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Dataset Overview | National Centers for Environmental Information (NCEI)

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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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.
  • Cite as: Davis, Justin R.; Van Natta, Todd (2022). 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). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0246055. Accessed [date].
gov.noaa.nodc:0246055
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Distributor NOAA National Centers for Environmental Information
+1-301-713-3277
NCEI.Info@noaa.gov
Dataset Point of Contact NOAA National Centers for Environmental Information
ncei.info@noaa.gov
Time Period 2018-06-10 to 2020-01-09
Spatial Bounding Box Coordinates
West: -81.71101
East: -81.64444
South: 25.88501
North: 25.93162
Spatial Coverage Map
General Documentation
Associated Resources
  • 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 from 2018-06-10 to 2020-01-10
    • NCEI Collection
      Navigate directly to the URL for data access and direct download.
  • Integrated Surface Dataset (Global), Marco Island, FL US, Station 72104199999, Sea Level Pressure (SLP), 2018-01-01 to 2020-10-26
  • Integrated Surface Dataset (Global), Naples Municipal Airport, FL US, Station 72203812897, Sea Level Pressure (SLP), 2018-01-01 to 2020-10-27
  • Integrated Surface Dataset (Global), Rookery Bay Reserve, FL US, Station 99800899999, Sea Level Pressure (SLP), 2018-01-01 to 2020-10-26
  • 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.
  • RESTORE Project: A Web-Based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida
  • 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.
  • 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.
    • Parent ID (indicates this dataset is related to other data):
    • gov.noaa.nodc:ACUNE-EpisodicMonitoring
Publication Dates
  • publication: 2022-02-12
  • revision: 2022-03-05
Data Presentation Form Digital table - digital representation of facts or figures systematically displayed, especially in columns
Dataset Progress Status Complete - production of the data has been completed
Historical archive - data has been stored in an offline storage facility
Data Update Frequency As needed
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.
Use Limitations
  • accessLevel: Public
  • Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
Dataset Citation
  • Cite as: Davis, Justin R.; Van Natta, Todd (2022). 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). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0246055. Accessed [date].
Cited Authors
  • Davis, Justin R.
  • Van Natta, Todd
Principal Investigators
Collaborators
  • Todd Van Natta
    University of Florida (UF)
  • Michael Barry
    The Institute for Regional Conservation
  • Britta Jessen
    Florida Department of Environmental Protection (FL DEP); Rookery Bay National Estuarine Research Reserve (RBNERR)
  • Keith Laakkonon
    Florida Department of Environmental Protection (FL DEP); Rookery Bay National Estuarine Research Reserve (RBNERR)
Contributors
Resource Providers
Points of Contact
Publishers
Acknowledgments
  • Funding Agency: US DOC; NOAA; NOS; NCCOS; RESTORE Science Program
  • Funding Agency: NOAA National Centers for Coastal Ocean Science
Theme keywords NODC DATA TYPES THESAURUS NODC OBSERVATION TYPES THESAURUS WMO_CategoryCode
  • oceanography
Global Change Master Directory (GCMD) Science Keywords Provider Scientific Terms
  • Beach
  • Mangrove
  • Marsh
  • Sea Level Pressure (SLP)
  • Water Level
  • Waves
Data Center keywords NODC COLLECTING INSTITUTION NAMES THESAURUS NODC SUBMITTING INSTITUTION NAMES THESAURUS Global Change Master Directory (GCMD) Data Center Keywords
Instrument keywords NODC INSTRUMENT TYPES THESAURUS Global Change Master Directory (GCMD) Instrument Keywords Provider Instruments
  • RTK GPS
  • water level sensor
Place keywords NODC SEA AREA NAMES THESAURUS Global Change Master Directory (GCMD) Location Keywords Provider Place Names
  • Clam Bay, FL
  • Goodland, FL
  • Marco Island, FL
  • Naples, FL
  • Rookery Bay National Estuarine Research Reserve
  • Ten Thousand Islands National Wildlife Refuge
Project keywords Provider Project Names
  • RESTORE Project, A Web-Based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida
Send2NCEI Submission Package ID
  • J18XXN
Keywords NCEI ACCESSION NUMBER
Use Constraints
  • Cite as: Davis, Justin R.; Van Natta, Todd (2022). 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). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0246055. Accessed [date].
Access Constraints
  • Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Fees
  • In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
Lineage information for: dataset
Processing Steps
  • 2022-02-12T01:41:28Z - NCEI Accession 0246055 v1.1 was published.
  • 2022-03-05T01:47:51Z - NCEI Accession 0246055 was revised and v1.2 was published.
    Rationale: Additional metadata files were received or created for this dataset. These updates were copied into the about/ directory of this accession. These updates may provide additional files or replace obsolete files. This version contains the most complete and up-to-date representation of this archival information package. All of the files received prior to this update are available in the preceding version of this accession.
Output Datasets
Lineage information for: dataset
Processing Steps
  • 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..
Acquisition Information (collection)
Instrument
  • GPS
  • pressure sensor
  • water level recorder
Last Modified: 2024-09-11T15:24:01Z
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