Retrieval of CFC concentrations from thermal infrared spectrum observed by Greenhouse gases Observation SATellite (GOSAT)
Abstract
Chemical substances emitted by the anthropological activities cause serious environmental problems. Among them, CFCs have been depleting ozone layer in the stratosphere. Also, it is reported that their radiative forcing is 0.268 W/m2 and they could largely account for global warming. To mitigate these problems, it is important to estimate their distribution and amount globally with good accuracy. Though on site measurements provide considerably precise data, the observation sites are quite limited. In contrast, results retrieved from data obtained by remote sensing may contain more errors, but its wide spatial coverage is great advantage to monitor atmosphere globally and continuously for long term. The purpose of this study is to retrieve concentrations of CFC-11 and CFC-12, and replacements for CFCs from thermal infrared spectrum data obtained by Greenhouse gases Observation SATellite (GOSAT). We use spectrum data taken from its main sensor, Fourier transform spectrometer TANSO-FTS, particularly its band 4 (5.5 - 14.3μm). The sub-sensor called TANSO-CAI is used for cloud screening. To calculate simulated spectrum using a radiative transfer model, LBLRTM, the meteorological reanalysis data including atmospheric information at each point such as surface temperature and atmospheric composition are prepared. As the first step, we focus on CFC-11 and CFC-12 which have strong absorption band near 850 cm-1 and 920 cm-1 respectably. For retrieving the gases, the baselines of the observed and calculated spectrum need to be matched. However, it is not always true due to the uncertainty of information in the reanalysis data. To match baselines, we first set the constant emissivity and estimate the surface temperature. Even after the procedure, spectral residue still remained particularly on the peaks of water vapor absorption lines. We will retrieve more precise surface temperature and the amount of water vapor from observed each spectrum so that we could get better a priori for gas retrieval. We will also discuss how accurately CFC-11 and CFC-12 can be retrieved by GOSAT data.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2011
- Bibcode:
- 2011AGUFM.A51A0161I
- Keywords:
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- 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 3360 ATMOSPHERIC PROCESSES / Remote sensing