Global near real‐time daily apparent temperature and heat wave dataset. Issue 2 (16th May 2022)

• Record Type: Journal Article
• Authors: Yin, Cong; Yang, Yaping; Chen, Xiaona; Yue, Xiafang; Liu, Yangxiaoyue; Xin, Ying
• Is Part Of: Geoscience data journal. Volume 10:Issue 2(2023)
• Page Start: 231
• Page End: 245
• Publication Date: 2022-05-16
• Subjects: Earth sciences -- Research -- Periodicals; Earth sciences -- Data processing -- Periodicals; Earth sciences -- Documentation -- Periodicals; 550.28557
• DOI: 10.1002/gdj3.155
• Languages: English
• ISSNs: 2049-6060

Abstract

Abstract: Temperature is the most concerned factor in the human–environment interactions. Apparent temperature accounting for other meteorological variables, such as humidity, wind speed and solar radiation, is the equivalent temperature, and it is a more accurate indicator to reflect human's environmental temperature perception. High‐quality apparent temperature data are urgently needed for the further research on human–environment interactions. At the same time, as global heat waves continue to increase in frequency, duration and intensity, understanding the impact of heat waves on human health needs human perception‐based heat wave data. Using ERA5 hourly data on single levels of 2 m temperature, wind speed, dewpoint temperature and solar radiation, this study developed a global apparent temperature and heat wave (GATHW) toolbox based on the Climate Data Store (CDS) online platform. This toolbox allows using three methods to calculate daily apparent temperature and heat wave at three spatial resolutions of 0.25°, 0.5° and 1° respectively. It can realize online calculation, display and real‐time download and is updated in near real‐time. The global daily apparent temperature and annual heat wave dataset from 2006 to 2020 calculated by the toolbox can be obtained from https://www.doi.org/10.5281/zenodo.4764325 . After evaluation, this dataset can well reflect the typical extreme temperatures and heat wave events, and is more accurate, with higher resolution and faster update frequency than similar data products, which can provide data support for the study of human–environmental interactions and extreme climate events. Abstract : Technical route for data production.