Journal of Geo-information Science >
Study on the Retrieval of Fine Mode Aerosol Optical Depth and Size Distribution Using Polarized Signal
Received date: 2011-12-31
Revised date: 2012-07-27
Online published: 2012-08-22
Supported by
null
The remote sensing of microphysical and optical properties of fine mode aerosol has gain most attention in both environmental and climatological fields. Aerosol retrieval over land is confronted with two difficulties: selecting the aerosol type and taking out of the surface contribute. As the polarized light reflected by ground targets is small and stable enough to allow for correction in TOA measurements, polarization remote sensing has unique predominance and potential. Based on the directional polarization method, the fine mode aerosol optical depths and size distributions are retrieved using PARASOL Level 1B data through vector radiative transfer model and semi empirical surface polarized reflectance model. Aerosol model selecting is a key factor in the work of aerosol retrieval, so importing local aerosol model is essential in our work. Compared with the products of the ground-based AERONET, the precision of fine mode aerosol optical depth retrieving is bigger than 81% and size distribution retrieving needs to be improved. The results show that the directional polarization method is more accurate for the retrieval of fine mode aerosol and more stable in different seasons and different types of land surfaces. As aerosols over land are mostly composed of fine modes and coarse modes, we need farther study on the aerosol retrieval, such as importing scalar signal to vector method considering the different instrument characteristics and retrieval strategies of scalar and vector methods.
Key words： remote sensing; polarization; fine mode aerosol; size distribution
JIANG Zhe, CHEN Liangfu, Wang Zhongting . Study on the Retrieval of Fine Mode Aerosol Optical Depth and Size Distribution Using Polarized Signal[J]. Journal of Geo-information Science, 2012 , 14(4) : 460 -464 . DOI: 10.3724/SP.J.1047.2012.00460
[1] 任希岩,吉东生,王跃思,等. 北京大气细粒子及其成分的浓度变化特征[J].地球信息科学,2008,10(4):426-429.
[2] 王中挺. 陆地气溶胶的多角度偏振遥感研究. 北京:中国科学院遥感应用研究所,2008.
[3] Herman M, Deuzé J L, Devaux C, et al. Remote sensing of aerosols over land surfaces including polarization measurements and application to POLDER measurements[J]. J. Geophys. Res., 1997, 102(D14), 17039-17049.
[4] Deuzé J L, et al. Remote sensing of aerosols over land surfaces from POLDER-ADEOS 1 polarized measurements[J]. J. Geophys. Res., 2001, 1069(D5), 4913-4926.
[5] Sano I. Optical thickness and Ångström exponent of aerosols over the land and ocean from space-borne polarimetric data[J]. Adv. Space Res., 2004, 34, 833-837.
[6] 韩志刚. 草原上空对流层气溶胶特性的卫星偏振遥感——正问题模式系统和反演初步试验. 北京:中国科学院大气物理研究所,1999.
[7] Fan X H, Goloub P H, Deuzé J L, et al. Evaluation of PARASOL aerosol retrieval over North East Asia[J]. Rem. Sens Env., 2008, 112 (3), 697-707.
[8] Evans K F and Stephens G L. A New Polarized Atmospheric Radiative Transfer Model[J]. J. Quant. Spectrosc. Radiat. Transfer, 1991, 46(5), 413-423.
[9] Dubovik O, Smirnov A, Holben B N, et al. Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements[J]. J Geophys Res, 2000, 105: 9791-9806.
[10] Holben B N,Eck T F,Slutsker I, et al. AERONET-A federated instrument network and data archive for aerosol characterization[J]. Remote Sensing of the Environment, 1998, 66(1): 1-16.
[11] Nadal F and Bréon F M. Parameterization of surface polarized reflectance derived from POLDER space borne measurements[J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(3), 1709-1718.
[12] Remer L A, Kaufman Y J, Holben B N, et al. Biomass burning aerosol size distribution and modeled optical properties[J]. J Geophys Res, 1998, 103: 31879-31891.
[13] Fan X H, Goloub P H, Deuzé J L, et al. Evaluation of PARASOL aerosol retrieval over North East Asia[J]. Remote Sensing of Environment, 2008, 112 (3): 697-707.
[14] Mishchenko M I, Travis L D. Satellite retrieval of aerosol properties over the ocean using polarization as well as intensity of reflected sunlight[J]. J. Geophys. Res., 1997, 102: 16989-17013.
[15] Diner D J, Chipman R A, Beaudyr N, et al. An integrated multiangle, multispectral, and polarimetric imagin concept for aerosol remote sensing from space. Proc.SPIE, 2005, 5659:88-96.
/
| 〈 |
|
〉 |