Detection of absorbing aerosol using single near-UV radiance measurements from a cloud and aerosol imager

Sujung Go, Mijin Kim, Jhoon Kim, Sang Seo Park, Ukkyo Jeong, Myungje Choi

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


The Ultra-Violet Aerosol Index (UVAI) is a practical parameter for detecting aerosols that absorb UV radiation, especially where other aerosol retrievals fail, such as over bright surfaces (e.g., deserts and clouds). However, typical UVAI retrieval requires at least two UV channels, while several satellite instruments, such as the Thermal And Near infrared Sensor for carbon Observation Cloud and Aerosol Imager (TANSO-CAI) instrument onboard a Greenhouse gases Observing SATellite (GOSAT), provide single channel UV radiances. In this study, a new UVAI retrieval method was developed which uses a single UV channel. A single channel aerosol index (SAI) is defined to measure the extent to which an absorbing aerosol state differs from its state with minimized absorption by aerosol. The SAI qualitatively represents absorbing aerosols by considering a 30-day minimum composite and the variability in aerosol absorption. This study examines the feasibility of detecting absorbing aerosols using a UV-constrained satellite, focusing on those which have a single UV channel. The Vector LInearized pseudo-spherical Discrete Ordinate Radiative Transfer (VLIDORT) was used to test the sensitivity of the SAI and UVAI to aerosol optical properties. The theoretical calculations showed that highly absorbing aerosols have a meaningful correlation with SAI. The retrieved SAI from OMI and operational OMI UVAI were also in good agreement when UVAI values were greater than 0.7 (the absorption criteria of UVAI). The retrieved SAI from the TANSO-CAI data was compared with operational OMI UVAI data, demonstrating a reasonable agreement and low rate of false detection for cases of absorbing aerosols in East Asia. The SAI retrieved from TANSO-CAI was in better agreement with OMI UVAI, particularly for the values greater than the absorbing threshold value of 0.7.

Original languageEnglish
Article number378
JournalRemote Sensing
Issue number4
Publication statusPublished - 2017 Apr 1

Bibliographical note

Publisher Copyright:
© 2017 by the authors.

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)


Dive into the research topics of 'Detection of absorbing aerosol using single near-UV radiance measurements from a cloud and aerosol imager'. Together they form a unique fingerprint.

Cite this