The successive scattering in radiative transfer theory and its application for aerosol retrieval

Sonoyo Mukai; Takuma Yokomae; Itaru Sano; Makiko Nakata

doi:10.1117/12.897862

19 October 2011 The successive scattering in radiative transfer theory and its application for aerosol retrieval

Sonoyo Mukai, Takuma Yokomae, Itaru Sano, Makiko Nakata

Proceedings Volume 8177, Remote Sensing of Clouds and the Atmosphere XVI; 81770F (2011) https://doi.org/10.1117/12.897862
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

Retrieval of atmospheric aerosol characteristics from satellite data, i.e. aerosol remote sensing, is based on the light scattering theory. The aerosol properties are estimated by comparing satellite measurements with the numerical values of radiation simulations in the Earth atmosphere model. This study was designed to develop an efficient algorithm to retrieve aerosol characteristics in aerosol events, which are associated with extreme concentrations of aerosols in the atmosphere such as a yellow-sand storm. It is known that the large increase in the optical thickness of the atmosphere during aerosol events prevents the use of sun/sky photometry from the surface level. However, space-based observations are possible for monitoring the atmospheric aerosols during such events. This study focuses on new algorithms being used to detect the event core with a high optical thickness and a simulation scheme for radiative transfer in the dense radiation field being employed. Finally, the practical application of our algorithms was tested using Aqua/MODIS data for a yellow-sand storm.

Citation Download Citation

Sonoyo Mukai, Takuma Yokomae, Itaru Sano, and Makiko Nakata "The successive scattering in radiative transfer theory and its application for aerosol retrieval", Proc. SPIE 8177, Remote Sensing of Clouds and the Atmosphere XVI, 81770F (19 October 2011); https://doi.org/10.1117/12.897862

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available