GloUTCI-M: a global monthly 1&thinsp;km Universal Thermal Climate Index dataset from 2000 to 2022

Yang, Zhiwei; Peng, Jian; Liu, Yanxu; Jiang, Song; Cheng, Xueyan; Liu, Xuebang; Dong, Jianquan; Hua, Tiantian; Yu, Xiaoyu

doi:https://doi.org/10.5194/essd-16-2407-2024

Articles | Volume 16, issue 5

https://doi.org/10.5194/essd-16-2407-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-16-2407-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 5

Data description paper

|

22 May 2024

Data description paper |

| 22 May 2024

GloUTCI-M: a global monthly 1 km Universal Thermal Climate Index dataset from 2000 to 2022

Zhiwei Yang, Jian Peng, Yanxu Liu, Song Jiang, Xueyan Cheng, Xuebang Liu, Jianquan Dong, Tiantian Hua, and Xiaoyu Yu

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Final revised paper (published on 22 May 2024)
Preprint (discussion started on 04 Dec 2023)

Interactive discussion

Status: closed

RC1:
'Comment on essd-2023-379', Anonymous Referee #1, 12 Dec 2023

Please see the attached file.

Citation: https://doi.org/10.5194/essd-2023-379-RC1
- AC1: 'Reply on RC1', Jian Peng, 31 Jan 2024
  
  Thanks for your comments on our paper.
  We have revised the manuscript based on your comments and suggestions. These comments are valuable and helpful in revising and improving our paper, as well as providing important guidance for our research.
  Please see the attached file.
  
  Citation: https://doi.org/10.5194/essd-2023-379-AC1
RC2:
'Comment on essd-2023-379', Anonymous Referee #2, 19 Dec 2023

The Universal Thermal Climate Index (UTCI), an important approach to human comfort assessment, plays a pivotal role in gauging how the human adapts to meteorological conditions and copes with thermal and cold stress. The study developed an interesting Global Monthly 1 km Universal Thermal Climate Index Dataset from 2000 to 2022. The study's structure and analysis are good, and the limitations and uncertainty are discussed. I like the study and there are no more comments. I only have a suggestion in the introduction part. you can describe more details to state your argument to develop this dataset. explain more about why you use XGBoost, LightGBM, and CatBoost. Why China and India exert a more inhibitory influence on this trend?

Citation: https://doi.org/10.5194/essd-2023-379-RC2
- AC2: 'Reply on RC2', Jian Peng, 31 Jan 2024
  
  Thanks for your comments on our paper.
  We have revised the manuscript based on your comments and suggestions. These comments are valuable and helpful in revising and improving our paper, as well as providing important guidance for our research.
  Please see the attached file.
  
  Citation: https://doi.org/10.5194/essd-2023-379-AC2

Peer review completion

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

AR by Jian Peng on behalf of the Authors (02 Feb 2024) Author's response

EF by Polina Shvedko (06 Feb 2024) Manuscript Author's tracked changes

ED: Referee Nomination & Report Request started (28 Feb 2024) by Xuecao Li

RR by Anonymous Referee #2 (29 Feb 2024)

RR by Anonymous Referee #1 (05 Mar 2024)

ED: Publish as is (21 Mar 2024) by Xuecao Li

AR by Jian Peng on behalf of the Authors (10 Apr 2024) Manuscript

Short summary

We produced a monthly Universal Thermal Climate Index dataset (GloUTCI-M) boasting global coverage and an extensive time series spanning March 2000 to October 2022 with a high spatial resolution of 1 km. This dataset is the product of a comprehensive approach leveraging multiple data sources and advanced machine learning models. GloUTCI-M can enhance our capacity to evaluate thermal stress experienced by the human, offering substantial prospects across a wide array of applications.

GloUTCI-M: a global monthly 1 km Universal Thermal Climate Index dataset from 2000 to 2022

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Interactive discussion

Peer review completion

Suggestions for revision or reasons for rejection

Suggestions for revision or reasons for rejection