Climatologies at high resolution for the earth's land surface areas

High-resolution information on climatic conditions is essential to many applications in environmental and ecological sciences. Here we present the CHELSA (Climatologies at high resolution for the earth’s land surface areas) data of downscaled model output temperature and precipitation estimates of the ERA-Interim climatic reanalysis to a high resolution of 30 arc sec. The temperature algorithm is based on statistical downscaling of atmospheric temperatures. The precipitation algorithm incorporates orographic predictors including wind fields, valley exposition, and boundary layer height, with a subsequent bias correction. The resulting data consist of a monthly temperature and precipitation climatology for the years 1979–2013. We compare the data derived from the CHELSA algorithm with other standard gridded products and station data from the Global Historical Climate Network. We compare the performance of the new climatologies in species distribution modelling and show that we can increa...

气候条件的高分辨率数据，对环境科学与生态科学领域的诸多应用而言至关重要。本文介绍了CHELSA（Climatologies at high resolution for the earth’s land surface areas）数据集：该数据集将ERA-Interim气候再分析数据的模式输出温度与降水估算结果降尺度至30角秒的高分辨率。温度反演算法基于大气温度的统计降尺度方法；降水算法则纳入了包括风场、山谷朝向与边界层高度在内的地形相关预测因子，并辅以后续偏差校正步骤。最终生成的数据集包含1979年至2013年的逐月温度与降水气候学数据。我们将基于CHELSA算法生成的数据集与其他标准格点产品，以及全球历史气候观测站网（Global Historical Climate Network）的站点观测数据进行了对比。我们还对比了该新型气候数据集在物种分布建模中的应用表现，并证实其能够……