2022
DOI: 10.1088/1748-9326/ac7fa9
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North Eurasian thermal comfort indices dataset (NETCID): new gridded database for the biometeorological studies

Abstract: Global climate changes give us the important task of obtaining information about the spatial distribution of bioclimatic comfort indicators at the global or continental level. One of the most applicable tools can be based on reanalysis data (meteorological gridded data with global coverage). This issue is fully relevant for the territory of Northern Eurasia with its diverse climates, rapid environmental changes, and often sparse network of in situ observations. In this paper, we present a conceptually new data… Show more

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Cited by 4 publications
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“…Meteorological data for the study were computed on the basis of the ERA-Interim reanalysis by the North Eurasian Thermal Comfort Indices Dataset (NETCID) team (Konstantinov et al, 2022) at a 0.75-degree resolution. The dataset included three-hour raster calculations of the main biometeorological indices: the Heat Index (HI), Humidex (HUM), Physiologically Equivalent Temperature (PET) and the Universal Thermal Comfort Index (UTCI).…”
Section: Data Sourcesmentioning
confidence: 99%
“…Meteorological data for the study were computed on the basis of the ERA-Interim reanalysis by the North Eurasian Thermal Comfort Indices Dataset (NETCID) team (Konstantinov et al, 2022) at a 0.75-degree resolution. The dataset included three-hour raster calculations of the main biometeorological indices: the Heat Index (HI), Humidex (HUM), Physiologically Equivalent Temperature (PET) and the Universal Thermal Comfort Index (UTCI).…”
Section: Data Sourcesmentioning
confidence: 99%