Effective characterization of aerosols in the severe events using multi-channel measurements including polarization with GCOM-C/SGLI

Sonoyo Mukai; Itaru Sano; Makiko Nakata

doi:10.1117/12.2572560

20 September 2020 Effective characterization of aerosols in the severe events using multi-channel measurements including polarization with GCOM-C/SGLI

Sonoyo Mukai, Itaru Sano, Makiko Nakata

Author Affiliations +

Proceedings Volume 11531, Remote Sensing of Clouds and the Atmosphere XXV; 115310Q (2020) https://doi.org/10.1117/12.2572560
Event: SPIE Remote Sensing, 2020, Online Only

Conference Poster

Abstract

This work demonstrates the advantages of multi-channel measurements of SGLI loaded on the Japanese mission JAXA/GCOM-C (SIKISAI in Japanese) for aerosol retrieval in severe events of biomass burning aerosol (BBA). It has been shown in the previous work that the classification algorithms for aerosol types mainly used near-UV data are available to facilitate the subsequent aerosol retrieval. These algorithms for aerosol classification are expanded to the severe biomass burning events (BBAE) in this work. The SGLI has 19 channels from near-UV to thermal IR including polarization channels in the red (0.67 μm; named P1 band) and near-IR (0.86 μm; P2 band). Here the compatibility of polarization information and non-polarization one are examined, and effective use of both is made for aerosol characterization in severe biomass burning aerosol events (BBAE).

Citation Download Citation

Sonoyo Mukai, Itaru Sano, and Makiko Nakata "Effective characterization of aerosols in the severe events using multi-channel measurements including polarization with GCOM-C/SGLI", Proc. SPIE 11531, Remote Sensing of Clouds and the Atmosphere XXV, 115310Q (20 September 2020); https://doi.org/10.1117/12.2572560

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