Journal of Geo-information Science >
Sensitivity Analysis of Atmospheric Carbon Dioxide Retrieval Parameters Based on RTTOV
Received date: 2013-06-26
Revised date: 2013-09-16
Online published: 2014-05-10
As one of the main greenhouse gases, global atmospheric carbon dioxide has increased one third over the past one hundred years, becoming the focus of global warming research. Using satellite remote sensing technology and radiative transfer model to retrieve atmospheric carbon dioxide has become the most important means to obtain the global carbon dioxide concentration data. However, the input parameters of radiative transfer model inevitably carry some errors, which will influence the retrieval accuracy more or less, so this influence must be quantified and considered in the retrieval algorithm. In this paper, the radiances of 17 infrared carbon dioxide retrieval channels located in 15μm wave band of the Aqua/AIRS infrared detection instrument are simulated by the fast radiative transfer model RTTOV10. The temperature profile, ozone profile, water vapor profile, surface temperature and emissivity are considered as the influence factors. And the sensitivities of the outgoing radiance to the errors of these input parameters are calculated. Then the comparison between these sensitivities and that to 0.5% change of atmospheric carbon dioxide concentration is made. Analysis shows that: temperature profile errors have the biggest influence on carbon dioxide retrieval, and these errors should be less than 0.5k. The total sensitivity of all channels to ozone profile errors are about one third of that to carbon dioxide, making ozone profile errors take the second place. The sensitivities to errors of water vapor profile and surface temperature show the same trend which is only high at channel 738.1 cm-1 and 738.4 cm-1. Errors of surface emissivity are negligible at all channels, because the sensitivities due to them are far less than that to carbon dioxide. Finally, for each channel, these parameters are divided into three classes which are high sensitive parameters, low sensitive parameters and non-sensitive parameters, providing a reference for carbon dioxide retrieval channel selection and algorithm design.
Key words： sensitivity analysis; RTTOV; carbon dioxide; retrieval
LI Jingyao, SHI Runhe, YIN Ruijuan . Sensitivity Analysis of Atmospheric Carbon Dioxide Retrieval Parameters Based on RTTOV[J]. Journal of Geo-information Science, 2014 , 16(3) : 443 -449 . DOI: 10.3724/SP.J.1047.2014.00443
[1] IPCC. Climate change 2007-the physical science basis: Working group I contribution to the fourth assessment report of the IPCC[M]. London:Cambridge University Press, 2007.
[2] Alexiadis A. Global warming and human activity: A model for studying the potential instability of the carbon dioxide/temperature feedback mechanism[J]. Ecological Modelling, 2007, 203(3):243-256.
[3] Ghommem M, Hajj M R, Puri I K. Influence of natural and anthropogenic carbon dioxide sequestration on global warming[J]. Ecological Modelling, 2012(235):1-7.
[4] Florides G A, Christodoulides P. Global warming and carbon dioxide through sciences[J]. Environment International, 2009,35(2):390-401.
[5] WMO, JMA. World Data Centre for Greenhouse Gases[EB/OL].(2001-07-02)[2013-05-06]. http://ds.data.jma.go. jp/gmd/wdcgg/index.html
[6] 石广玉,戴铁,徐娜.卫星遥感探测大气CO2浓度研究最新进展[J].地球科学进展,2010,25(1):7-13.
[7] Mao J, Kawa S R. Sensitivity studies for space-based measurement of atmospheric total column carbon dioxide by reflected sunlight[J]. Applied Optics, 2004,43(4):914-927.
[8] 戴铁,石广玉,漆成莉,等.风云三号气象卫星红外分光计探测大气CO2浓度的通道敏感性分析[J].气候与环境研究,2011,16(5):577-585.
[9] Strow L L, Hannon S E, Souza-Machado D, et al. An overview of the AIRS radiative transfer model[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003,41 (2):303-313.
[10] Strow L L, Hannon S E, Machado S D, et al. Validation of the Atmospheric Infrared Sounder radiative transfer algorithm[J]. Journal of Geophysical Research, 2006, 111(D9): 1-24.
[11] Saunders R, Matricardi M, Brunel P. An improved fast radiative transfer model for assimilation of satellite radiance observations[J]. Quarterly Journal of the Royal Meteorological Society, 1999,125(556):1407-1425.
[12] Matricardi M, Chevallier F, Kelly G, et al. An improved general fast radiative transfer model for the assimilation of radiance observations[J]. Quarterly Journal of the Royal Meteorological Society, 2004,130(596):153-173.
[13] Hocking J, Rayer P, Saunders R. RTTOV v10 Users Guide[R]. Darmstadt, Germany: EUMETSAT, 2010.
[14] 叶函函,王先华,吴军,等.二氧化碳浓度高精度反演的敏感性研究[J].大气与环境光学学报,2011,6(3):208.
[15] Chahine M, Barnet C, Olsen E T, et al. On the determination of atmospheric minor gases by the method of vanishing partial derivatives with application to CO2[J]. Geophysical Research Letters, 2005, 32.
[16] Crevoisier C, Chedin A, Scott N A. AIRS channel selection for CO2 and other trace-gas retrievals[J]. Quarterly Journal of the Royal Meteorological Society, 2003,129 (593):2719-2740.
[17] NOAA US,Force USA.US standard atmosphere, 1976[R]. NOAA-S/T,1976.
[18] Miller C E, Crisp D, DeCola P L, et al. Precision requirements for space-based XCO2 data[J]. Journal of Geophysical Research, 2007, 112.
[19] 高文华,赵凤生,盖长松.大气红外探测器(AIRS)温、湿度反演产品的有效性检验及在数值模式中的应用研究[J]. 气象学报,2006(3):271-280.
[20] Gambacorta A, Barnet C D. Methodology and information content of the NOAA NESDIS operational channel selection for the Cross-Track Infrared Sounder (CrIS)[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013,51(6):3207-3216.
[21] 邹铭敏,陈良富,陶金花,等.短波红外通道CO2观测的温度敏感性分析[J].红外与毫米波学报,2012,31(5):455-461.
/
| 〈 |
|
〉 |