Influence of differences in current GOSAT XCO2 retrievals on surface flux estimation

被引：39

作者：

Takagi, Hiroshi ^{[1
]}

Houweling, Sander ^{[2
,3
]}

Andres, Robert J. ^{[4
]}

Belikov, Dmitry ^{[1
,5
]}

Bril, Andrey ^{[1
]}

Boesch, Hartmut ^{[6
]}

Butz, Andre ^{[7
]}

Guerlet, Sandrine ^{[2
]}

Hasekamp, Otto ^{[2
]}

Maksyutov, Shamil ^{[1
]}

Morino, Isamu ^{[1
]}

Oda, Tomohiro ^{[8
,9
]}

O'Dell, Christopher W. ^{[8
]}

Oshchepkov, Sergey ^{[1
]}

Parker, Robert ^{[6
]}

Saito, Makoto ^{[1
]}

Uchino, Osamu ^{[1
]}

Yokota, Tatsuya ^{[1
]}

Yoshida, Yukio ^{[1
]}

Valsala, Vinu ^{[10
]}

机构：

[1] Natl Inst Environm Studies, Tsukuba, Ibaraki, Japan

[2] Netherland Inst Space Res, Utrecht, Netherlands

[3] Inst Marine & Atmospher Res Utrecht, Utrecht, Netherlands

[4] Oak Ridge Natl Lab, Oak Ridge, TN USA

[5] Natl Inst Polar Res, Tokyo, Japan

[6] Univ Leicester, Dept Phys & Astron, EOS Grp, Leicester LE1 7RH, Leics, England

[7] Karlsruhe Inst Technol, Leopoldshafen, Germany

[8] Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA

[9] NOAA, Global Monitoring Div, Earth Syst Res Lab, Boulder, CO USA

[10] Indian Inst Trop Meteorol, Pune, Maharashtra, India

来源：

GEOPHYSICAL RESEARCH LETTERS | 2014年 / 41卷 / 07期

关键词：

CO2 sources and sinks; surface fluxes; inverse modeling; GOSAT; column CO2 concentration; GREENHOUSE GASES; REGIONAL CO2; SPECTROSCOPIC OBSERVATIONS; ALGORITHM; SATELLITE; VALIDATION; ROBUST; SPACE;

D O I：

10.1002/2013GL059174

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

We investigated differences in the five currently-available datasets of column-integrated CO2 concentrations (X-CO2) 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 X-CO2 datasets combined with surface-based CO2 data, using a single inversion system. The five X-CO2 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 similar to 30% on average. The departures of the five individual inversion results (annual-mean regional fluxes based on X-CO2-surface combined data) from the surface-data-only results were close to one another in some terrestrial regions where spatial coverage by each X-CO2 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.

引用

页码：2598 / 2605

页数：8

共 50 条

[11] CONSISTENCY IN XCO2 RETRIEVALS FROM SCIAMACHY, GOSAT AND OCO-2 FOR SPATIO-TEMPORAL CHARACTERISTICS AT A GLOBAL SCALE
Lei, Liping
Zhong, Hui
Wu, Changjiang
Zeng, Zhaocheng
He, Zhonghua
Wu, Yanhong
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 3120 - 3122
[12] Temporal and spatial analysis of global GOSAT XCO2 variations characteristics
Wang Qian
Lei Liping
Liu Da
Liu Min
Qin Xiuchun
Sun Baoming
REMOTE SENSING OF THE ENVIRONMENT, 2015, 9669
[13] Combining GOSAT XCO2 observations over land and ocean to improve regional CO2 flux estimates
Deng, Feng
Jones, Dylan B. A.
O'Dell, Christopher W.
Nassar, Ray
Parazoo, Nicholas C.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2016, 121 (04) : 1896 - 1913
[14] Carbon monitoring system flux estimation and attribution: impact of ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric sources and sinks
Liu, Junjie
Bowman, Kevin W.
Lee, Meemong
Henze, Daven K.
Bousserez, Nicolas
Brix, Holger
Collatz, G. James
Menemenlis, Dimitris
Ott, Lesley
Pawson, Steven
Jones, Dylan
Nassar, Ray
TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY, 2014, 66
[15] A METHOD FOR PHYSICALLY FUSING XCO2 MEASUREMENTS RETRIEVED FROM SCIAMACHY AND GOSAT
Wang, Tianxing
Shi, Jiancheng
Jing, Yingying
2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, : 3351 - 3354
[16] Estimates of European uptake of CO2 inferred from GOSAT XCO2 retrievals: sensitivity to measurement bias inside and outside Europe
Feng, L.
Palmer, P. I.
Parker, R. J.
Deutscher, N. M.
Feist, D. G.
Kivi, R.
Morino, I.
Sussmann, R.
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2016, 16 (03) : 1289 - 1302
[17] The Significance of Fast Radiative Transfer for Hyperspectral SWIR XCO2 Retrievals
Somkuti, Peter
Bosch, Hartmut
Parker, Robert J.
ATMOSPHERE, 2020, 11 (11)
[18] Spectroscopic uncertainty impacts on OCO-2/3 retrievals of XCO2
Hobbs, Jonathan M.
Drouin, Brian J.
Oyafuso, Fabiano
Payne, Vivienne H.
Gunson, Michael R.
McDuffie, James
Mlawer, Eli J.
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 2020, 257
[19] Improved Consistency of Satellite XCO2 Retrievals Based on Machine Learning
Huang, Xiaoting
Deng, Zhu
Jiang, Fei
Zhou, Minqiang
Lin, Xiaojuan
Liu, Zhu
Peng, Muyan
GEOPHYSICAL RESEARCH LETTERS, 2024, 51 (08)
[20] Ability of the 4-D-Var analysis of the GOSAT BESD XCO2 retrievals to characterize atmospheric CO2 at large and synoptic scales
Massart, Sebastien
Agusti-Panareda, Anna
Heymann, Jens
Buchwitz, Michael
Chevallier, Frederic
Reuter, Maximilian
Hilker, Michael
Burrows, John P.
Deutscher, Nicholas M.
Feist, Dietrich G.
Hase, Frank
Sussmann, Ralf
Desmet, Filip
Dubey, Manvendra K.
Griffith, David W. T.
Kivi, Rigel
Petri, Christof
Schneider, Matthias
Velazco, Voltaire A.
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2016, 16 (03) : 1653 - 1671

← 1 2 3 4 5 →