Mistry, MN. 2019. A high spatiotemporal resolution global gridded dataset of historical (1970-2018) human discomfort Indices based on GLDAS data. [Online]. PANGAEA. Available from: https://doi.org/10.1594/PANGAEA.904282
Mistry, MN. A high spatiotemporal resolution global gridded dataset of historical (1970-2018) human discomfort Indices based on GLDAS data [Internet]. PANGAEA; 2019. Available from: https://doi.org/10.1594/PANGAEA.904282
Mistry, MN (2019). A high spatiotemporal resolution global gridded dataset of historical (1970-2018) human discomfort Indices based on GLDAS data. [Data Collection]. PANGAEA. https://doi.org/10.1594/PANGAEA.904282
Description
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
| Data capture method | Unknown |
|---|---|
| Date (Date published in a 3rd party system) | 2019 |
| Language(s) of written materials | English |
| Data Creators | Mistry, MN |
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| 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 |
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| Last Modified | 09 Feb 2024 14:41 |
| Publisher | PANGAEA |
