A global long-term (1981–2000) land surface temperature product for NOAA AVHRR

Ma, Jin; Zhou, Ji; Göttsche, Frank-Michael; Liang, Shunlin; Wang, Shaofei; Li, Mingsong

doi:https://doi.org/10.5194/essd-12-3247-2020

Articles | Volume 12, issue 4

https://doi.org/10.5194/essd-12-3247-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-12-3247-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 4

Data description paper

|

09 Dec 2020

Data description paper |

| 09 Dec 2020

A global long-term (1981–2000) land surface temperature product for NOAA AVHRR

Jin Ma, Ji Zhou, Frank-Michael Göttsche, Shunlin Liang, Shaofei Wang, and Mingsong Li

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Final revised paper (published on 09 Dec 2020)
Preprint (discussion started on 07 Aug 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'review comments', Anonymous Referee #1, 17 Aug 2020
- AC1: 'Response to Referee 1', Jin Ma, 28 Sep 2020
SC1: 'Uncertainty Sources', Andreas Baumann, 21 Aug 2020
- AC2: 'Response to Short comment 1', Jin Ma, 28 Sep 2020
RC2: 'Comments to essd-2020-143', Anonymous Referee #2, 03 Sep 2020
- AC3: 'Response to referee 2', Jin Ma, 28 Sep 2020

Peer-review completion

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

AR by Jin Ma on behalf of the Authors (06 Oct 2020) Author's response Manuscript

ED: Publish as is (24 Oct 2020) by Ge Peng

Short summary

Land surface temperature is an important parameter in the research of climate change and many land surface processes. This article describes the development and testing of an algorithm for generating a consistent global long-term land surface temperature product from 20 years of NOAA AVHRR radiance data. The preliminary validation results indicate good accuracy of this new long-term product, which has been designed to simplify applications and support the scientific research community.