StormSense - Revision history

Pinfold at 05:53, January 25, 2023

2023-01-25T05:53:59Z

← Older revision		Revision as of 05:53, January 25, 2023
Line 7:		Line 7:
	\|status=Implemented		\|status=Implemented
	\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015		\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015
	\|description=		\|description=Objectives
	Objectives
	* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.		* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.
	* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.		* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.
Line 45:		Line 44:
	# Add additional TideWatch gauges in the James River		# Add additional TideWatch gauges in the James River
	# Expand the project throughout the Peninsula and into other parts of the Hampton Roads Region		# Expand the project throughout the Peninsula and into other parts of the Hampton Roads Region
			\|chapter=Predictive Modeling
	\|supercluster=Public Safety		\|supercluster=Public Safety
	\|year=2016, 2017, 2018		\|year=2016, 2017, 2018
	\|title=StormSense - Tidal, Riverine, Inland, Surge Flood Management Program		\|title=StormSense - Tidal, Riverine, Inland, Surge Flood Management Program
	}}		}}

Pinfold at 15:27, May 20, 2022

2022-05-20T15:27:51Z

← Older revision		Revision as of 15:27, May 20, 2022
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	\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015		\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015
	\|description=		\|description=
			Objectives
	* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.		* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.
	* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.		* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.

Pinfold at 15:27, May 20, 2022

2022-05-20T15:27:17Z

← Older revision		Revision as of 15:27, May 20, 2022
Line 7:		Line 7:
	\|status=Implemented		\|status=Implemented
	\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015		\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015
	\|description=* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.		\|description=
			* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.
	* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.		* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.
	\|challenges=* Communities are often at risk from different types for flooding, however, current models tend to focus on a single type/source		\|challenges=* Communities are often at risk from different types for flooding, however, current models tend to focus on a single type/source

Pinfold at 15:19, May 20, 2022

2022-05-20T15:19:43Z

← Older revision		Revision as of 15:19, May 20, 2022
Line 4:		Line 4:
	\|leader=Jon Loftis		\|leader=Jon Loftis
	\|imagecaption=StormSense		\|imagecaption=StormSense
	\|municipalities=Newport News VA, ~~City of~~ Virginia Beach, ~~City of~~ Norfolk, ~~City of~~ Hampton, ~~City of~~ Portsmouth, ~~City of~~ Chesapeake, ~~City of~~ Williamsburg, York County VA		\|municipalities=Newport News VA, Virginia Beach VA, Norfolk VA, Hampton VA, Portsmouth VA, Chesapeake VA, Williamsburg VA, York County VA
	\|status=Implemented		\|status=Implemented
	\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015		\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015
	~~\|download=~~
	\|description=* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.		\|description=* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.
	* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.		* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.

Pinfold at 04:43, May 20, 2022

2022-05-20T04:43:16Z

← Older revision		Revision as of 04:43, May 20, 2022
Line 7:		Line 7:
	\|status=Implemented		\|status=Implemented
	\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015		\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015
	\|download=~~Derek Loftis Flood Model Potential Future Plans.pdf~~		\|download=
	\|description=* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.		\|description=* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.
	* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.		* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.

Pinfold at 04:41, May 20, 2022

2022-05-20T04:41:19Z

← Older revision		Revision as of 04:41, May 20, 2022
Line 7:		Line 7:
	\|status=Implemented		\|status=Implemented
	\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015		\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015
	\|download=		\|download=Derek Loftis Flood Model Potential Future Plans.pdf
	\|description=* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.		\|description=* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.
	* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.		* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.
Line 14:		Line 14:
	* Forecast model integration with existing GIS systems for short term pre-disaster planning and deployment of resources		* Forecast model integration with existing GIS systems for short term pre-disaster planning and deployment of resources
	\|solutions=A Long-Term Predictive Modeling Plan for local, regional, national, and global applications described [https://wm1693.app.box.com/s/v2nw4b01cwj1py6xwaxi6i7r0hbl9s57 here].		\|solutions=A Long-Term Predictive Modeling Plan for local, regional, national, and global applications described [https://wm1693.app.box.com/s/v2nw4b01cwj1py6xwaxi6i7r0hbl9s57 here].
	\|requirements=		\|requirements=* Determine applicable models best suited to local conditions
	* Determine applicable models best suited to local conditions
	* Beginning with tidal/surge modeling, conduct local verification of models vs. “ground truth”		* Beginning with tidal/surge modeling, conduct local verification of models vs. “ground truth”
	* Determine locations for additional sensors and types		* Determine locations for additional sensors and types
Line 21:		Line 20:
	* Recruit/train local personnel to take real-time readings to update the forecasting		* Recruit/train local personnel to take real-time readings to update the forecasting
	* Expand the program to neighboring jurisdictions, then regionally		* Expand the program to neighboring jurisdictions, then regionally
	\|kpi=		\|kpi=* Verify the accuracy of the VIMS TideWatch predictions with post-storm analysis
	* Verify the accuracy of the VIMS TideWatch predictions with post-storm analysis
	* Verify the accuracy of the multi-flood type models with post-storm analysis with future goals are to improve prediction of flood depths and extents by 10% between stages 2 and 3; data was collected during Jan. 2016 winter storm event; not yet validated.		* Verify the accuracy of the multi-flood type models with post-storm analysis with future goals are to improve prediction of flood depths and extents by 10% between stages 2 and 3; data was collected during Jan. 2016 winter storm event; not yet validated.
	\|measurement=		\|measurement=* Statistical analysis of forecasts vs. time issued, actual flood area and depth.
	* Statistical analysis of forecasts vs. time issued, actual flood area and depth.
	* Emergency response-time analytics during upcoming flood scenarios		* Emergency response-time analytics during upcoming flood scenarios
	\|standards=		\|standards=* Sensors utilizing common internet protocols over the city’s WiFi and existing SCADA systems
	* Sensors utilizing common internet protocols over the city’s WiFi and existing SCADA systems
	* Crowd sourced data collection via a smartphone application		* Crowd sourced data collection via a smartphone application
	* Modeling will be accessible via a website		* Modeling will be accessible via a website
Line 34:		Line 30:
	* Expand the program and modeled areas to neighboring jurisdictions, then regionally via A Long-Term Predictive Modeling Plan for local, regional, national, and global applications		* Expand the program and modeled areas to neighboring jurisdictions, then regionally via A Long-Term Predictive Modeling Plan for local, regional, national, and global applications
	\|cybersecurity=TBD		\|cybersecurity=TBD
	\|impacts=		\|impacts=* Predicts the timing of flooding and flooded evacuation routes
	* Predicts the timing of flooding and flooded evacuation routes
	* Aids in rerouting emergency routes for public safety		* Aids in rerouting emergency routes for public safety
	* Saves lives and reduces property damage		* Saves lives and reduces property damage
	* Identified future mitigation projects		* Identified future mitigation projects
	\|demonstration=		\|demonstration=* Phase I Pilot/Demonstration:
	* Phase I Pilot/Demonstration:
	# Deploy the VIMS forecast and Tidal/Surge maps		# Deploy the VIMS forecast and Tidal/Surge maps
	# Deploy the data collection application		# Deploy the data collection application

Pinfold at 04:40, May 20, 2022

2022-05-20T04:40:54Z

← Older revision		Revision as of 04:40, May 20, 2022
Line 7:		Line 7:
	\|status=Implemented		\|status=Implemented
	\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015		\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015
	\|download=~~Derek Loftis Flood Model Potential Future Plans.pdf~~		\|download=
	\|description=* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.		\|description=* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.
	* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.		* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.
Line 14:		Line 14:
	* Forecast model integration with existing GIS systems for short term pre-disaster planning and deployment of resources		* Forecast model integration with existing GIS systems for short term pre-disaster planning and deployment of resources
	\|solutions=A Long-Term Predictive Modeling Plan for local, regional, national, and global applications described [https://wm1693.app.box.com/s/v2nw4b01cwj1py6xwaxi6i7r0hbl9s57 here].		\|solutions=A Long-Term Predictive Modeling Plan for local, regional, national, and global applications described [https://wm1693.app.box.com/s/v2nw4b01cwj1py6xwaxi6i7r0hbl9s57 here].
	\|requirements=* Determine applicable models best suited to local conditions		\|requirements=
			* Determine applicable models best suited to local conditions
	* Beginning with tidal/surge modeling, conduct local verification of models vs. “ground truth”		* Beginning with tidal/surge modeling, conduct local verification of models vs. “ground truth”
	* Determine locations for additional sensors and types		* Determine locations for additional sensors and types
Line 20:		Line 21:
	* Recruit/train local personnel to take real-time readings to update the forecasting		* Recruit/train local personnel to take real-time readings to update the forecasting
	* Expand the program to neighboring jurisdictions, then regionally		* Expand the program to neighboring jurisdictions, then regionally
	\|kpi=* Verify the accuracy of the VIMS TideWatch predictions with post-storm analysis		\|kpi=
			* Verify the accuracy of the VIMS TideWatch predictions with post-storm analysis
	* Verify the accuracy of the multi-flood type models with post-storm analysis with future goals are to improve prediction of flood depths and extents by 10% between stages 2 and 3; data was collected during Jan. 2016 winter storm event; not yet validated.		* Verify the accuracy of the multi-flood type models with post-storm analysis with future goals are to improve prediction of flood depths and extents by 10% between stages 2 and 3; data was collected during Jan. 2016 winter storm event; not yet validated.
	\|measurement=* Statistical analysis of forecasts vs. time issued, actual flood area and depth.		\|measurement=
			* Statistical analysis of forecasts vs. time issued, actual flood area and depth.
	* Emergency response-time analytics during upcoming flood scenarios		* Emergency response-time analytics during upcoming flood scenarios
	\|standards=* Sensors utilizing common internet protocols over the city’s WiFi and existing SCADA systems		\|standards=
			* Sensors utilizing common internet protocols over the city’s WiFi and existing SCADA systems
	* Crowd sourced data collection via a smartphone application		* Crowd sourced data collection via a smartphone application
	* Modeling will be accessible via a website		* Modeling will be accessible via a website
Line 30:		Line 34:
	* Expand the program and modeled areas to neighboring jurisdictions, then regionally via A Long-Term Predictive Modeling Plan for local, regional, national, and global applications		* Expand the program and modeled areas to neighboring jurisdictions, then regionally via A Long-Term Predictive Modeling Plan for local, regional, national, and global applications
	\|cybersecurity=TBD		\|cybersecurity=TBD
	\|impacts=* Predicts the timing of flooding and flooded evacuation routes		\|impacts=
			* Predicts the timing of flooding and flooded evacuation routes
	* Aids in rerouting emergency routes for public safety		* Aids in rerouting emergency routes for public safety
	* Saves lives and reduces property damage		* Saves lives and reduces property damage
	* Identified future mitigation projects		* Identified future mitigation projects
	\|demonstration=* Phase I Pilot/Demonstration:		\|demonstration=
			* Phase I Pilot/Demonstration:
	# Deploy the VIMS forecast and Tidal/Surge maps		# Deploy the VIMS forecast and Tidal/Surge maps
	# Deploy the data collection application		# Deploy the data collection application

Pinfold at 04:38, May 20, 2022

2022-05-20T04:38:18Z

← Older revision		Revision as of 04:38, May 20, 2022
Line 7:		Line 7:
	\|status=Implemented		\|status=Implemented
	\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015		\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015
	\|download=~~file:///home/wilfred/Downloads/Derek_Loftis_Flood_Model_Potential_Future_Plans~~.pdf		\|download=Derek Loftis Flood Model Potential Future Plans.pdf
	\|description=* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.		\|description=* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.
	* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.		* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.

Pinfold at 04:37, May 20, 2022

2022-05-20T04:37:35Z

← Older revision		Revision as of 04:37, May 20, 2022
Line 7:		Line 7:
	\|status=Implemented		\|status=Implemented
	\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015		\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015
			\|download=file:///home/wilfred/Downloads/Derek_Loftis_Flood_Model_Potential_Future_Plans.pdf
	\|description=* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.		\|description=* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.
	* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.		* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.
Line 28:		Line 29:
	* Linkages to alerting would be via the flood model’s Online GIS Data Release Platform and potentially through the SLR mobile App		* Linkages to alerting would be via the flood model’s Online GIS Data Release Platform and potentially through the SLR mobile App
	* Expand the program and modeled areas to neighboring jurisdictions, then regionally via A Long-Term Predictive Modeling Plan for local, regional, national, and global applications		* Expand the program and modeled areas to neighboring jurisdictions, then regionally via A Long-Term Predictive Modeling Plan for local, regional, national, and global applications
			\|cybersecurity=TBD
	\|impacts=* Predicts the timing of flooding and flooded evacuation routes		\|impacts=* Predicts the timing of flooding and flooded evacuation routes
	* Aids in rerouting emergency routes for public safety		* Aids in rerouting emergency routes for public safety

Pinfold at 22:13, March 13, 2022

2022-03-13T22:13:25Z

← Older revision		Revision as of 22:13, March 13, 2022
Line 1:		Line 1:
	{{ActionCluster		{{ActionCluster
			\|image=stormsense-logo.png
	\| ~~title~~ = ~~StormSense~~ - ~~Tidal, Riverine, Inland, Surge Flood Management Program~~		\|team=Virginia Institute of Marine Science (VIMS), College of William and Mary, Commonwealth Center for Recurrent Flooding Resilience, State of VA, Department of Health
	\| team = Virginia Institute of Marine Science (VIMS), College of William and Mary, Commonwealth Center for Recurrent Flooding Resilience, State of VA, Department of Health		\|leader=Jon Loftis
	\| leader = Jon Loftis		\|imagecaption=StormSense
	~~\| image = stormsense-logo.png~~		\|municipalities=Newport News VA, City of Virginia Beach, City of Norfolk, City of Hampton, City of Portsmouth, City of Chesapeake, City of Williamsburg, York County VA
	\| imagecaption = StormSense		\|status=Implemented
	\| municipalities = Newport News VA, City of Virginia Beach, City of Norfolk, City of Hampton, City of Portsmouth, City of Chesapeake, City of Williamsburg, York County VA		\|website=https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015
	\| status = Implemented		\|description=* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.
	\| website = [https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015 ~~StormSense]~~
	~~\| download =~~

	\| description =
	* Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.
	* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.		* Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.
			\|challenges=* Communities are often at risk from different types for flooding, however, current models tend to focus on a single type/source

	\| challenges =
	* Communities are often at risk from different types for flooding, however, current models tend to focus on a single type/source
	* Sensors and gauges are typically deployed to detect single types of flooding (riverine, tidal, rainfall, etc.)		* Sensors and gauges are typically deployed to detect single types of flooding (riverine, tidal, rainfall, etc.)
	* Forecast model integration with existing GIS systems for short term pre-disaster planning and deployment of resources		* Forecast model integration with existing GIS systems for short term pre-disaster planning and deployment of resources
			\|solutions=A Long-Term Predictive Modeling Plan for local, regional, national, and global applications described [https://wm1693.app.box.com/s/v2nw4b01cwj1py6xwaxi6i7r0hbl9s57 here].
	\| solutions =		\|requirements=* Determine applicable models best suited to local conditions
	A Long-Term Predictive Modeling Plan for local, regional, national, and global applications described [https://wm1693.app.box.com/s/v2nw4b01cwj1py6xwaxi6i7r0hbl9s57 here].


	\| requirements =
	* Determine applicable models best suited to local conditions
	* Beginning with tidal/surge modeling, conduct local verification of models vs. “ground truth”		* Beginning with tidal/surge modeling, conduct local verification of models vs. “ground truth”
	* Determine locations for additional sensors and types		* Determine locations for additional sensors and types
Line 32:		Line 19:
	* Recruit/train local personnel to take real-time readings to update the forecasting		* Recruit/train local personnel to take real-time readings to update the forecasting
	* Expand the program to neighboring jurisdictions, then regionally		* Expand the program to neighboring jurisdictions, then regionally
			\|kpi=* Verify the accuracy of the VIMS TideWatch predictions with post-storm analysis



	\| kpi =
	* Verify the accuracy of the VIMS TideWatch predictions with post-storm analysis
	* Verify the accuracy of the multi-flood type models with post-storm analysis with future goals are to improve prediction of flood depths and extents by 10% between stages 2 and 3; data was collected during Jan. 2016 winter storm event; not yet validated.		* Verify the accuracy of the multi-flood type models with post-storm analysis with future goals are to improve prediction of flood depths and extents by 10% between stages 2 and 3; data was collected during Jan. 2016 winter storm event; not yet validated.
			\|measurement=* Statistical analysis of forecasts vs. time issued, actual flood area and depth.


	\| measurement =
	* Statistical analysis of forecasts vs. time issued, actual flood area and depth.
	* Emergency response-time analytics during upcoming flood scenarios		* Emergency response-time analytics during upcoming flood scenarios
			\|standards=* Sensors utilizing common internet protocols over the city’s WiFi and existing SCADA systems


	\| standards =
	* Sensors utilizing common internet protocols over the city’s WiFi and existing SCADA systems
	* Crowd sourced data collection via a smartphone application		* Crowd sourced data collection via a smartphone application
	* Modeling will be accessible via a website		* Modeling will be accessible via a website
	* Linkages to alerting would be via the flood model’s Online GIS Data Release Platform and potentially through the SLR mobile App		* Linkages to alerting would be via the flood model’s Online GIS Data Release Platform and potentially through the SLR mobile App
	* Expand the program and modeled areas to neighboring jurisdictions, then regionally via A Long-Term Predictive Modeling Plan for local, regional, national, and global applications		* Expand the program and modeled areas to neighboring jurisdictions, then regionally via A Long-Term Predictive Modeling Plan for local, regional, national, and global applications
			\|impacts=* Predicts the timing of flooding and flooded evacuation routes

	~~\| cybersecurity =~~

	\| impacts =
	* Predicts the timing of flooding and flooded evacuation routes
	* Aids in rerouting emergency routes for public safety		* Aids in rerouting emergency routes for public safety
	* Saves lives and reduces property damage		* Saves lives and reduces property damage
	* Identified future mitigation projects		* Identified future mitigation projects
			\|demonstration=* Phase I Pilot/Demonstration:

	\| demonstration =

	* Phase I Pilot/Demonstration:
	# Deploy the VIMS forecast and Tidal/Surge maps		# Deploy the VIMS forecast and Tidal/Surge maps
	# Deploy the data collection application		# Deploy the data collection application
Line 77:		Line 42:
	# Add additional TideWatch gauges in the James River		# Add additional TideWatch gauges in the James River
	# Expand the project throughout the Peninsula and into other parts of the Hampton Roads Region		# Expand the project throughout the Peninsula and into other parts of the Hampton Roads Region
			\|supercluster=Public Safety
			\|year=2016, 2017, 2018
	\| supercluster = Public Safety		\|title=StormSense - Tidal, Riverine, Inland, Surge Flood Management Program
	\| year = 2017

	}}		}}

	~~[[Category:Year_2016]]~~
	~~[[Category:Year_2018]]~~