GSDM-WBT: global  station-based daily maximum wet-bulb temperature data for 1981–2020

Dong, Jie; Brönnimann, Stefan; Hu, Tao; Liu, Yanxu; Peng, Jian

doi:10.5194/essd-14-5651-2022

Cited by 5 publications

(2 citation statements)

References 55 publications

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“…It is derived from a variety of sources, including weather station observations, satellite measurements, and reanalysis models. Daily maximum T w at 1834 stations that had passed quality control and been homogenized were obtained from the global station-based daily maximum wet-bulb temperature (GSDM-WBT) data provided by Dong et al 86 . Specific humidity and air temperature at 2 meters from the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA2) 87 were adopted to calculate E a and T w .…”

Section: Methodsmentioning

confidence: 99%

Uniformly elevated future heat stress in China driven by spatially heterogeneous water vapor changes

Wang,

Gao,

Liu

et al. 2024

Nat Commun

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The wet bulb temperature (Tw) has gained considerable attention as a crucial indicator of heat-related health risks. Here we report south-to-north spatially heterogeneous trends of Tw in China over 1979-2018. We find that actual water vapor pressure (Ea) changes play a dominant role in determining the different trend of Tw in southern and northern China, which is attributed to the faster warming of high-latitude regions of East Asia as a response to climate change. This warming effect regulates large-scale atmospheric features and leads to extended impacts of the South Asia high (SAH) and the western Pacific subtropical high (WPSH) over southern China and to suppressed moisture transport. Attribution analysis using climate model simulations confirms these findings. We further find that the entire eastern China, that accommodates 94% of the country’s population, is likely to experience widespread and uniform elevated thermal stress the end of this century. Our findings highlight the necessity for development of adaptation measures in eastern China to avoid adverse impacts of heat stress, suggesting similar implications for other regions as well.

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Section: Methodsmentioning

confidence: 99%

Uniformly elevated future heat stress in China driven by spatially heterogeneous water vapor changes

Wang,

Gao,

Liu

et al. 2024

Nat Commun

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“…Several datasets encompassing human comfort indices have been produced for global or localized domains (Zhang et al, 2023a;Dong et al, 2022). However, there is a notable dearth of datasets dedicated to UTCI, which hinders in-depth research and the application of UTCI.…”

Section: Introductionmentioning

confidence: 99%

GloUTCI-M: A Global Monthly 1 km Universal Thermal Climate Index Dataset from 2000 to 2022

Yang,

Peng,

Liu

et al. 2023

Preprint

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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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Urban-rural differences in the local human exposure to humid heatwaves in the Northern Hemisphere

Dong,

Hu,

Liu

et al. 2024

Sustainable Cities and Society

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GSDM-WBT: global station-based daily maximum wet-bulb temperature data for 1981–2020

Cited by 5 publications

References 55 publications

Uniformly elevated future heat stress in China driven by spatially heterogeneous water vapor changes

Uniformly elevated future heat stress in China driven by spatially heterogeneous water vapor changes

GloUTCI-M: A Global Monthly 1 km Universal Thermal Climate Index Dataset from 2000 to 2022

Urban-rural differences in the local human exposure to humid heatwaves in the Northern Hemisphere

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