High spatial resolution bioclimatic variables of Sardinia

We generated a high-resolution suite of 19 bioclimatic variables of Sardinia of the suite of the original coarse-grain bioclimatic variables proposed by WorldClim 2: all rasters are provided at roughly 1.69 arcsec (40 m cell size) resolution and in the WGS84 geographic coordinate system (EPSG code of 4326). GeoTIFF rasters of all 19 bioclimatic variables of Sardinia (Italy) are included. Metadata files include file name, thumbnail, tags and description for all rasters. We calculated the suite of 19 bioclimatic variables using a high-resolution monthly climatologies of temperature and precipitation of Sardinia, based on long-term climate time series and local topography. Please read and cite the associate paper: High spatial resolution bioclimatic variables to support ecological modelling in a Mediterranean biodiversity hotspot (2020) Erika Bazzato, Leonardo Rosati, Simona Canu, Michele Fiori, Emmanuele Farris, Michela Marignani. Ecological Modelling https://doi.org/10.1016/j.ecolmodel.2020.109354

本数据集生成了一套高分辨率的撒丁岛19个生物气候变量（bioclimatic variables）集，其原始版本为WorldClim 2提出的粗粒度生物气候变量集。所有栅格数据均采用约1.69角秒（对应40米像元尺寸）的分辨率，坐标系为WGS84（世界大地测量系统1984）地理坐标系，EPSG编码为4326。本数据集包含意大利撒丁岛全部19个生物气候变量的GeoTIFF（地理标记栅格文件格式）栅格数据。元数据文件涵盖所有栅格数据的文件名、缩略图、标签及描述信息。本数据集基于长期气候时间序列与局地地形，利用撒丁岛的高分辨率月尺度温度和降水气候态，计算得到这套19个生物气候变量。请引用相关论文：《支持地中海生物多样性热点区域生态建模的高空间分辨率生物气候变量》（2020），作者为Erika Bazzato、Leonardo Rosati、Simona Canu、Michele Fiori、Emmanuele Farris、Michela Marignani，发表于《生态建模》，DOI: 10.1016/j.ecolmodel.2020.109354