A high spatiotemporal resolution global gridded dataset of historical (1970-2018) human discomfort Indices based on GLDAS data
Mistry, MN
(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
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, WindchillItem Type | Dataset |
---|---|
Capture method | Unknown |
Date | 2019 |
Language(s) of written materials | English |
Creator(s) |
Mistry, MN |
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 | 09 Feb 2024 14:41 |
Publisher | PANGAEA |
Explore Further
- Data record - PANGAEA (Online Data Resource)
No files available. Please consult associated links.
- Data record - PANGAEA (Online Data Resource)
Downloads
ORCID: https://orcid.org/0000-0003-3345-6197