Evaluation of cloud effects on air temperature estimation using MODIS LST
based on ground measurements over the Tibetan Plateau

Zhang, Hongbo; Zhang, Fan; Zhang, Guoqing; He, Xiaobo; Tian, Lide

doi:https://doi.org/10.5194/acp-16-13681-2016

Articles | Volume 16, issue 21

https://doi.org/10.5194/acp-16-13681-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-16-13681-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 21

Research article

|

04 Nov 2016

Research article |

| 04 Nov 2016

Evaluation of cloud effects on air temperature estimation using MODIS LST based on ground measurements over the Tibetan Plateau

Hongbo Zhang, Fan Zhang, Guoqing Zhang, Xiaobo He, and Lide Tian

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Final revised paper (published on 04 Nov 2016)
Preprint (discussion started on 23 Aug 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Evaluation of cloud effects on air temperature estimation using MODIS LST based on ground measurements over the Tibetan Plateau', Anonymous Referee #1, 25 Sep 2016
- AC1: 'response to Anonymous Referee #1', Hongbo Zhang, 20 Oct 2016
RC2: 'Comments', Anonymous Referee #2, 25 Sep 2016
- AC2: 'response to Anonymous Referee #2', Hongbo Zhang, 20 Oct 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Hongbo Zhang on behalf of the Authors (21 Oct 2016) Author's response Manuscript

ED: Publish as is (24 Oct 2016) by Jianping Huang

AR by Hongbo Zhang on behalf of the Authors (24 Oct 2016)

Short summary

Based on MODIS LST, clouds are believed to affect T_air estimation; however, understanding of the cloud effect on the T_air–LST relationship remains limited. Our paper reveals the subtle influence of clouds that affects T_min and T_max estimation in clearly different ways. The results contribute to better understanding of cloud effects and more accurate estimation of T_air using satellite LST.