Data on projected climate conditions for the future is essential for many applications in climate change impact studies. Yet, with the release of the CMIP6, the increasing amount of data poses challenges for users to access and process the data. Here we present the chelsa_cmip6 package to create bioclimatic variables and climatological normals based on CHELSA ver. 2.1 and cloud based CMIP6 data for user defined geographical extents. The package offers simple access to CMIP6 data on cloud servers. It aggregates the CMIP6 data to climatological normals and downscales it from its native resolution to a 30 arcsec grid resolution using the delta change method for user defined future periods. Based on the climatological normals, it creates a set of bioclimatic variables that represent long term climatic means or variability in air temperatures and precipitation. The package offers users a simple way of creating climate change projections for user defined geographical extents and time periods.

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chelsa-cmip6 1.0：一个 python 包，用于创建基于 CHELSA ver 的高分辨率生物气候变量。2.1 和CMIP6数据

关于未来气候条件的预测数据对于气候变化影响研究中的许多应用至关重要。然而，随着 CMIP6 的发布，越来越多的数据对用户访问和处理数据提出了挑战。在这里，我们介绍了 chelsa_cmip6 包，用于创建基于 CHELSA ver 的生物气候变量和气候法线。2.1 和基于云的 CMIP6 数据，用于用户定义的地理范围。该软件包提供对云服务器上 CMIP6 数据的简单访问。它将 CMIP6 数据聚合到气候法线，并使用用户定义的未来时期的增量变化方法将其从原始分辨率缩小到 30 弧秒的网格分辨率。根据气候平均值，它创建了一组生物气候变量，这些变量代表长期气候平均值或气温和降水的变化。该软件包为用户提供了一种针对用户定义的地理范围和时间段创建气候变化预测的简单方法。