Physioclimatic clusters of Austria

physioclimatic_features_grid_AT_average_1992-2021.nc A netcdf dataset on a 1 km grid covering Austria and it's associated catchment areas. The spatial dimensions are 329 by 584 gridpoints in the projection ETRS89 / Austria Lambert (EPSG:3416). The data consist of 176 different climatological and geomorphometric indices, which are calculated for each gridpoint and then averaged across the climatological normal 01-01-1992 to 31-12-2021. The basis variables from which indices are calculated are elevation, temperature, precipitation, reference evapotranspiration, sunshine duration, snow height and snow water equivalent. physioclimatic_clusters_raster_AT.tif A GeoTiff file of derived physioclimatic subregions comprising 7 characteristic clusters and one noise class, which are the main regionalisation results of the paper below. physioclimatic_clusters_vector_AT.gpkg A GeoPackage consisting of vectorized features of type multipolygon comprising spatially filtered physioclimatic regions based on the gridded output clusters. Note that the small valley clusters have been filtered out and the remaining larger clusters have been spatially joined in order to derive simple multipolygons. This derived, spatially filtered set of clusters can be used for less granular applications compared to the above fine-grained cluster output. base_variables.nc Base Variables mean Temperature, Precipitation and slope, used to evaluate the clustering output. principal_components_dim20.nc First 20 principal components of the full feature space, used as direct input for UMAP/HDBSCAN and k-means and to evaluate the clustering output. Please refer to the GitHub repository for further details. The peer-reviewed, open access paper can be found here: https://doi.org/10.1016/j.envsoft.2025.106324.physioclimatic_features_grid_AT_average_1992-2021.nc 该数据集为覆盖奥地利及其附属流域的1公里分辨率网格网络通用数据格式（NetCDF）文件。其空间维度为329×584个网格点，投影采用ETRS89 / 奥地利兰伯特（EPSG:3416）。数据集包含176种气候学与地貌计量学指数，所有指数均针对每个网格点计算，并以1992年1月1日至2021年12月31日的气候标准期数据进行平均。用于计算上述指数的基础变量包括高程、气温、降水量、参考蒸散量、日照时长、积雪深度及雪水当量。 physioclimatic_clusters_raster_AT.tif 该文件为地理标签图像文件格式（GeoTIFF）的派生气候地貌子区域栅格数据，包含7个特征聚类簇与1个噪声类别，为本研究论文的主要分区结果。 physioclimatic_clusters_vector_AT.gpkg 该文件为地理包（GeoPackage）格式数据，包含多面矢量要素，基于上述网格化聚类结果经空间过滤得到的气候地貌区域。请注意，本数据已过滤掉小型河谷聚类簇，并对剩余的大型聚类簇进行空间融合，以生成简化的多面要素。与上述精细粒度的聚类输出相比，这套经空间过滤派生的聚类数据集可应用于对粒度要求较低的场景。 base_variables.nc 该网络通用数据格式（NetCDF）数据集包含平均气温、降水量与坡度三类基础变量，用于评估聚类结果的合理性。 principal_components_dim20.nc 该网络通用数据格式（NetCDF）数据集包含全特征空间的前20个主成分，可直接作为UMAP、HDBSCAN及k-means聚类的输入数据，同时也用于聚类结果的评估。 更多详细信息请参阅相关GitHub仓库。经同行评审的开放获取论文可通过以下链接获取：https://doi.org/10.1016/j.envsoft.2025.106324.