Influence of differences in current GOSAT X CO2 retrievals on surface flux estimation

Hiroshi Takagi; Sander Houweling; Robert J. Andres; Dmitry Belikov; Andrey Bril; Hartmut Boesch; Andre Butz; Sandrine Guerlet; Otto Hasekamp; Shamil Maksyutov; Isamu Morino; Tomohiro Oda; Christopher W. O'Dell; Sergey Oshchepkov; Robert Parker; Makoto Saito; Osamu Uchino; Tatsuya Yokota; Yukio Yoshida; Vinu Valsala

doi:10.1002/2013GL059174

Influence of differences in current GOSAT X _CO2 retrievals on surface flux estimation

Hiroshi Takagi
, Sander Houweling
, Robert J. Andres
, Dmitry Belikov
, Andrey Bril
, Hartmut Boesch
, Andre Butz
, Sandrine Guerlet
, Otto Hasekamp
, Shamil Maksyutov
, Isamu Morino
, Tomohiro Oda
, Christopher W. O'Dell
, Sergey Oshchepkov
, Robert Parker
, Makoto Saito
, Osamu Uchino
, Tatsuya Yokota
, Yukio Yoshida
, Vinu Valsala

Research output: Contribution to journal › Article › peer-review

Abstract

We investigated differences in the five currently-available datasets of column-integrated CO₂ concentrations (XCO₂) retrieved from spectral soundings collected by Greenhouse gases Observing SATellite (GOSAT) and assessed their impact on regional CO₂ flux estimates. We did so by estimating the fluxes from each of the five XCO₂ datasets combined with surface-based CO₂ data, using a single inversion system the five XCO₂ datasets are available in raw and bias-corrected versions, and we found that the bias corrections diminish the range of the five coincident values by ∼30% on average the departures of the five individual inversion results (annual-mean regional fluxes based on XCO₂-surface combined data) from the surface-data-only results were close to one another in some terrestrial regions where spatial coverage by each XCO₂ dataset was similar the mean of the five annual global land uptakes was 1.7-±-0.3 GtC yr^-1, and they were all smaller than the value estimated from the surface-based data alone. Key Points Differences in five recent satellite-based CO₂ datasets were investigated Influence of CO₂ data differences on surface CO₂ flux estimation was assessed Impact on flux estimates varies with number density of available data

Original language	English
Pages (from-to)	2598-2605
Number of pages	8
Journal	Geophysical Research Letters
Volume	41
Issue number	7
DOIs	https://doi.org/10.1002/2013GL059174
Publication status	Published - 16 Apr 2014

Keywords

GOSAT
inverse modeling
surface fluxes

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10.1002/2013GL059174

Cite this

Takagi, H., Houweling, S., Andres, R. J., Belikov, D., Bril, A., Boesch, H., Butz, A., Guerlet, S., Hasekamp, O., Maksyutov, S., Morino, I., Oda, T., O'Dell, C. W., Oshchepkov, S., Parker, R., Saito, M., Uchino, O., Yokota, T., Yoshida, Y., & Valsala, V. (2014). Influence of differences in current GOSAT X _CO2 retrievals on surface flux estimation. Geophysical Research Letters, 41(7), 2598-2605. https://doi.org/10.1002/2013GL059174

@article{7bae558dceed453d9d3e216a923994da,

title = "Influence of differences in current GOSAT X CO2 retrievals on surface flux estimation",

abstract = "We investigated differences in the five currently-available datasets of column-integrated CO2 concentrations (XCO2) retrieved from spectral soundings collected by Greenhouse gases Observing SATellite (GOSAT) and assessed their impact on regional CO2 flux estimates. We did so by estimating the fluxes from each of the five XCO2 datasets combined with surface-based CO2 data, using a single inversion system the five XCO2 datasets are available in raw and bias-corrected versions, and we found that the bias corrections diminish the range of the five coincident values by ∼30\% on average the departures of the five individual inversion results (annual-mean regional fluxes based on XCO2-surface combined data) from the surface-data-only results were close to one another in some terrestrial regions where spatial coverage by each XCO2 dataset was similar the mean of the five annual global land uptakes was 1.7-±-0.3 GtC yr-1, and they were all smaller than the value estimated from the surface-based data alone. Key Points Differences in five recent satellite-based CO2 datasets were investigated Influence of CO2 data differences on surface CO2 flux estimation was assessed Impact on flux estimates varies with number density of available data",

keywords = "GOSAT, inverse modeling, surface fluxes",

author = "Hiroshi Takagi and Sander Houweling and Andres, \{Robert J.\} and Dmitry Belikov and Andrey Bril and Hartmut Boesch and Andre Butz and Sandrine Guerlet and Otto Hasekamp and Shamil Maksyutov and Isamu Morino and Tomohiro Oda and O'Dell, \{Christopher W.\} and Sergey Oshchepkov and Robert Parker and Makoto Saito and Osamu Uchino and Tatsuya Yokota and Yukio Yoshida and Vinu Valsala",

year = "2014",

month = apr,

day = "16",

doi = "10.1002/2013GL059174",

language = "English",

volume = "41",

pages = "2598--2605",

journal = "Geophysical Research Letters",

issn = "0094-8276",

number = "7",

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Takagi, H, Houweling, S, Andres, RJ, Belikov, D, Bril, A, Boesch, H, Butz, A, Guerlet, S, Hasekamp, O, Maksyutov, S, Morino, I, Oda, T, O'Dell, CW, Oshchepkov, S, Parker, R, Saito, M, Uchino, O, Yokota, T, Yoshida, Y & Valsala, V 2014, 'Influence of differences in current GOSAT X _CO2 retrievals on surface flux estimation', Geophysical Research Letters, vol. 41, no. 7, pp. 2598-2605. https://doi.org/10.1002/2013GL059174

TY - JOUR

T1 - Influence of differences in current GOSAT X CO2 retrievals on surface flux estimation

AU - Takagi, Hiroshi

AU - Houweling, Sander

AU - Andres, Robert J.

AU - Belikov, Dmitry

AU - Bril, Andrey

AU - Boesch, Hartmut

AU - Butz, Andre

AU - Guerlet, Sandrine

AU - Hasekamp, Otto

AU - Maksyutov, Shamil

AU - Morino, Isamu

AU - Oda, Tomohiro

AU - O'Dell, Christopher W.

AU - Oshchepkov, Sergey

AU - Parker, Robert

AU - Saito, Makoto

AU - Uchino, Osamu

AU - Yokota, Tatsuya

AU - Yoshida, Yukio

AU - Valsala, Vinu

PY - 2014/4/16

Y1 - 2014/4/16

N2 - We investigated differences in the five currently-available datasets of column-integrated CO2 concentrations (XCO2) retrieved from spectral soundings collected by Greenhouse gases Observing SATellite (GOSAT) and assessed their impact on regional CO2 flux estimates. We did so by estimating the fluxes from each of the five XCO2 datasets combined with surface-based CO2 data, using a single inversion system the five XCO2 datasets are available in raw and bias-corrected versions, and we found that the bias corrections diminish the range of the five coincident values by ∼30% on average the departures of the five individual inversion results (annual-mean regional fluxes based on XCO2-surface combined data) from the surface-data-only results were close to one another in some terrestrial regions where spatial coverage by each XCO2 dataset was similar the mean of the five annual global land uptakes was 1.7-±-0.3 GtC yr-1, and they were all smaller than the value estimated from the surface-based data alone. Key Points Differences in five recent satellite-based CO2 datasets were investigated Influence of CO2 data differences on surface CO2 flux estimation was assessed Impact on flux estimates varies with number density of available data

AB - We investigated differences in the five currently-available datasets of column-integrated CO2 concentrations (XCO2) retrieved from spectral soundings collected by Greenhouse gases Observing SATellite (GOSAT) and assessed their impact on regional CO2 flux estimates. We did so by estimating the fluxes from each of the five XCO2 datasets combined with surface-based CO2 data, using a single inversion system the five XCO2 datasets are available in raw and bias-corrected versions, and we found that the bias corrections diminish the range of the five coincident values by ∼30% on average the departures of the five individual inversion results (annual-mean regional fluxes based on XCO2-surface combined data) from the surface-data-only results were close to one another in some terrestrial regions where spatial coverage by each XCO2 dataset was similar the mean of the five annual global land uptakes was 1.7-±-0.3 GtC yr-1, and they were all smaller than the value estimated from the surface-based data alone. Key Points Differences in five recent satellite-based CO2 datasets were investigated Influence of CO2 data differences on surface CO2 flux estimation was assessed Impact on flux estimates varies with number density of available data

KW - GOSAT

KW - inverse modeling

KW - surface fluxes

U2 - 10.1002/2013GL059174

DO - 10.1002/2013GL059174

M3 - Article

AN - SCOPUS:84897175247

SN - 0094-8276

VL - 41

SP - 2598

EP - 2605

JO - Geophysical Research Letters

JF - Geophysical Research Letters

IS - 7