BioClim Austria: Gridded climate indicators for 1961-1990 and 1991-2020 at 250m resolution
收藏NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/10887292
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Overview
This gridded meteorological data set consists of climatologies (climate indicators) on a 30-year average basis for Austria and covers two historical periods with a high spatial resolution of 250m. The two 30-year periods provided for the observations allow the analysis of the climate change that has already occurred. The selection of climate indicators is optimized for the needs of ecological models.
Resolution: 250x250mProjection: EPSG 31287Extent: AustriaPeriods: 1961-1990 and 1991-2020Format: GeoTIFFData sources: Station data and derived products
List of climatologies (climate indicators)
#
Short name
Name
Description
Unit
Yearly (Y), monthly (M) or growing season (GS)
1
tasmin
Average daily minimum temperature
Arithmetic mean
°C
Y, M
2
tasmax
Average daily maximum temperature
Arithmetic mean
°C
Y, M
3
tas
Average temperature
Arithmetic mean
°C
Y, M
4
tas_warmest_month
Average temperature mean in the warmest month
Calculation of the mean temperature over the climate period for all months and then selection of the highest value for the warmest month
°C
Y
5
tas_coldest_month
Average temperature mean in the coldest month
Calculation of the mean temperature over the climate period for all months and then selection of the lowest value for the coldest month
°C
Y
6
tasmin_coldest_month
Average temperature minimum in the coldest month
Calculation of the mean minimum temperature over the climate period for all months and then selection of the lowest value for the coldest month
°C
Y
7
tasmax_warmest_month
Average temperature maximum in the warmest month
Calculation of the mean maximum temperature over the climate period for all months and then selection of the highest value for the warmest month
°C
Y
8
thermal_continentality
Average annual amplitude of monthly mean temperature (Thermal continentality)
Climatological monthly mean temperature in the warmest month minus climatological monthly mean temperature in the coldest month (04_tas* minus 05_tas*).
°C
Y
9
FD
Average number of frost days per year
Defined by 0°C daily minimum temperature at 2m height.
days
Y
10
GSL
Average length of the growing season
The growing season is the duration in days of the longest continuous period of days with an average temperature of at least 5°C. However, an earlier or later period of such warm days is included in the growing season if it lasts longer than the sum of all intervening cooler days
days
Y
11
tas
Average temperature in the growing season
Average temperature in the growing season defined as in climate indicator 10 (GSL). If a year does not have a growing season, this value is not defined.
°C
GS
12
GDD
Average Growing Degree Days per year above 5°C
Σ(Tmean – 5°C) per year.
°C
Y
13
FD_first
Average date of the first frost occurrence
Frost is defined by a temperature of 0°C at a height of 2 meters (arithmetic mean). Years without frost are excluded from the calculation of the mean. If no frost occurs at all, the value is indeterminate
day of year
Y
14
FD_last
Average date of the last frost occurrence
Frost is defined by a temperature of 0°C at a height of 2 meters (arithmetic mean). Years without frost are excluded from the calculation of the mean. If no frost occurs at all, the value is indeterminate
day of year
Y
15
HD35
Average number of extremely hot days above 35°C per year
Defined by 35°C daily maximum temperature at 2m height.
days
Y
16
FD_10
Average number of days with hard frost below -10°C per year
Defined by -10°C daily minimum temperature at 2m height.
days
Y
20
GLO_hori
Average sum of global radiation on horizontal surface
Also called irradiance or shortwave incoming radiation, taking cloud cover into account.
kWh
Y, M
21
GLO_real
Average sum of global radiation on the real surface
Also called irradiance or shortwave incoming radiation, taking cloud cover into account.
kWh
Y, M
31
vpd
Average water vapor pressure deficit
Calculated from daily dew point temperature and temperature.
hPa
Y, M
31
hurs
Average relative humidity
Calculated from daily dew point temperature and temperature.
%
Y, M
32
vpd
Average water vapor pressure deficit
Calculated from daily dew point temperature and temperature.
hPa
GS
32
hurs
Average relative humidity
Calculated from daily dew point temperature and temperature.
%
GS
33
pr
Average precipitation sum
mm
Y, M
34
hygric_continentality
Average hygric continentality according to Gams
Defined as arctan of (elevation/annual_precip). Gams, H. (1931). Die klimatische Begrenzung von Pflanzenarealen und die Verteilung der hygrischen Kontinentalität in den Alpen.
°
Y
35
pr1mm
Average number of days with precipitation
Daily precipitation of at least 1mm.
days
Y
36
pr1mm
Average number of days with precipitation in the growing season
Daily precipitation of at least 1mm.
days
GS
37
DP_3days, DP_5days, DP_7days
Average number of days in dry periods in summer half-year
Number of days in periods of at least 3, 5, or 7 days with a daily precipitation total of less than 1mm. Summer half-year: April to September
days
Y
39
ET0
Average annual potential evapotranspiration
Calculation according to FAO Penman-Monteith: fao.org/3/X0490E/x0490e08.htm
mm
Y, M
40
WBAL
Average climatic water balance
Precipitation minus potential evapotranspiration
mm
Y, M
41
WBAL
Average climatic water balance in the growing season
Precipitation minus potential evapotranspiration in the growing season
mm
GS
Data sources
The climate indicators were calculated using daily data from different sources:
Temperature: SPARTACUS v2.1 (Gridded data set, 1x1km, https://doi.org/10.1007/s00704-015-1411-4 )
Precipitation: SPARTACUS v2.1 (Gridded data set, 1x1km, https://doi.org/10.1007/s00704-017-2093-x )
Radiation: APOLIS SHORT(Gridded data set, 100x100m, 2006-2020, https://adsabs.harvard.edu/abs/2012EGUGA..14.9705O)APOLIS LONG (Gridded data set, 100x100m, 1981-2016)SPARTACUS v2.1 (Gridded data set, 1x1km, daily sunshine duration, 1961-2020).
Wind: Daily station data (https://doi.org/10.60669/gs6w-jd70)
Humidity: Daily station data (https://doi.org/10.60669/gs6w-jd70)
Digital elevation model: © Kooperation Länder, Bund (BEV, BML), 2022
创建时间:
2024-07-06



