Livneh Historical Observations Energy Indicators

The Climate Resilience Information System (CRIS) provides data and tools for developers of climate services. This layer has historical variables in decadal increments from 1950 to 2020 derived from historical observations of air temperature and precipitation. The variables included are: Cooling degree (F) days Heating degree (F) days This layer uses data from the Livneh gridded precipitation and other meteorological variables for continental US, Mexico and southern Canada. Further processing by Esri is explained below. For each variable, there are mean values for the defined respective geography: counties, tribal areas, HUC-8 watersheds. The process for deriving these summaries is available from the CRIS Website’s About the Data. Other climate variables are available from the CRIS Data page. Additional geographies, including Alaska, Hawai’i and Puerto Rico will be made available in the future. Geographies This layer provides historic values for three geographies: county, tribal area, and HUC-8 watersheds. County: based on the U.S. Census TIGER/Line 2022 distribution. Tribal areas: based on the U.S. Census American Indian/Alaska Native/Native Hawaiian Area dataset 2022 distribution. This dataset includes federal- and state-recognized statistical areas. HUC-8 watershed: based on the USGS Washed Boundary Dataset, part of the National Hydrography Database Plus High Resolution. Time Ranges Historic climate threshold values (e.g. Days Over 90°F) were calculated for each year from 1950 to 2020. To ensure the layer displays time correctly, under 'Map properties' set Time zone to 'Universal Coordinated Time (UTC)' and under 'Time slider options' set Time intervals to '1 Decade'. Data Citation Livneh, B., T. J. Bohn, D. W. Pierce, F. Munoz-Arriola, B. Nijssen, R. Vose, D. R. Cayan, and L. Brekke, 2015: A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950 - 2013. Scientific Data, 2, https://doi.org/10.1038/sdata.2015.42. Data Export Exporting this data into shapefiles, geodatabases, GeoJSON, etc is enabled.气候韧性信息系统（Climate Resilience Information System, CRIS）可为气候服务开发者提供数据与工具。本图层包含1950年至2020年间以十年为增量的历史变量，这些变量源自气温与降水的历史观测资料。涉及的变量包括：华氏降温度日数（Cooling degree (F) days）、华氏升温度日数（Heating degree (F) days）。 本图层采用针对美国本土、墨西哥与加拿大南部的Livneh网格化降水及其他气象变量数据集。Esri的后续处理流程说明如下。 针对每个变量，本图层提供了预设地理分区的平均值，涵盖县、部落区域、HUC-8流域。上述汇总值的计算流程可从CRIS官网的「数据概况」栏目获取。CRIS数据页面还提供其他气候变量。未来将新增包括阿拉斯加、夏威夷与波多黎各在内的更多地理分区数据。 地理分区说明：本图层为三类地理分区提供历史数值：县、部落区域与HUC-8流域。 - 县：基于美国人口普查局TIGER/Line 2022版分区数据。 - 部落区域：基于美国人口普查局2022版美国印第安人/阿拉斯加原住民/夏威夷原住民区域数据集，该数据集包含联邦与州认定的统计区域。 - HUC-8流域：基于美国地质调查局（USGS）清洗边界数据集（Washed Boundary Dataset），属于国家水文数据库Plus高分辨率（National Hydrography Database Plus High Resolution）的一部分。 时间范围：本图层计算了1950年至2020年每年的历史气候阈值天数（如日最高温超过90华氏度的天数）。为确保地图正确显示时间，请在「地图属性」中将时区设置为「协调世界时（UTC）」，并在「时间滑块选项」中将时间间隔设置为「1十年」。 数据引用：Livneh, B.、Bohn, T. J.、Pierce, D. W.、Munoz-Arriola, F.、Nijssen, B.、Vose, R.、Cayan, D. R. 与 Brekke, L.，2015年：面向墨西哥、美国本土与加拿大南部的1950-2013年空间全覆盖水文气象数据集。《科学数据（Scientific Data）》，2，https://doi.org/10.1038/sdata.2015.42。 数据导出：本数据集支持导出为Shapefile、地理数据库（geodatabases）、GeoJSON等格式。