Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 14, issue 12
Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5651-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-5651-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 12
Data description paper
 | 
21 Dec 2022
Data description paper |  | 21 Dec 2022

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

Jianquan Dong, Stefan Brönnimann, Tao Hu, Yanxu Liu, and Jian Peng

Viewed

Total article views: 4,049 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,797 1,131 121 4,049 329 127 152
  • HTML: 2,797
  • PDF: 1,131
  • XML: 121
  • Total: 4,049
  • Supplement: 329
  • BibTeX: 127
  • EndNote: 152
Views and downloads (calculated since 09 Sep 2022)
Cumulative views and downloads (calculated since 09 Sep 2022)

Viewed (geographical distribution)

Total article views: 4,049 (including HTML, PDF, and XML) Thereof 3,878 with geography defined and 171 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 19 Dec 2025
Download
Short summary
We produced a new dataset of global station-based daily maximum wet-bulb temperature (GSDM-WBT) through the calculation of wet-bulb temperature, data quality control, infilling missing values, and homogenization. The GSDM-WBT covers the complete daily series of 1834 stations from 1981 to 2020. The GSDM-WBT dataset handles stations with many missing values and possible inhomogeneities, which could better support the studies on global and regional humid heat events.
Read more
Share
Altmetrics
Final-revised paper
Preprint