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

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

doi:https://doi.org/10.5194/essd-14-5651-2022

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

Supplement

https://doi.org/10.5194/essd-14-5651-2022-supplement

Data sets

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 https://doi.org/10.5281/zenodo.7014332

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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.