DOI: 10.5281/zenodo.4764325
title: Global near real-time daily apparent temperature and heat wave dataset (2006-2020)

description: Temperature is the most concerned factor in the human-environment ecological processes. Apparent temperature is the equivalent temperature perceived by human body, and it is the most accurate indicator to reflect human's environmental temperature perception. High quality apparent temperature data is urgently needed for the further research on human-environment ecological processes. 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 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 of apparent temperature and heat wave data, and is update 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 the National Qinghai Tibet Plateau Scientific Data Centre of China (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 ecological processes and extreme climate events.
description: File name: apparent temperature data is stored in NetCDF format, and heat wave data is stored in TIFF format. Apparent temperature data file name, such as AT_1_mean_TD_C_0.25_2010.nc, AT represents apparent temperature, 1 and mean represent the frequency and method of resampling hourly data into daily data, TD represents the calculation method of apparent temperature, C represents the unit of ℃, 0.25 is the spatial resolution, 2010 is the year; Heat wave data file name, such as HWF_1_mean_TD_CT_29_85_3_C_0.25_2010_summer.tif, HWF represents heat wave frequency, 1 and mean represent the frequency and method of resampling hourly data into daily data, TD represents the calculation method of apparent temperature, CT represents the calculation method of heat wave, 29 and 85 represents high temperature threshold, 3 represents duration threshold, C represents the unit of ℃, 0.25 is the spatial resolution, 2010_summer is the time period. Data reading mode: NetCDF and TIFF format data can be opened and viewed by ArcGIS, and can also be easily processed by xarray, netcdf4, GDAL and other third-party libraries. This research was funded by Second Tibetan Plateau Scientific Expedition and Research Program (2019QZKK09), National Earth System Science Data Sharing Infrastructure (2005DKA32300) and Branch Center Project of Geography, Resources and Ecology of Knowledge Center for Chinese Engineering Sciences and Technology (CKCEST-2021-2-10).