Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-19-13267-2019 |
Prior biosphere model impact on global terrestrial CO2 fluxes estimated from OCO-2 retrievals | |
Philip, Sajeev1,2,10; Johnson, Matthew S.1; Potter, Christopher1; Genovesse, Vanessa1,3; Baker, David F.4,5; Haynes, Katherine D.6; Henze, Daven K.7; Liu, Junjie8; Poulter, Benjamin9 | |
2019-10-28 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2019 |
卷号 | 19期号:20页码:13267-13287 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | This study assesses the impact of different state of the art global biospheric CO2 flux models, when applied as prior information, on inverse model "top-down" estimates of terrestrial CO2 fluxes obtained when assimilating Orbiting Carbon Observatory 2 (000-2) observations. This is done with a series of observing system simulation experiments (OSSEs) using synthetic CO2 column-average dry air mole fraction (XCO2) retrievals sampled at the OCO-2 satellite spatiotemporal frequency. The OSSEs utilized a 4-D variational (4D-Var) assimilation system with the GEOS-Chem global chemical transport model (CTM) to estimate CO2 net ecosystem exchange (NEE) fluxes using synthetic OCO-2 observations. The impact of biosphere models in inverse model estimates of NEE is quantified by conducting OSSEs using the NASA-CASA, CASA-GFED, SiB-4, and LPJ models as prior estimates and using NEE from the multi-model ensemble mean of the Multiscale Synthesis and Terrestrial Model Intercomparison Project as the "truth". Results show that the assimilation of simulated XCO2 retrievals at OCO-2 observing modes over land results in posterior NEE estimates which generally reproduce "true" NEE globally and over terrestrial TransCom-3 regions that are well-sampled. However, we find larger spread among pos- terior NEE estimates, when using different prior NEE fluxes, in regions and seasons that have limited OCO-2 observational coverage and a large range in "bottom-up" NEE fluxes. Seasonally averaged posterior NEE estimates had standard deviations (SD) of similar to 10 % to similar to 50 % of the multi-modelmean NEE for different TransCom-3 land regions with significant NEE fluxes (regions/seasons with a NEE flux >= 0.5 PgC yr(-1)). On a global average, the seasonally averaged residual impact of the prior model NEE assumption on the posterior NEE spread is similar to 10 %-20 % of the posterior NEE mean. Additional OCO-2 OSSE simulations demonstrate that posterior NEE estimates are also sensitive to the assumed prior NEE flux uncertainty statistics, with spread in posterior NEE estimates similar to those when using variable prior model NEE fluxes. In fact, the sensitivity of posterior NEE estimates to prior error statistics was larger than prior flux values in some regions/times in the tropics and Southern Hemisphere where sufficient OCO-2 data were available and large differences between the prior and truth were evident. Overall, even with the availability of spatiotemporally dense 000-2 data, noticeable residual differences (up to similar to 20 %-30 % globally and 50 % regionally) in posterior NEE flux estimates remain that were caused by the choice of prior model flux values and the specification of prior flux uncertainties. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000492840700002 |
WOS关键词 | ATMOSPHERIC CO2 ; SEASONAL CYCLE ; CARBON-CYCLE ; IN-SITU ; INTERANNUAL VARIABILITY ; REGIONAL SOURCES ; FIRE EMISSIONS ; SATELLITE DATA ; SURFACE ; SINKS |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/187799 |
专题 | 地球科学 |
作者单位 | 1.NASA, Ames Res Ctr, Moffett Field, CA 94035 USA; 2.Univ Space Res Assoc, NASA Postdoctoral Program, Columbia, MD 21046 USA; 3.Calif State Univ, Sch Nat Sci, Monterey, CA 93955 USA; 4.NOAA, Earth Syst Res Lab, Global Monitoring Div, Boulder, CO 80305 USA; 5.Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80521 USA; 6.Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA; 7.Univ Colorado, Dept Mech Engn, Boulder, CO 80309 USA; 8.CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA; 9.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA; 10.Univ Space Res Assoc, NASA, Acad Mission Serv, Mountain View, CA 94043 USA |
推荐引用方式 GB/T 7714 | Philip, Sajeev,Johnson, Matthew S.,Potter, Christopher,et al. Prior biosphere model impact on global terrestrial CO2 fluxes estimated from OCO-2 retrievals[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2019,19(20):13267-13287. |
APA | Philip, Sajeev.,Johnson, Matthew S..,Potter, Christopher.,Genovesse, Vanessa.,Baker, David F..,...&Poulter, Benjamin.(2019).Prior biosphere model impact on global terrestrial CO2 fluxes estimated from OCO-2 retrievals.ATMOSPHERIC CHEMISTRY AND PHYSICS,19(20),13267-13287. |
MLA | Philip, Sajeev,et al."Prior biosphere model impact on global terrestrial CO2 fluxes estimated from OCO-2 retrievals".ATMOSPHERIC CHEMISTRY AND PHYSICS 19.20(2019):13267-13287. |
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