the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
GloUTCI-M: A Global Monthly 1 km Universal Thermal Climate Index Dataset from 2000 to 2022
Abstract. Climate change has precipitated recurrent extreme events and emerged as an imposing global challenge, exerting profound and far-reaching impacts on both the environment and human existence. The Universal Thermal Climate Index (UTCI), serving as 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. However, the existing UTCI datasets still grapple with limitations in terms of data availability, hindering their effective application across diverse domains. We have produced the GloUTCI-M, a monthly UTCI dataset boasting global coverage, an extensive time series spanning from March 2000 to October 2022, and 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. Our findings underscore the superior predictive capabilities of CatBoost in forecasting UTCI (MAE = 0.747 °C, RMSE = 0.943 °C, R2 = 0.994) when compared to machine learning models such as XGBoost and LightGBM. Utilizing GloUTCI-M, the geographical boundaries of cold stress and thermal stress areas on a global scale were effectively delineated. Over the span of 2001 to 2021, the mean annual global UTCI registers at 17.24 °C, with a pronounced upward trend. Countries like Russia and Brazil emerge as key contributors to the mean annual global UTCI increase, while countries like China and India exert a more inhibitory influence on this trend. Furthermore, in contrast to existing UTCI datasets, GloUTCI-M excels at portraying UTCI distribution at finer spatial resolutions, augmenting data accuracy. This dataset enhances our capacity to evaluate thermal stress experienced by the human, offering substantial prospects across a wide array of applications. The GloUTCI-M is publicly available at https://doi.org/10.5281/zenodo.8310513 (Yang et al., 2023).
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Status: closed
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RC1: 'Comment on essd-2023-379', Anonymous Referee #1, 12 Dec 2023
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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.
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AC1: 'Reply on RC1', Jian Peng, 31 Jan 2024
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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.
-
AC2: 'Reply on RC2', Jian Peng, 31 Jan 2024
Status: closed
-
RC1: 'Comment on essd-2023-379', Anonymous Referee #1, 12 Dec 2023
-
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.
-
AC1: 'Reply on RC1', Jian Peng, 31 Jan 2024
-
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.
-
AC2: 'Reply on RC2', Jian Peng, 31 Jan 2024
Data sets
GloUTCI-M: A Global Monthly 1 km Universal Thermal Climate Index Dataset from 2000 to 2022 Zhiwei Yang, Jian Peng, and Yanxu Liu https://doi.org/10.5281/zenodo.8310513
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