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BioClim Austria: Gridded climate indicators for 1961-1990 and 1991-2020 at 250m resolution

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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
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