

{
"name":"MapImages/Gulf_County_Extreme_Rainfall_Flood_Projections",
"title":"MapImages/Gulf_County_Extreme_Rainfall_Flood_Projections",
"type":"Map Service",
"typeKeywords":["ArcGIS Server","Service","Map Service"],
"description":"<DIV STYLE=\"text-align:Left;\"><DIV><DIV><P><SPAN>The future rainfall scenarios were developed to support statewide vulnerability assessments and climate resilience planning. Each scenario (raster datasets in this case) represents a statistically derived 100-year, 24-hour rainfall event for two future time horizons: 2040 (Near-Term Scenario) and 2070 (Far-Term Scenario). <\/SPAN><\/P><P><SPAN>These raster datasets simulate rainfall-driven inundation under changing climate conditions and are intended for use in identifying flood-prone areas, supporting infrastructure adaptation planning, and enhancing community flood resilience strategies.<\/SPAN><\/P><P><SPAN>Flood types are modeled in two ways respectively. <\/SPAN><SPAN STYLE=\"font-weight:bold;\">Drainflow<\/SPAN><SPAN>: Overland and fluvial flow from extreme precipitation and <\/SPAN><SPAN STYLE=\"font-weight:bold;\">Ponding<\/SPAN><SPAN>: Localized pooling in low-lying terrain due to rainfall accumulation.<\/SPAN><\/P><P><SPAN STYLE=\"font-weight:bold;\">Projection / Coordinate System / Datums: <\/SPAN><SPAN>Horizontal Datum: NAD83/2011 and Vertical Datum: NAVD88 <\/SPAN><\/P><P><SPAN STYLE=\"font-weight:bold;\">Raster Type: <\/SPAN><SPAN>Continuous surface (flood depth measured in inches)<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>",
"extent":[[1505755.2919402528,1952881.8966967645],[177043.56430164885,473449.5643016489]],

"url":"https://gis.arpc.org/server/rest/services/MapImages/Gulf_County_Extreme_Rainfall_Flood_Projections/MapServer"
}
