Improving satellite-retrieved aerosol microphysical properties using GOCART data

Li, S.; Kahn, R.; Chin, M.; Garay, M. J.; Liu, Y.

doi:https://doi.org/10.5194/amt-8-1157-2015

Articles | Volume 8, issue 3

https://doi.org/10.5194/amt-8-1157-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-8-1157-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 3

Research article

|

09 Mar 2015

Research article |

| 09 Mar 2015

Improving satellite-retrieved aerosol microphysical properties using GOCART data

S. Li, R. Kahn, M. Chin, M. J. Garay, and Y. Liu

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Final revised paper (published on 09 Mar 2015)
Supplement to the final revised paper
Preprint (discussion started on 01 Sep 2014)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C3522: 'Review of “Improving satellite retrieved aerosol microphysical properties using GOCART data” by Li et al.', Anonymous Referee #2, 05 Nov 2014
- AC C4733: 'Response to reviewer comments', Yang Liu, 26 Jan 2015
RC C3764: 'Interactive comment on “Improving satellite retrieved aerosol microphysical properties using GOCART data” by S. Li et al.', Xiaozhen Xiong, 18 Nov 2014
- AC C4734: 'Response to reviewer comments', Yang Liu, 26 Jan 2015

Short summary

We demonstrate a post-processing technique to improve MISR-retrieved aerosol optical properties when information content is low. By filtering the list of aerosol mixtures that pass the MISR retrieval acceptance criteria using pre-defined discrepancy thresholds between MISR and GOCART model simulations, the adjusted MISR Angstrom exponent (ANG) and absorbing AOD (AAOD) agree significantly better with sun-photometer validation data, especially when AOD<0.2 for ANG and AOD<0.5 for AAOD.