Abstract
Aerosol plays an important role in global climate change and environment depravation, which influences the earth radiation balance through direct forcing and indirect forcing. The uncertainty of aerosol in global climate prediction is one of the most important and difficult issue in the aerosol research field. With the development of earth observation satellites and their observated data, it’s very important to improve the aerosol retrieval precision and the suitable algorithm. For the influence of the Asia continent, the remote sensing of aerosol distribution is complicated in this area. An iterative algorithm is presented in this study for simultaneous determination of the aerosol optical depth. Centered with the research of East China sea (especially over Bo and Yellow sea) aerosol optical depth distributing, our conclusion is listed as follows: With the MODIS data we implemented the aerosol retrieval with the improved algorithm and the AOD distribution over East China sea was analyzed. In total, there is the larger retrieval value over ocean due to the impact of the coastal turbid seawater and water leaving radiance, and as a result of lacking the imputing parameters in the area; there isn’t the suitable arithmetic to improve the AOD retrieval quality yet.
All authors have used the western naming convention, with given names preceding surnames.
References
WMO: Aerosol measurement procedures guidelines and reeommendations, No. 153. World Meteorological Organization, Geneva, pp. 24–37 (2003)
WMO: Strategy for the implementation of the global atmosphere water programme (2001~2007, No. 142. World Meteorological Organization, Geneva, pp. 43–45 (2001)
Holben, B.N., EeK, T.F., Slutsker, I., et al.: A federated instrument network and data archive for aerosol characterization. Remote Sens. Environ. 66, 1–16 (2001)
Holben, B.N., Tanre, D., Smironv, A., et al.: An emerging fround-based aerosol climatology aerosol optical depth from AERONET. J. Geophys. Res. 106, 12067–12098 (2001)
Bolin, Z., Wang, Q., Mao, J., et al.: Study on atmospheric aerosol and vapor with optical remote sensing. Chin. Sci. 10, 951–962 (1983)
Luo, Y.F., Lv, D.R., Zhou, X.J., et al.: Analyses on the spatial distribution of aerosol optical depth over China in recent 30 years. Chin. J. Atmos. Sci. 26(6), 722–730 (2002)
Dong, H., Liu, Y., Guan, Z., et al.: Validation of MODIS aerosol optical depth retrievals over East China Sea. J. Nanjing Inst. Meteorol. 29(3), 335–342 (2007)
Xu, X.: Charaeteristies of aerosol optical properties in China. Nanjing University of Information Science & Technology, Nanjing 6 (2008)
Griggs, M.: Measurement of atmospheric aerosol optical thickness over water using ERTS-l data. Air Pollut. Contr. Assoc. 25, 622–626 (1975)
Stowe, L.L., Carey, R.M., Pellegrino, P.P.: Monitoring the Mt. Pinatubo aerosol layer with NOAA/11 AVHRR data. Geophys. Res. Lett. 19, 159–162 (1992)
Long, C.S., Stowe, L.L.: Using the NOAA/AVHRR to study stratospheric aerosol optical thickness following the Mt. Pinatubo eruption. Geophys. Res. Lett. 21, 2215–2218 (1994)
Husar, R.B., Prospero, J.M., Stowe, L.L.: Characterization of tropospheric aerosols over the oceans with the NOAA advanced very high resolution radiometer optical thickness operational product. J. Geophys. Res. 102, 16889–16909 (1997)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
Copyright information
© 2016 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, Y., Xiang, J., Zhou, Z. (2016). Retrieval of Atmospheric Aerosol Optical Depth with an Improved Algorithm Over East China Sea. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_37
Download citation
DOI: https://doi.org/10.1007/978-3-662-49155-3_37
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-49154-6
Online ISBN: 978-3-662-49155-3
eBook Packages: Computer ScienceComputer Science (R0)