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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: 2040 (Near-Term Scenario) and 2070 (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)
Wakulla_County_Extreme_Rainfall_Flood_Projections
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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: 2040 (Near-Term Scenario) and 2070 (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: 195e97fc189b457f8636ad614e9bd5a3
Copyright Text: The model was developed by using Inundate! tool designed by FlynnMetrics LLC in coordination with Regional Planning Councils in Florida (ARPC, CFRPC, ECFRPC, ECRC, NCFRPC, NEFRC, SFRPC, SWFRPC, TBRPC, TCRPC).
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Title: Wakulla County Extreme Rainfall Flood Projections
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Comments: 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). 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)
Subject: These datasets include modeled flood depth raster files representing hypothetical 100-year, 24-hour extreme rainfall scenarios for the years 2040 and 2070 across Wakulla County of Florida. Using the Inundate! tool, flood inundation is characterized in two categories: Drainflow (fluvial flooding from rainfall and overland flow) and Ponding (localized flooding in topographic depressions). Outputs are provided as continuous raster surfaces, with values representing flood depth in inches.
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Keywords: Wakulla County,future extreme rainfall,inundation modeling,climate scenarios,flood risk,100-year storm,flooding,raster,2040 (Near-Term),2070 (Far-Term),Inundate,ponding,drainflow,fluvial flooding
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