Uncertainties in the space-based measurements of CO2 columns due to scattering in the Earth's atmosphere

Abstract During the next decade satellites may be expected to provide a promising new source of CO 2 data. However, in order for the column-integrated CO 2 measurements to be useful for sources/sinks inversions, the requirements on these measurements are very demanding. In this paper we therefore quantify the largest error source for such CO 2 measurements in the near-infrared wavelength range ( ∼ 1.6 μ m ) , namely the effect of aerosols and thin cirrus clouds in the atmosphere. The errors are provided for the most common used observation geometries, nadir observations over land and sunglint observations over the ocean. It is estimated that for dust aerosols the aerosol optical thickness must be known within ± 0.05 for errors below ± 0.5 % in the CO 2 total column. For other aerosol types the requirements are less strict (e.g. ± 0.15 for sulfate aerosols). In the case of thin cirrus clouds over land the cirrus optical thickness must be known to ± 0.05 over land surfaces and ± 0.015 for sunglint observations over the ocean in case of moderate windspeed.

[1]  Sander Houweling,et al.  Inverse modeling of CO2 sources and sinks using satellite data: a synthetic inter-comparison of measurement techniques and their performance as a function of space and time , 2003 .

[2]  Otto P. Hasekamp,et al.  Linearization of vector radiative transfer with respect to aerosol properties and its use in satellite remote sensing , 2005 .

[3]  Time-dependent atmospheric CO2 inversions based on interannually varying tracer transport , 2003 .

[4]  K. Liou,et al.  Solar Radiative Transfer in Cirrus Clouds. Part I: Single-Scattering and Optical Properties of Hexagonal Ice Crystals , 1989 .

[5]  Ilse Aben,et al.  Evidence of systematic errors in SCIAMACHY-observed CO 2 due to aerosols , 2005 .

[6]  Taro Takahashi,et al.  Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models , 2002, Nature.

[7]  C. Cox Statistics of the sea surface derived from sun glitter , 1954 .

[8]  M. Buchwitz,et al.  SCIAMACHY: Mission Objectives and Measurement Modes , 1999 .

[9]  Ilse Aben,et al.  Surface pressure retrieval from SCIAMACHY measurements in the O 2 A Band: validation of the measurements and sensitivity on aerosols , 2005 .

[10]  M. Mishchenko,et al.  Satellite retrieval of aerosol properties over the ocean using polarization as well as intensity of reflected sunlight , 1997 .

[11]  Yasuhiro Sasano,et al.  An evaluation of CO2 observations with Solar Occultation FTS for Inclined-Orbit Satellite sensor for surface source inversion , 2003 .

[12]  O. P. Hasekamp,et al.  A linearized vector radiative transfer model for atmospheric trace gas retrieval , 2002 .

[13]  Peter J. Rayner,et al.  Global observations of the carbon budget, 2, CO2 column from differential absorption of reflected sunlight in the 1.61 μm band of CO2 , 2002 .

[14]  Jianping Mao,et al.  Sensitivity studies for space-based measurement of atmospheric total column carbon dioxide by reflected sunlight. , 2004, Applied optics.

[15]  Paul S. Monks,et al.  Measuring atmospheric CO 2 from space using Full Spectral Initiation (FSI) WFM-DOAS , 2006 .

[16]  B T Tolton,et al.  Sensitivity of radiometric measurements of the atmospheric CO2 column from space. , 2001, Applied optics.

[17]  Michael J. Prather,et al.  CO2 source inversions using satellite observations of the upper troposphere , 2001 .

[18]  P. Rayner,et al.  The utility of remotely sensed CO2 concentration data in surface source inversions , 2001 .

[19]  Eric P. Shettle,et al.  Atmospheric Aerosols: Global Climatology and Radiative Characteristics , 1991 .

[20]  Piet Stammes,et al.  Scattering matrices of imperfect hexagonal ice crystals , 1998 .

[21]  W. D. Rooij,et al.  Expansion of Mie scattering matrices in generalized spherical functions , 1984 .

[22]  A. Denning,et al.  Global observations of the carbon budget: 1. Expected satellite capabilities for emission spectroscopy in the EOS and NPOESS eras , 2001 .

[23]  Gang Li,et al.  The HITRAN 2008 molecular spectroscopic database , 2005 .

[24]  François-Marie Bréon,et al.  Spaceborne estimate of atmospheric CO2 column by use of the differential absorption method: error analysis. , 2003, Applied optics.

[25]  A. Hollingsworth,et al.  The feasibility of monitoring CO2 from high‐resolution infrared sounders , 2003 .

[26]  Graeme L. Stephens,et al.  Retrieving profiles of atmospheric CO2 in clear sky and in the presence of thin cloud using spectroscopy from the near and thermal infrared: A preliminary case study , 2004 .

[27]  Corinne Le Quéré,et al.  Regional changes in carbon dioxide fluxes of land and oceans since 1980. , 2000, Science.

[28]  Michael Buchwitz,et al.  Retrieval of CH4, CO, and CO2 total column amounts from SCIAMACHY near-infrared nadir spectra: retrieval algorithm and first results , 2004, SPIE Remote Sensing.

[29]  G. Toon,et al.  Spaceborne measurements of atmospheric CO2 by high‐resolution NIR spectrometry of reflected sunlight: An introductory study , 2002 .

[30]  Nicolas Gruber,et al.  The Oceanic Sink for Anthropogenic CO2 , 2004, Science.

[31]  David Crisp,et al.  The Orbiting Carbon Observatory (OCO) mission , 2004 .

[32]  Thomas Trautmann,et al.  A linearized radiative transfer model for ozone profile retrieval using the analytical forward-adjoint perturbation theory approach , 2001 .