Toward a long-term atmospheric CO2 inversion for elucidating natural carbon fluxes: technical notes of NISMON-CO2 v2021.1

被引:0
作者
Yosuke Niwa
Kentaro Ishijima
Akihiko Ito
Yosuke Iida
机构
[1] National Institute for Environmental Studies,
[2] Meteorological Research Institute,undefined
[3] Japan Agency for Marine-Earth Science and Technology,undefined
[4] Nagoya University,undefined
[5] Japan Meteorological Agency,undefined
来源
Progress in Earth and Planetary Science | / 9卷
关键词
Inverse analysis; Carbon dioxide; Carbon cycle; Atmospheric transport model; Data assimilation;
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摘要
Accurate estimates of the carbon dioxide (CO2) fluxes at the earth’s surface are imperative for comprehending the carbon cycle mechanisms and providing reliable global warming predictions. Furthermore, they can also provide valuable science-based information that will be helpful in reducing human-induced CO2 emissions. Inverse analysis is a prominent method of quantitatively estimating spatiotemporal variations in CO2 fluxes; however, it involves a certain level of uncertainty and requires technical refinement, specifically to improve the horizontal resolution so that local fluxes can be compared with other estimates made at the regional or national level. In this study, a novel set of inversion schemes was incorporated into a state-of-the-art inverse analysis system named NISMON-CO2. The introduced schemes include a grid conversion, observational weighting, and anisotropic prior error covariance, the details of which are described. Moreover, pseudo-observation experiments were performed to examine the effect of the new schemes and to assess the reliability of NISMON-CO2 for long-term analysis with practical inhomogeneous observations. The experiment results evidently demonstrate the advantages of the grid conversion scheme for high-resolution flux estimates (1° × 1°), with notable improvements being achieved through the observational weighting and anisotropic prior error covariance. Furthermore, the estimated seasonal and interannual variations in regional CO2 fluxes were confirmed to be reliable, although some potential bias in terms of global land–ocean partitioning was observed. Thus, these results are useful for interpreting the flux variations that result from real-observation inverse analysis by NISMON-CO2 ver. 2021.1.
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[1]  
Baker DF(2006)TransCom 3 inversion intercomparison: impact of transport model errors on the interannual variability of regional CO Glob Biogeochem Cycles 290 1342-1346
[2]  
Law RM(2000) fluxes, 1988–2003 Science 42 3004-3010
[3]  
Gurney KR(2015)Regional changes in carbon dioxide fluxes of land and oceans since 1980 Geophys Res Lett 48 2021-093565
[4]  
Rayner P(2010)Atmospheric carbonyl sulfide sources from anthropogenic activity: implications for carbon cycle constraints J Geophys Res 2 023508-1675
[5]  
Peylin P(2021)CO Geophys Res Lett 14 1639-3353
[6]  
Denning AS(2008) surface fluxes at grid point scale estimated from a global 21 year reanalysis of atmospheric measurements J Appl Remote Sens 19 3337-3340
[7]  
Bousquet P(2022)Fluxes of carbon dioxide from managed ecosystems estimated by national inventories compared to atmospheric inverse modeling Earth Syst Sci Data 12 3269-2005
[8]  
Bruhwiler L(2006)NASA orbiting carbon observatory: measuring the column averaged carbon dioxide mole fraction from space J Clim 14 1917-454
[9]  
Chen Y(2020)Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Earth Syst Sci Data 55 450-181
[10]  
Ciais P(2022)Climate–carbon cycle feedback analysis: Results from the C4MIP model intercomparison Earth Syst Sci Data 61 167-630