Pressure time series measurements collected at Madeira Beach, Florida

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Frequently anticipated questions:


What does this data set describe?

Title:
Pressure time series measurements collected at Madeira Beach, Florida
Abstract:
Pressure loggers were deployed at two sites at Madeira Beach, Florida: MB1, located 30.9 kilometers (km) offshore at 21.0-meters (m) depth (27.71652, -83.09532) from October 2021 to October 2023; and MB2, located 1.9 kilometers from the shoreline at 5.6-m depth (27.78897, -82.81229) from March 2021 to September 2023. This data release also includes a single pressure logger deployment at site MB3, located 23 meters northwest of MB2 (27.78910, -82.81248) at 5.7-m depth from May 2021 to August 2021.
Supplemental_Information:
Following USGS St. Petersburg Coastal and Marine Science Center (SPCMSC) data management protocols, these data were assigned a USGS field activity number (FAN), 2021-311-FA. Additional survey and data details are available on the Coastal and Marine Geoscience Data System (CMGDS) at: https://cmgds.marine.usgs.gov/fan_info.php?fan=2021-311-FA
  1. How might this data set be cited?
    Vargas-Babilonia, Priscila, Torres-Garcia, Legna M., Thompson, David M., Buckley, Mark L., Palmsten, Margaret L., Brown, Jennifer A., Reynolds, Billy J., and Galbraith, Benjamin A., 20250308, Pressure time series measurements collected at Madeira Beach, Florida:.

    This is part of the following larger work.

    Vargas-Babilonia, Priscila, Torres-Garcia, Legna M., Thompson, David M., Buckley, Mark L., Palmsten, Margaret L., Brown, Jennifer A., Reynolds, Billy J., and Galbraith, Benjamin A., 20250306, Oceanographic Time Series Measurements Collected at Madeira Beach, Florida: U.S. Geological Survey data release doi:10.5066/P9HZKIWB, U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -83.09532
    East_Bounding_Coordinate: -82.81229
    North_Bounding_Coordinate: 27.78910
    South_Bounding_Coordinate: 27.71652
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 10-Mar-2021
    Ending_Date: 06-Oct-2023
    Currentness_Reference:
    ground condition
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: raster digital data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Raster data set.
    2. What coordinate system is used to represent geographic features?
      Horizontal positions are specified in geographic coordinates, that is, latitude and longitude. Latitudes are given to the nearest 0.00001. Longitudes are given to the nearest 0.00001. Latitude and longitude values are specified in Decimal degrees. The horizontal datum used is D_WGS_1984.
      The ellipsoid used is WGS_1984.
      The semi-major axis of the ellipsoid used is 6378137.000000.
      The flattening of the ellipsoid used is 1/298.257224.
      Vertical_Coordinate_System_Definition:
      Altitude_System_Definition:
      Altitude_Datum_Name: North American Vertical Datum 1988
      Altitude_Resolution: 0.1
      Altitude_Distance_Units: meters
      Altitude_Encoding_Method:
      Explicit elevation coordinate included with horizontal coordinates
      Depth_System_Definition:
      Depth_Datum_Name: Mean sea level
      Depth_Resolution: 0.1
      Depth_Distance_Units: meters
      Depth_Encoding_Method: Explicit depth coordinate included with horizontal coordinates
  7. How does the data set describe geographic features?
    Entity_and_Attribute_Overview:
    The Climate and Forecast (CF)-compliant metadata (version CF-1.8) in the header of the netCDF files provide information about the conventions used for attributes in the dataset. Times are in Coordinated Universal Time (UTC). These datasets include measurements during hurricanes Ian (September 2022), Nicole (November 2022), and Idalia (August 2023). NetCDF filenames include site ID (MB1, MB2, MB3), deployment date (YYYYMMDD), an abbreviation of the instrument type ("P" for pressure logger), "b" or "cont" for burst or continuous pressure sampling mode, and "cal" for calibrated pressure data. Files are available for download individually on the data release webpage, or all files compressed into a single zip file, MadeiraBeach_Pressure.zip.
    Entity_and_Attribute_Detail_Citation:
    The entity and attribute information were generated by the individual and/or agency identified as the originator of the dataset. Please review the rest of the metadata record for additional details and information.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Priscila Vargas-Babilonia
    • Legna M. Torres-Garcia
    • David M. Thompson
    • Mark L. Buckley
    • Margaret L. Palmsten
    • Jennifer A. Brown
    • Billy J. Reynolds
    • Benjamin A. Galbraith
  2. Who also contributed to the data set?
  3. To whom should users address questions about the data?
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
    Attn: USGS SPCMSC Data Management
    600 4th St S
    St Petersburg, FL

    727-502-8000 (voice)
    gs-g-spcmsc_data_inquiries@usgs.gov

Why was the data set created?

The U.S. Geological Survey (USGS) deployed a series of oceanographic instruments at Madeira Beach, Florida, from 2021-2023 to measure water levels, temperature, waves, and three-dimensional flow velocities throughout the water column. The instruments used include (1) Spotter wave buoys with Smart Moorings, (2) RBR pressure loggers, and (3) RDI Sentinel-V Acoustic Doppler Current Profilers (ADCPs). In conjunction with beach elevation surveys (Brown and others, 2018) and video camera monitoring, these data will be used for the development and validation of forecasts for a variety of coastal processes such as shoreline change, total water level, wave runup, and dune erosion during extreme storms.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: 2023 (process 1 of 2)
    Pressure loggers were deployed in three locations at Madeira Beach, Florida during 11 separate time periods. USGS divers arrived via boat at each site and attached the instrument to a frame. At site MB1, the pressure logger was attached to a rod on a 178-pound (lb) steel base and deployed from: 2021/10/27-2022/06/02, 2022/09/23-2023/01/12, 2023/01/12-2023/05/04, and 2023/05/04-2023/10/06. At site MB2, the pressure logger was attached to a steel frame drilled to the seafloor and deployed from: 2021/03/10-2021/06/04, 2021/11/19-2022/02/18, 2022/06/06-2022/09/23, 2022/09/23-2023/01/12, 2023/01/12-2023/05/04, and 2023/05/04-2023/09/26. At site MB3, the pressure logger was attached to a fiberglass grate with four, 45-lb weights and deployed from: 2021/05/06-2021/08/06. After each data collection period, divers went back to the site to recover and swap out the pressure loggers for new ones. Site coordinates were measured by a handheld Garmin© GPSmap 62s. The height from the seabed to the pressure sensor was measured with a ruler by the divers at the site during each deployment and recovery.
    Date: 2024 (process 2 of 2)
    The instrument data were processed and converted into network common data form (netCDF, .nc) files with the scripts runrskcsv2cdf.py and runrskcdf2nc.py from stglib python libraries (Nowacki and others, 2024), a package of code to process data consistent with procedures of the USGS Coastal/Marine Hazards and Resources Program. More information about stglib can be found here: https://stglib.readthedocs.io/en/latest/. The netCDFs contain the data trimmed for the period in which the instrument was in the water. Details of which portions of data were flagged and replaced with the fill value are available in the netCDF global attributes or in the data quality section of the metadata. Attributes conforming to CF (Climate and Forecast) Metadata Convention (version 1.8) were added to each file by stglib. Times are in Coordinated Universal Time (UTC). These datasets include measurements during hurricanes Ian (September 2022), Nicole (November 2022), and Idalia (August 2023). NetCDF filenames include site ID (MB1, MB2, MB3), deployment date (YYYYMMDD), an abbreviation of the instrument type ("P" for pressure logger), "b" or "cont" for burst or continuous pressure sampling mode, and "cal" for calibrated pressure data. Person who carried out this activity:
    Priscila Vargas-Babilonia
    U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
    Physical Scientist
    600 4th Street South
    St. Petersburg, FL
    USA

    727-502-8104 (voice)
    pvargas-babilonia@usgs.gov
    Data sources produced in this process:
    • *.nc
  3. What similar or related data should the user be aware of?
    Brown, J.A., Birchler, J.J., Thompson, D.M., Long, J.W., and Seymour, A.C., 20180314, Beach Profile Data Collected From Madeira Beach, Florida: U.S. Geological Survey data release doi:10.5066/F7T43S94, U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.

    Online Links:

    Nowacki, D.J., Suttles, S.E., Bales, R.D., and De Meo, O.A., 20241202, stglib: Oceanographic Time Series Data Processing Library: U.S. Geological Survey software release doi:10.5066/P13IQYFW, U.S. Geological Survey - Pacific Coastal and Marine Science Center, Santa Cruz, CA.

    Online Links:


How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    The RBRvirtuoso³ and RBRsolo³ pressure sensors have an initial pressure accuracy of ±0.05% full scale and a pressure resolution of <0.001% full scale.
  2. How accurate are the geographic locations?
    Site location was obtained from a handheld global positioning system (GPS) Garmin© GPSmap 62s with a nominal accuracy of 3-5 meters 95% of the time (Wide Area Augmentation System [WAAS] accuracy in North America). Locations were collected in the World Geodetic System of 1984 (WGS84) coordinate system.
  3. How accurate are the heights or depths?
    Orthometric elevations were projected to the North American Vertical Datum of 1988 (NAVD88) and were estimated using NOAA's VDatum tool with estimates of local mean sea level from the corrected pressure data from the deployment. For these data, the uncertainties for vertical position are considered ~ 0.10 m.
  4. Where are the gaps in the data? What is missing?
    Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details. Gaps between deployments were caused by factors such as instrument failure, premature battery depletion, or delays in the scheduled deployment. Data quality assurance and control involved inspecting the raw data and removing spurious values, particularly instances where the sensor incorrectly recorded a pressure of zero (Nowacki and others, 2024).
  5. How consistent are the relationships among the observations, including topology?
    Pressure sensor data were compared to local atmospheric pressure before deployment and an offset was determined. This offset along with the time series of local atmospheric data were used to find corrected pressure data (variable name "P_1ac" and standard_name "sea_water_pressure_due_to_sea_water" in the netCDF files).

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints No access constraints. Please see 'Distribution Information' for details.
Use_Constraints These data are marked with a Creative Common CC0 1.0 Universal License. These data are in the public domain and do not have any use constraints.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
    Attn: USGS SPCMSC Data Management
    600 4th St S
    St. Petersburg, FL

    727-502-8000 (voice)
    gs-g-spcmsc_data_inquiries@usgs.gov
  2. What's the catalog number I need to order this data set? MB120211027Pcont-cal.nc, MB120230112Pcont-cal.nc, MB120230504Pcont-cal.nc, MB220210310Pb-cal.nc, MB220211119Pcont-cal.nc, MB220220606Pcont-cal.nc, MB220220923Pcont-cal.nc, MB220230112Pcont-cal.nc, MB220230504Pcont-cal.nc, MB320210506Pcont-cal.nc
  3. What legal disclaimers am I supposed to read?
    Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
  4. How can I download or order the data?
    • Availability in digital form:
      Data format: Time series data in netCDF format following Climate and Forecast (CF) Metadata Conventions version 1.8. in format NetCDF (version netCDF-4, CF-1.8) Size: 2666
      Network links: https://doi.org/10.5066/P9HZKIWB
    • Cost to order the data: None

  5. What hardware or software do I need in order to use the data set?
    These data can be viewed with any software capable of reading netCDF files.

Who wrote the metadata?

Dates:
Last modified: 08-Mar-2025
Metadata author:
U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
Attn: USGS SPCMSC Data Management
600 4th St S
St. Petersburg, FL

727-502-8000 (voice)
gs-g-spcmsc_data_inquiries@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)

This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/MadeiraBeach_Pressure_metadata.faq.html>
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