MapImages/Extreme_Rainfall_Induced

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Service Description:

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:

2050 (Near-Term Scenario) and 2080 (Far-Term Scenario)

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.

Flood types are modeled in two ways respectively:

Drainflow: Overland and fluvial flow from extreme precipitation and

Ponding: Localized pooling in low-lying terrain due to rainfall accumulation.

Projection / Coordinate System / Datums:

Horizontal Datum: NAD83/2011 and Vertical Datum: NAVD88

Raster Type:

Continuous surface (flood depth measured in inches)

Map Name: Extreme Rainfall Induced Flooding

Legend

All Layers and Tables

Dynamic Legend

Dynamic All Layers

Layers:

Calhoun Drainflow Depth Near Term (0)
Calhoun Drainflow Depth Far Term (1)
Franklin Drainflow Depth Near Term (2)
Franklin Drainflow Depth Far Term (3)
Gadsden Drainflow Depth Near Term (4)
Gadsden Drainflow Depth Far Term (5)
Gulf Drainflow Depth Near Term (6)
Gulf Drainflow Depth Far Term (7)
Jackson Drainflow Depth Near Term (8)
Jackson Drainflow Depth Far Term (9)
Jefferson Drainflow Depth Near Term (10)
Jefferson Drainflow Depth Far Term (11)
Leon Drainflow Depth Near Term (12)
Leon Drainflow Depth Far Term (13)
Liberty Drainflow Depth Near Term (14)
Liberty Drainflow Depth Far Term (15)
Wakulla Drainflow Depth Near Term (16)
Wakulla Drainflow Depth Far Term (17)

Description: 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: 2050 (Near-Term Scenario) and 2080 (Far-Term Scenario) 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. Flood types are modeled in two ways respectively: Drainflow: Overland and fluvial flow from extreme precipitation and Ponding: Localized pooling in low-lying terrain due to rainfall accumulation. Projection / Coordinate System / Datums: Horizontal Datum: NAD83/2011 and Vertical Datum: NAVD88 Raster Type: Continuous surface (flood depth measured in inches)

Service Item Id: 81e01a6d6c734568b4cf1e3e82460d0c

Copyright Text:

Spatial Reference: 2883 (2883) VCSWkid(105703) LatestVCSWkid(6360)

Single Fused Map Cache: false

Initial Extent:

Full Extent:

Units: esriFeet

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info:

Supports Dynamic Layers: true

MaxRecordCount: 2000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true

Child Resources: Info Dynamic Layer

Supported Operations: Export Map Identify QueryLegends QueryDomains Find Return Updates

MapImages/Extreme_Rainfall_Induced_Flooding (MapServer)