Historical Temperature Observations from Livneh

The Climate Resilience Information System (CRIS) provides data and tools for developers of climate services. This image service provides access to gridded historical observations for 27 threshold values of temperature for the contiguous United States for 1950-2013. These services are intended to support analysis of climate exposure for custom geographies and time horizons. More details on the how the data were processed can be found in Understanding CRIS Data. Time Ranges Pixel values for each variable were calculated for each year from 1950 to 2013. Variable Definitions See the variable list and definitions here. Additional Services Two versions of the gridded hisorical observations are available from CRIS: nClimGrid: a 4-km resolution dataset generated by NOAA. This data was used to downscale the STAR-ESDM climate projections in CRIS. Livneh: a 6-km resolution dataset generated by Livneh et al. This data was used to downscale the LOCA2 climate projections in CRIS. Using the Imagery Layer The ArcGIS Tiled Imagery Service has a multidimensional structure -- a data cube with variable and time dimensions. Methods for accessing the different dimensions will depend on the software/client being used. For more details, please see the CRIS Developer’s Hub along with this instructional StoryMap. To run analysis, first use the multidimensional tools Aggregate or Subset in ArcGIS Pro to copy the necessary data locally. Data Export Data export is enabled on the services if using an ArcGIS client. NetCDF or Zarr files are also available from the NOAA Open Data Distribution system on Amazon Web Services.气候韧性信息系统（Climate Resilience Information System，CRIS）为气候服务开发者提供数据与工具。本图像服务可获取1950年至2013年间美国本土48州（contiguous United States）27个气温阈值的网格化历史观测数据。此类服务旨在支撑针对自定义地理区域与时间跨度的气候暴露度分析。有关数据处理的更多细节可参阅《Understanding CRIS Data》。 时间范围 各变量的像素值基于1950年至2013年的逐年计算得出。 变量定义 请参阅此处的变量列表与定义说明。 附加服务 CRIS提供两种版本的网格化历史观测数据： nClimGrid：由美国国家海洋和大气管理局（National Oceanic and Atmospheric Administration，NOAA）生成的4千米分辨率数据集，该数据被用于降尺度CRIS中的STAR-ESDM气候预测数据。 Livneh：由Livneh等人生成的6千米分辨率数据集，该数据被用于降尺度CRIS中的LOCA2气候预测数据。 影像图层使用方法 ArcGIS切片影像服务具备多维结构——即包含变量与时间维度的数据立方体，访问不同维度的方法取决于所使用的软件/客户端。更多详情请参阅CRIS开发者中心（CRIS Developer’s Hub）与本教学型StoryMap。如需开展分析，请首先使用ArcGIS Pro中的多维工具（聚合工具或子集工具）将所需数据本地复制。 数据导出 若使用ArcGIS客户端，该服务已支持数据导出。此外，用户还可通过亚马逊云服务（Amazon Web Services，AWS）上的NOAA开放数据分发系统获取NetCDF或Zarr格式文件。