Global hourly, 5&thinsp;km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data

Jia, Aolin; Liang, Shunlin; Wang, Dongdong; Ma, Lei; Wang, Zhihao; Xu, Shuo

doi:https://doi.org/10.5194/essd-15-869-2023

Articles | Volume 15, issue 2

https://doi.org/10.5194/essd-15-869-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-15-869-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 2

Data description paper

|

16 Feb 2023

Data description paper |

| 16 Feb 2023

Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data

Aolin Jia, Shunlin Liang, Dongdong Wang, Lei Ma, Zhihao Wang, and Shuo Xu

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Final revised paper (published on 16 Feb 2023)
Preprint (discussion started on 23 Aug 2022)

Interactive discussion

Status: closed

RC1: 'Comment on essd-2022-284', Anonymous Referee #1, 30 Sep 2022

Dear authors,

Please find my comments in the attached pdf.

Best regards,

João Martins

Citation: https://doi.org/10.5194/essd-2022-284-RC1
RC2:
'Comment on essd-2022-284', Anonymous Referee #2, 04 Oct 2022
The authors refined the SEB-based cloudy-sky LST recovery method and produced a global 15 hourly, 5 km, all-sky land surface temperature (GHA-LST) dataset from 2011 to 2021.

Overall, the topic is interesting and relevant to ESSD. I have some major concerns as follows:

In my opinion, data description paper not only provide data generation (methods, technological process and data availability) but also data usage (quality control, limitation, and so on). Although most similar studies didn’t provide related explanation, it is very important for data description paper.

The Swath MOD/MYD21 LSTs are used for recovery. As we know, LSTs can vary between the viewing zenith angle and acquisition time. The differences in LST measured at nadir and off-nadir can be up to 5–10 K. This effect must also be considered for the GHA-LST dataset.

I had downloaded the dataset and found some outliers. Therefore, a comprehensive discussion is needed.
Citation: https://doi.org/10.5194/essd-2022-284-RC2
AC1: 'Comment on essd-2022-284', Aolin Jia, 03 Jan 2023

Dear all,
Please find the response letter attached.
Best,
Aolin

Citation: https://doi.org/10.5194/essd-2022-284-AC1

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload

AR by Aolin Jia on behalf of the Authors (03 Jan 2023) Author's response Author's tracked changes Manuscript

ED: Referee Nomination & Report Request started (21 Jan 2023) by Hao Shi

RR by Anonymous Referee #2 (29 Jan 2023)

RR by Joao Martins (01 Feb 2023)

ED: Publish as is (01 Feb 2023) by Hao Shi

AR by Aolin Jia on behalf of the Authors (01 Feb 2023)

Short summary

Satellites are now producing multiple global land surface temperature (LST) products; however, they suffer from data gaps caused by cloud cover, seriously restricting the applications, and few products provide gap-free global hourly LST. We produced global hourly, 5 km, all-sky LST data from 2011 to 2021 using geostationary and polar-orbiting satellite data. Based on the assessment, it has high accuracy and can be used to estimate evapotranspiration, drought, etc.