Gridded Monthly Observations (2001-2020 Climatologies) for ÖKS15 Bias Adjustment

Overview This gridded meteorological data set consists of monthly and annual climatologies on a 20-year average basis for Austria and covers the period 2001-2020, equivalent to the period of Global Warming Level (GWL) 1.0. The dataset can be used to bias-adjust the ÖKS15 climate models (https://doi.org/10.60669/b37q-jd39). Resolution: 1 km x 1 kmProjection: EPSG:3416Extent: AustriaPeriod: 2001-2020Format: GeoTIFF List of parameters: Short name Name Unit tasmin Average minimum temperature °C tasmax Average maximum temperature °C tas Average mean temperature °C pr Average sum of precipitation mm GLO_hori Average sum of global radiation on horizontal surface (shortwave incoming radiation, taking cloud cover into account) kWh/m² Data sources The climate indicators were calculated using daily data from different sources: Temperature: GeoSphere Austria, SPARTACUS v2.1 (Gridded data set, 1x1km, https://doi.org/10.1007/s00704-015-1411-4 ) Precipitation: GeoSphere Austria, SPARTACUS v2.1 (Gridded data set, 1x1km, https://doi.org/10.1007/s00704-017-2093-x ) Radiation: GeoSphere Austria, APOLIS SHORT (Gridded data set, 100x100m, 2017-2020, https://adsabs.harvard.edu/abs/2012EGUGA..14.9705O)GeoSphere Austria, APOLIS LONG (Gridded data set, 100x100m, 2001-2016) Methods The following daily gridded meteorological data were generated to calculate the 20-year averaged climate indicators: a) Temperature, Precipitation The daily data of SPARTACUS (maximum and minimum temperature, precipitation) were directly used and the daily mean temperature was calculated by simply taking the arithmetic mean of the minimum and the maximum. b) Global Radiation The requirements for the final dataset were continuous and homogeneous data from 2001 to 2020. APOLIS SHORT deviates significantly from the station measurements (typically 10 to 20% higher). Therefore, APOLIS LONG was set as the reference, and the periods after were statistically adjusted to it. APOLIS SHORT was homogenized using APOLIS LONG. This was accomplished using empirical, multiplicative quantile mapping correction (Déqué, 2007, https://doi.org/10.1016/j.gloplacha.2006.11.030).