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Data Publisher for Earth & Environmental Science

Mistry, Malcolm Noshir (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

Always quote citation above when using data! You can download the citation in several formats below.

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Abstract:
Users are recommended to consult the author (malcolm.mistry@unive.it / malmistry1977@gmail.com) for an updated version which includes more recent years.
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. Following HDIs are included:
(i) Apparent Temperature (AT) indoors: Deg Celsius
(ii) AT outdoors in shade, as defined by Australian Bureau of Meteorology (ABM) and National Oceanic and Atmospheric Administration (NOAA): Deg Celsius
(iii) Discomfort Index (DI): Unitless
(iv) Humidex (HDEX): Unitless
(v) Heat Index (HI): Deg Celsius
(vi) Wet Bulb Globe Temperature (WBGT), as defined by ABM and by Gagge and Nishi (1976): Unitless
(vii) Wet Bulb Temperature (WBT): Deg Celsius
(viii) Windchill Temperature (WCT): Deg Celsius
HDIs on daily timesteps covering years 1970-2018 are available as individual (annual) NetCDF-4 (.nc4) files. The files follow the naming convention 'gldas_HDI_daily_year.nc4'; wherein "HDI" is the abbreviation of the index (AT_indoors, AT_outdoor_shade_ABM, AT_out_shade_NOAA, DI, humidex, HI, wbgt_ABM, wbgt, wet_bulb or windchill_T), and "year" the time period over which the HDI are computed on daily timesteps. Some of the indices use two methodologies for computation as defined in literature (e.g. ABM, NOAA). These abbreviations are also included in the filenames and the details (units, attributes etc) can be checked using 'ncdump -h filename.nc4'.
In addition to individual HDI, the associated meteorological variables (referred to 'secondary variables') used to compile the HDIs are available upon request from the author. These variables (all on daily timesteps for the same period 1970-2018) include vapor pressure (vp), saturation vapor pressure (svp), vapor pressure deficit (vpd), relative humidity (rh). 'vpd' is actually not used in the computation of any of the HDI, but generated as an add-on variable using 'rh' and 'svp'.
Grid-cells with missing values are identified by "1.e+20f".
Important: GLDAS ver-2 comprises of two sub-versions (ver. 2.0 for period 1970-2010 and ver 2.1 for period 2000-present day). The HDIs computed using the input variables may show a break in time-series at a few locations around the years 2010-11. Users are therefore advised caution when using the data for trend analysis for instance. Further details on the merging of the two versions can be found below:
https://disc.gsfc.nasa.gov/information/faqs?title=Should%20I%20use%20GLDAS%20Version%202.0%20(GLDAS-2.0)%20or%20GLDAS%20Version%202.1%20(GLDAS-2.1)%3F
Keyword(s):
apparent temperature; discomfort indices; heat index; humidex; wbgt; windchill
Supplement to:
Mistry, Malcolm Noshir (2020): A High Spatiotemporal Resolution Global Gridded Dataset of Historical Human Discomfort Indices. Atmosphere, 11(8), 835, https://doi.org/10.3390/atmos11080835
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1 File nameFile nameMistry, Malcolm Noshir
2 File formatFile formatMistry, Malcolm Noshir
3 File sizeFile sizekByteMistry, Malcolm Noshir
4 Uniform resource locator/link to fileURL fileMistry, Malcolm Noshir
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
2000 data points

Data

Download dataset as tab-delimited text — use the following character encoding:

1 
File name		2 
File format		3 
File size [kByte]		4 
URL file
gldas_AT_indoors_daily_1970-2018.zipzip13825097gldas_AT_indoors_daily_1970-2018.zip
gldas_AT_indoors_daily_1970.nc4nc4285943gldas_AT_indoors_daily_1970.nc4
gldas_AT_indoors_daily_1971.nc4nc4286076gldas_AT_indoors_daily_1971.nc4
gldas_AT_indoors_daily_1972.nc4nc4286830gldas_AT_indoors_daily_1972.nc4
gldas_AT_indoors_daily_1973.nc4nc4286265gldas_AT_indoors_daily_1973.nc4
gldas_AT_indoors_daily_1974.nc4nc4285964gldas_AT_indoors_daily_1974.nc4
gldas_AT_indoors_daily_1975.nc4nc4286209gldas_AT_indoors_daily_1975.nc4
gldas_AT_indoors_daily_1976.nc4nc4287021gldas_AT_indoors_daily_1976.nc4
gldas_AT_indoors_daily_1977.nc4nc4285969gldas_AT_indoors_daily_1977.nc4
gldas_AT_indoors_daily_1978.nc4nc4286284gldas_AT_indoors_daily_1978.nc4
gldas_AT_indoors_daily_1979.nc4nc4286073gldas_AT_indoors_daily_1979.nc4
gldas_AT_indoors_daily_1980.nc4nc4286865gldas_AT_indoors_daily_1980.nc4
gldas_AT_indoors_daily_1981.nc4nc4286529gldas_AT_indoors_daily_1981.nc4
gldas_AT_indoors_daily_1982.nc4nc4286130gldas_AT_indoors_daily_1982.nc4
gldas_AT_indoors_daily_1983.nc4nc4286512gldas_AT_indoors_daily_1983.nc4
gldas_AT_indoors_daily_1984.nc4nc4286944gldas_AT_indoors_daily_1984.nc4
gldas_AT_indoors_daily_1985.nc4nc4286013gldas_AT_indoors_daily_1985.nc4
gldas_AT_indoors_daily_1986.nc4nc4286292gldas_AT_indoors_daily_1986.nc4
gldas_AT_indoors_daily_1987.nc4nc4286293gldas_AT_indoors_daily_1987.nc4
gldas_AT_indoors_daily_1988.nc4nc4286957gldas_AT_indoors_daily_1988.nc4
gldas_AT_indoors_daily_1989.nc4nc4286225gldas_AT_indoors_daily_1989.nc4
gldas_AT_indoors_daily_1990.nc4nc4286253gldas_AT_indoors_daily_1990.nc4
gldas_AT_indoors_daily_1991.nc4nc4286034gldas_AT_indoors_daily_1991.nc4
gldas_AT_indoors_daily_1992.nc4nc4287297gldas_AT_indoors_daily_1992.nc4
gldas_AT_indoors_daily_1993.nc4nc4286484gldas_AT_indoors_daily_1993.nc4
gldas_AT_indoors_daily_1994.nc4nc4285973gldas_AT_indoors_daily_1994.nc4
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gldas_AT_indoors_daily_2000.nc4nc4286940gldas_AT_indoors_daily_2000.nc4
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gldas_AT_indoors_daily_2018.nc4nc4284924gldas_AT_indoors_daily_2018.nc4
gldas_AT_out_shade_ABM_daily_1970-2018.zipzip13934245gldas_AT_out_shade_ABM_daily_1970-2018.zip
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gldas_AT_out_shade_ABM_daily_1992.nc4nc4289244gldas_AT_out_shade_ABM_daily_1992.nc4
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gldas_AT_out_shade_ABM_daily_1995.nc4nc4288333gldas_AT_out_shade_ABM_daily_1995.nc4
gldas_AT_out_shade_ABM_daily_1996.nc4nc4288841gldas_AT_out_shade_ABM_daily_1996.nc4
gldas_AT_out_shade_ABM_daily_1997.nc4nc4288241gldas_AT_out_shade_ABM_daily_1997.nc4
gldas_AT_out_shade_ABM_daily_1998.nc4nc4288007gldas_AT_out_shade_ABM_daily_1998.nc4
gldas_AT_out_shade_ABM_daily_1999.nc4nc4288175gldas_AT_out_shade_ABM_daily_1999.nc4
gldas_AT_out_shade_ABM_daily_2000.nc4nc4288910gldas_AT_out_shade_ABM_daily_2000.nc4
gldas_AT_out_shade_ABM_daily_2001.nc4nc4287883gldas_AT_out_shade_ABM_daily_2001.nc4
gldas_AT_out_shade_ABM_daily_2002.nc4nc4288113gldas_AT_out_shade_ABM_daily_2002.nc4
gldas_AT_out_shade_ABM_daily_2003.nc4nc4288093gldas_AT_out_shade_ABM_daily_2003.nc4
gldas_AT_out_shade_ABM_daily_2004.nc4nc4288819gldas_AT_out_shade_ABM_daily_2004.nc4
gldas_AT_out_shade_ABM_daily_2005.nc4nc4288016gldas_AT_out_shade_ABM_daily_2005.nc4
gldas_AT_out_shade_ABM_daily_2006.nc4nc4287980gldas_AT_out_shade_ABM_daily_2006.nc4
gldas_AT_out_shade_ABM_daily_2007.nc4nc4288202gldas_AT_out_shade_ABM_daily_2007.nc4
gldas_AT_out_shade_ABM_daily_2008.nc4nc4288960gldas_AT_out_shade_ABM_daily_2008.nc4
gldas_AT_out_shade_ABM_daily_2009.nc4nc4287908gldas_AT_out_shade_ABM_daily_2009.nc4
gldas_AT_out_shade_ABM_daily_2010.nc4nc4288026gldas_AT_out_shade_ABM_daily_2010.nc4
gldas_AT_out_shade_ABM_daily_2011.nc4nc4287382gldas_AT_out_shade_ABM_daily_2011.nc4
gldas_AT_out_shade_ABM_daily_2012.nc4nc4287882gldas_AT_out_shade_ABM_daily_2012.nc4
gldas_AT_out_shade_ABM_daily_2013.nc4nc4287118gldas_AT_out_shade_ABM_daily_2013.nc4
gldas_AT_out_shade_ABM_daily_2014.nc4nc4287295gldas_AT_out_shade_ABM_daily_2014.nc4
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gldas_AT_out_shade_NOAA_daily_2017.nc4nc4286933gldas_AT_out_shade_NOAA_daily_2017.nc4
gldas_AT_out_shade_NOAA_daily_2018.nc4nc4286584gldas_AT_out_shade_NOAA_daily_2018.nc4
gldas_DI_daily_1970-2018.zipzip13687777gldas_DI_daily_1970-2018.zip
gldas_DI_daily_1970.nc4nc4283584gldas_DI_daily_1970.nc4
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