A high spatiotemporal resolution global gridded dataset of historical (1970-2018) human discomfort Indices based on GLDAS data

Mistry, MNORCID logo (2019). A high spatiotemporal resolution global gridded dataset of historical (1970-2018) human discomfort Indices based on GLDAS data. [Dataset]. PANGAEA. https://doi.org/10.1594/PANGAEA.904282
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The human discomfort indices (HDIs) are computed using meteorological parameters from the Global Land Data Acquisation System (GLDAS) ver. 2 (@ 0.25 degree global gridded resolution). The dataset referred to as "HDI_0p25_1970_2018" covers 49 years over the period 1970-2018.

Keywords

Apparent temperature; Discomfort indices; Heat index; Humidex; wbgt; Windchill

Item Type Dataset
Resource Type
Resource Type
Resource Description
Dataset
Quantitative
Capture method Unknown
Date 2019
Language(s) of written materials English
Creator(s) Mistry, MNORCID logo
LSHTM Faculty/Department Faculty of Public Health and Policy > Dept of Health Services Research and Policy
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom
Date Deposited 07 Aug 2021 11:13
Last Modified 10 Feb 2026 15:28
Publisher PANGAEA

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