DOI: 10.1002/jgrd.50332
论文题名: Impact of aerosol and thin cirrus on retrieving and validating XCO <inf>2</inf> from GOSAT shortwave infrared measurements
作者: Guerlet S. ; Butz A. ; Schepers D. ; Basu S. ; Hasekamp O.P. ; Kuze A. ; Yokota T. ; Blavier J.-F. ; Deutscher N.M. ; Griffith D.W.T. ; Hase F. ; Kyro E. ; Morino I. ; Sherlock V. ; Sussmann R. ; Galli A. ; Aben I.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 10 起始页码: 4887
结束页码: 4905
语种: 英语
英文关键词: Carbon Dioxide
; GOSAT
; Remote sensing
; TCCON
Scopus关键词: Carbon dioxide
; Clouds
; Errors
; Infrared detectors
; Remote sensing
; Scattering
; Aerosol optical thickness
; Correlation of errors
; Fourier transform spectrometers
; GOSAT
; Greenhouse gases observing satellites
; Ground-based stations
; TCCON
; Validation of satellite datum
; Aerosols
; aerosol
; albedo
; algorithm
; carbon dioxide
; cirrus
; GOSAT
; remote sensing
; satellite data
; shortwave radiation
英文摘要: Inadequate treatment of aerosol scattering can be a significant source of error when retrieving column-averaged dry-air mole fractions of CO2 (XCO2 ) from space-based measurements of backscattered solar shortwave radiation. We have developed a retrieval algorithm, RemoTeC, that retrieves three aerosol parameters (amount, size, and height) simultaneously with XCO 2 . Here we evaluate the ability of RemoTeC to account for light path modifications by clouds, subvisual cirrus, and aerosols when retrieving XCO 2 from Greenhouse Gases Observing Satellite (GOSAT) Thermal and Near-infrared Sensor for carbon Observation (TANSO)-Fourier Transform Spectrometer (FTS) measurements. We first evaluate a cloud filter based on measurements from the Cloud and Aerosol Imager and a cirrus filter that uses radiances measured by TANSO-FTS in the 2 micron spectral region, with strong water absorption. For the cloud-screened scenes, we then evaluate errors due to aerosols. We find that RemoTeC is well capable of accounting for scattering by aerosols for values of aerosol optical thickness at 750 nm up to 0.25. While no significant correlation of errors is found with albedo, correlations are found with retrieved aerosol parameters. To further improve the XCO2 accuracy, we propose and evaluate a bias correction scheme. Measurements from 12 ground-based stations of the Total Carbon Column Observing Network (TCCON) are used as a reference in this study. We show that spatial colocation criteria may be relaxed using additional constraints based on modeled XCO2 gradients, to increase the size and diversity of validation data and provide a more robust evaluation of GOSAT retrievals. Global-scale validation of satellite data remains challenging and would be improved by increasing TCCON coverage. Key Points Errors due to clouds and aerosols are evaluated in full physics XCO2 retrievalsA bias correction is tested to improve regional accuracy of RemoTeC retrievalsTwo co-location methods are evaluated for validation of satellite retrievals ©2013. American Geophysical Union. All Rights Reserved. 资助项目: BU2599/1-1
; DP0879468
; DP110103118
; LE0668470
; LP0562346
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63730
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: SRON Netherlands Institute for Space Research, Utrecht, Netherlands; Laboratoire de Météorologie Dynamique/IPSL/CNRS/UPMC, 4 Place Jussieu, F-75252 Paris, France; IMK-ASF, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany; Japanese Aerospace Exploration Agency (JAXA), Tsukuba, Japan; National Institute for Environmental Studies, Tsukuba, Japan; Jet Propulsion Laboratory, California Institute of Technology, Pasadena CA, United States; Institute of Environmental Physics, University of Bremen, Bremen, Germany; School of Chemistry, University of Wollongong, Wollongong NSW, Australia; Arctic Research Center, Finnish Meteorological Institute, Helsinki, Finland; National Institute of Water and Atmospheric Research, Wellington, New Zealand; IMK-IFU, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany
Recommended Citation:
Guerlet S.,Butz A.,Schepers D.,et al. Impact of aerosol and thin cirrus on retrieving and validating XCO <inf>2</inf> from GOSAT shortwave infrared measurements[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(10)