five

April 1st Snow Water Equivalent Map: All Scenarios

收藏
King County Climate Change GIS Open Data2026-05-16 收录
下载链接:
https://climate-kingcounty.opendata.arcgis.com/maps/kingcounty::april-1st-snow-water-equivalent-map-all-scenarios
下载链接
链接失效反馈
官方服务:
资源简介:
<hr /> <p> <span><strong>Deprecation Warning</strong>: On June 1 2026, this item will no longer be available. </span> For more information on transitioing layers visit: <a target='_blank' href='https://gis-kingcounty.opendata.arcgis.com/pages/inspect-gis-data-1' rel='nofollow ugc noopener noreferrer'>Update Deprecated Items | King County GIS Open Data</a> </p> <hr /><div><span style='font-weight:bold;'>A pre-configured, multi-layer web map for viewing all April 1st Snow Water Equivalent scenarios.</span> <span style='font-style:italic;'>(To launch the map from the Climate Change Open Data site, select &quot;View Metadata&quot; under the &quot;About&quot; heading, then look for the button labeled &quot;Open in Map Viewer&quot; to the upper right.) <br /></span></div><div><br />The map layers depict historical and projected changes in the April 1st Snow Water Equivalent (SWE), a measure of the total amount of water contained in the snowpack. April 1st is the approximate current timing of peak annual snowpack in the mountains of the Northwest. Results are shown only for watersheds with an average historical April 1st SWE of at least 0.4 inch. Geographic units: HUC10. <br /></div><div><br /></div><div>These data include historical conditions (1970-1999, in inches) and the projected changes (in percent) for ten global models. Two time periods are considered: the 2040s (2030-2059) and the 2080s (2070-2099), based on a moderate greenhouse gas scenario (A1B).<span style='font-style:italic;'><br /></span></div><div><span style='font-style:italic;'><br /></span></div><div><span style='font-style:italic;'>When rendered and displayed in Map Viewer (web map): </span>Data classes and symbology by Robert Norheim, Climate Impacts Group, based on the CMIP3 projections used in the IPCC 2007 report.<br /></div><div><br /></div><div>Data source: Hamlet et al. 2013.</div><div><span style='font-style:italic;'> </span></div>
提供机构:
King County
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作