Title of article
TROPOMI aboard Sentinel-5 Precursor: Prospective performance of CH4 retrievals for aerosol and cirrus loaded atmospheres
Author/Authors
Butz، نويسنده , , Phillip A. B. Galli، نويسنده , , A. and Hasekamp، نويسنده , , O. and Landgraf، نويسنده , , J. J. van Tol، نويسنده , , P. and Aben، نويسنده , , I.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2012
Pages
10
From page
267
To page
276
Abstract
The TROPOspheric Monitoring Instrument (TROPOMI) will be part of ESAʹs Sentinel-5 Precursor satellite platform scheduled for launch in late 2014. One of TROPOMIʹs primary goals will be to accurately monitor methane (CH4) concentrations in the Earthʹs atmosphere by measuring spectra of sunlight backscattered by the Earthʹs surface and atmosphere in the shortwave-infrared (SWIR) spectral range. Absorption by CH4 along the lightpath allows for the spectroscopic retrieval of its atmospheric abundance given accurate knowledge of the lightpath. Scattering by aerosol and cirrus particles, however, can modify the lightpath substantially causing retrieval errors if not appropriately taken into account. We propose and evaluate a method to minimise these errors by simultaneously retrieving CH4 total column concentrations and scattering properties of the atmosphere. The method exploits observations by TROPOMIʹs SWIR and near-infrared (NIR) channels and is based on a parameterisation of particle amount, height distribution, and microphysical properties. Retrieval performance is tested for a trial ensemble of simulated observations that cover a realistic range of aerosol and cirrus loaded scenes. For more than 90% of the trials, residual scattering induced CH4 errors are less than 1%. Retrievals with residual errors larger than 1% and non-convergent retrievals typically occur for difficult scenes with high particle load or very small surface albedo.
Keywords
atmospheric methane , Scattering atmospheres , Retrieval methods , TROPOMI , Sentinel-5 Precursor
Journal title
Remote Sensing of Environment
Serial Year
2012
Journal title
Remote Sensing of Environment
Record number
1631889
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