NOAA RESTORE Science Program: A Web-based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida: Episodic Water Level Monitoring in Goodland from 2018-06-10 to 2020-01-09 (NCEI Accession 0246055)
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title: NOAA RESTORE Science Program: A Web-based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida: Episodic Water Level Monitoring in Goodland from 2018-06-10 to 2020-01-09 (NCEI Accession 0246055)
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abstract: This dataset includes in situ observations of water level collected at a high temporal resolution. Observations were collected at 28 sites along the Southwest Coast of Florida from Naples to the Ten Thousand Islands National Wildlife Preserve from 2018-06-10 to 2020-01-10. Included in this dataset are 8 sites in Goodland. Sensors were surveyed by RTK GPS and were vertically positioned at locations estimated to be slightly above local Mean High High Water targeting the collection of data during higher-than-normal water level, episodic events only (e.g., astronomically higher tides, tropical storms, etc.). Although the sensors were deployed during the 2018 and 2019 Atlantic Hurricane season, no tropical storm events were recorded. However, several small astronomically high tide events were observed. The primary variable being observed was water pressure when the sensors were immersed.
purpose: Southwest Florida contains the largest area of tidally influenced public lands in the Gulf of Mexico and the fastest growing urban landscape in Florida. Both the human and natural components of the ecosystem are under increasing risk due to the threats of a growing human population, sea level rise, and tropical cyclones. The project “A Web-based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida” created inundation, salinity distribution, habitat distribution maps, beach and barrier islands vulnerability, and economic impacts maps for various climate and sea level rise scenarios and integrated the maps into a web-based interactive decision-support tool that enables users to identify areas of high vulnerability. The intent of this dataset was to provide water level data for use in the verification and validation of the tide, surge, and wave modeling components of ACUNE through observations collected during episodic, higher-than-normal water level events (e.g., astronomically higher tides, tropical storms, etc.). Working with local governments, a decision-support tool was developed to aid resource managers with preservation and restoration of mangrove, marsh, and beach habitats and mitigation of future salt-water intrusion in estuaries and their associated habitats. This was accomplished in two steps. First, a suite of coupled state-of-the-art models was used to create inundation, salinity distribution, habitat distribution, beach and barrier islands vulnerability, and economic impact maps for current and future climate and for various sea level rise scenarios. The maps were then integrated into a web-based interactive decision-support tool that enables users to identify areas of high vulnerability. To ensure the tools use, end-users were trained on how to use the tool. The tool allows local governments to make strategic decisions on coastal planning, zoning, land acquisition, and restoration for coastal resiliency. The data in this accession were funded by the NOAA RESTORE Science Program under award NA17NOS4510094 to the University of Florida.
credit: Related Funding Agency: US DOC; NOAA; NOS; NCCOS; RESTORE Science Program
credit: Related Funding Agency: NOAA National Centers for Coastal Ocean Science
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title: Integrated Surface Dataset (Global), Rookery Bay Reserve, FL US, Station 99800899999, Sea Level Pressure (SLP), 2018-01-01 to 2020-10-26
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title: National Centers for Coastal Ocean Science, 2020: RESTORE Sponsored Research Project: A Web-Based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida, https://www.fisheries.noaa.gov/inport/item/58981.
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title: RESTORE Project: A Web-Based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida
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title: Sharp, Sean; Norby, Patrick; Angelini, Christine (2020). NOAA RESTORE Science Program: A web-based interactive decision-support tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in southwest Florida: measured and laser-scanned vegetation structure from 2017-11-27 to 2017-12-02 (NCEI Accession 0222471). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/q9mn-d869.
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title: Sheng, Y. Peter; Paramygin, Vladimir A.; Davis, Justin R. (2022). NOAA RESTORE Science Program: A Web-based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida: Flood Maps for current conditions, 2030, 2060, and 2100 under different sea level rise scenarios (NCEI Accession 0248802). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/kak7-1a89.
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beginPosition: 2018-06-10
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supplementalInformation: Submission Package ID: J18XXN
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description: Parameter or Variable: WATER LEVEL (measured); Units: m; Observation Category: in situ; Sampling Instrument: water level sensor; Sampling and Analyzing Method: 28 sensors were designed and built from scratch and then deployed/recovered twice. Sensors recorded the absolute pressure of the water column above the sensor (which is ultimately converted to water level). Sensors were configured to record at 128 hz which enables the resolution of waves, tides and surge. After a deployment, the sensors were opened, data recovered, and then post-processed. The first intermediate post-processing step includes unpacking and decrypting the data, determining the time of each observation, and conversion of observation units. Then as a final post-processing step, water pressure measurements were converted to a delta water level above the sensor using a hydrostatic approximation. Time varying air pressure used in the conversion were obtained from three nearby NCEI sites.; Data Quality Method: The pressure sensors were calibrated in a laboratory with the distance from the pressure sensor port to the top of the union collar determined. Each sensor was provided with a preferential ordering of the site in case data for a particular time-period was missing. With the delta water level determined, this value was adjusted to be referenced to the collar of the union, the location at which the GPS fixes to Geoid12a (NAVD88) were made. As the sensors were mounted to potentially growing vegetation, fixes were obtained at both deployment and recovery..
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role: (CI_RoleCode) custodian
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acquisitionInformation: (MI_AcquisitionInformation)
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code: GPS
type: GPS
description: Global Positioning System receiver satellite-based instrument used for geo-location, positioning and navigation
instrument: (MI_Instrument)
identifier: (MD_Identifier)
code: pressure sensor
type: pressure sensor
description: GCMD instruments - In Situ/Laboratory Instruments > Pressure/Height Meters > PRESSURE SENSORS ASFA Thesaurus - pressure sensors http://www4.fao.org/asfa/asfa.htm
instrument: (MI_Instrument)
identifier: (MD_Identifier)
code: water level recorder
type: water level recorder
description: A seabed mounted unit calculating water level by means of precise measurements of hydrostatic pressure.
