Livneh Historical Observations Temperature Variables

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: Annual average daily maximum temperature (°F) Annual average daily temperature (°F) Annual average daily minimum temperature (°F) Annual single highest maximum temperature (°F) Annual single lowest minimum temperature (°F) Annual average summertime (June, July, August) temperature (°F) 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）为气候服务开发者提供数据与工具。本图层包含1950年至2020年间以十年为步长的历史变量，此类变量源自气温与降水的历史观测数据。所包含的变量如下： - 年平均日最高气温（°F） - 年平均气温（°F） - 年平均日最低气温（°F） - 年极端最高气温（°F） - 年极端最低气温（°F） - 夏季（6月、7月、8月）平均气温（°F） 本图层采用针对美国本土、墨西哥及加拿大南部的Livneh网格化降水与其他气象变量数据集，Esri的进一步处理流程说明如下。针对每个变量，均提供对应定义地理区域的平均值：县、部落区域、HUC-8流域。此类汇总数据的生成流程可从CRIS官网的「数据概览」栏目获取。CRIS数据页面还提供其他气候变量，未来将推出包含阿拉斯加、夏威夷及波多黎各在内的更多地理区域数据。 ### 地理区域 本图层为三类地理区域提供历史气候数值：县、部落区域及HUC-8流域。 1. 县：基于美国人口普查局TIGER/Line 2022发布版本。 2. 部落区域：基于美国人口普查局2022发布的美国印第安人/阿拉斯加原住民/夏威夷原住民区域数据集，该数据集包含联邦及州政府认可的统计区域。 3. HUC-8流域：基于美国地质调查局（USGS）冲洗边界数据集，属于国家水文数据库Plus高分辨率系列的一部分。 ### 时间范围 针对1950年至2020年的每一年，均计算得到历史气候阈值（例如：日最高气温超过90°F的天数）。为确保图层正确显示时间，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「10年」。 ### 数据引用 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. ### 数据导出 支持将本数据集导出为Shapefile、地理数据库、GeoJSON等格式。