(14):29. |
APA | Chandra, Naveen.,Patra, Prabir K..,Niwa, Yousuke.,Ito, Akihiko.,Iida, Yosuke.,...&Watanabe, Michio.(2022).Estimated regional CO2 flux and uncertainty based on an ensemale of atmospheric CO2 inversions.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(14),29. |
MLA | Chandra, Naveen,et al."Estimated regional CO2 flux and uncertainty based on an ensemale of atmospheric CO2 inversions".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.14(2022):29. |
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