Sea Turtle Beaching Probability Index (BPI) in the Northern Gulf of America from 2017-01-01 to present
This dataset contains the sea turtle beaching probability index (BPI) for the northern Gulf of America region since 2017-01-01. The data files are in CSV and JPEG formats. The daily CSV files contain beaching probability indexes with latitudes, longitudes, total accumulations, and stranding density log scaled radii (for plotting). The yearly CSV files contain daily accumulated BPI for the nine predefined regions. The daily JPEG files are BPI spatial distribution plots for these regions.
The BPI describes the likelihood that dead or debilitated sea turtles floating at the sea surface will be deposited on shore based on prevailing wind and currents. BPI is an indicator of favorable beaching conditions, that is, if there are drifting carcasses, they will be more likely to beach if BPI is high. This relationship between strandings and environmental conditions is relevant to understanding causes of stranding as well as the degree to which at-sea mortality may be represented by animals found on shore. The BPI applies velocity and direction of surface currents and wind from the American Seas Ocean Model (AMSEAS) of the Regional Navy Coastal Ocean Model (NCOM) to predict and describe the probability that floating turtles will be brought into shore. Within the BPI simulation, surface currents and winds from AMSEAS were used to push particles for an 8 day period based on lab and field studies of decomposition and persistence of sea turtle carcasses in the environment. Each day, at 0 h GMT, new particles were seeded onto a starting grid of 84,044 points spaced 1 nautical mile apart. This uniform grid extended from the coast to 60 nautical miles offshore, which is the furthest distance sea turtle carcasses were likely to drift based on observations. The system maintained a running tally such that on any given day all objects that are still in motion and less than 8 days old were pushed forward. Particles that encountered shallow water (<25 cm depth) stopped moving and were counted as "beached". The leeway value, the amount of "push" the wind gives a floating object was set to 3.5%, a value applicable to sea turtles or any other floating object which has about 50% of its area exposed above the sea surface.
The BPI describes the likelihood that dead or debilitated sea turtles floating at the sea surface will be deposited on shore based on prevailing wind and currents. BPI is an indicator of favorable beaching conditions, that is, if there are drifting carcasses, they will be more likely to beach if BPI is high. This relationship between strandings and environmental conditions is relevant to understanding causes of stranding as well as the degree to which at-sea mortality may be represented by animals found on shore. The BPI applies velocity and direction of surface currents and wind from the American Seas Ocean Model (AMSEAS) of the Regional Navy Coastal Ocean Model (NCOM) to predict and describe the probability that floating turtles will be brought into shore. Within the BPI simulation, surface currents and winds from AMSEAS were used to push particles for an 8 day period based on lab and field studies of decomposition and persistence of sea turtle carcasses in the environment. Each day, at 0 h GMT, new particles were seeded onto a starting grid of 84,044 points spaced 1 nautical mile apart. This uniform grid extended from the coast to 60 nautical miles offshore, which is the furthest distance sea turtle carcasses were likely to drift based on observations. The system maintained a running tally such that on any given day all objects that are still in motion and less than 8 days old were pushed forward. Particles that encountered shallow water (<25 cm depth) stopped moving and were counted as "beached". The leeway value, the amount of "push" the wind gives a floating object was set to 3.5%, a value applicable to sea turtles or any other floating object which has about 50% of its area exposed above the sea surface.
Dataset Citation
- Cite as: Wang, Zhankun; Nero, Redwood W.; Cook, Melissa; Lau, Yee H.; Larsen, Kirsten; Sallis, David; NOAA National Centers for Environmental Information; NOAA Fisheries Sea Turtle Stranding and Salvage Network (2022). Sea Turtle Beaching Probability Index (BPI) in the Northern Gulf of America from 2017-01-01 to present. [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/NCEI-Sea-Turtle-GOA-BPI. Accessed [date].
Dataset Identifiers
ISO 19115-2 Metadata
gov.noaa.nodc:NCEI-Sea-Turtle-GOA-BPI
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| Ordering Instructions | Contact NCEI for other distribution options and instructions. |
| 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 | 2017-01-01 to Present |
| Spatial Bounding Box Coordinates |
West: -98.0
East: -81.0
South: 25.0
North: 31.0
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| Data Presentation Form | Digital table - digital representation of facts or figures systematically displayed, especially in columns |
| Dataset Progress Status | Ongoing - data is continually being updated Historical archive - data has been stored in an offline storage facility |
| Data Update Frequency | Monthly |
| Supplemental Information | Beaching Probability Index (BPI) data supports the NCEI product: Beaching Probability Index Tool. |
| Purpose | This dataset is available to the public for a wide variety of uses including scientific research and analysis. |
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| Data Center keywords | NODC SUBMITTING INSTITUTION NAMES THESAURUS Global Change Master Directory (GCMD) Data Center Keywords |
| Place keywords | NODC SEA AREA NAMES THESAURUS Global Change Master Directory (GCMD) Location Keywords |
| Project keywords | NODC PROJECT NAMES THESAURUS |
| Keywords | NCEI ACCESSION NUMBER |
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Last Modified: 2026-02-04T17:45:18Z
For questions about the information on this page, please email: ncei.info@noaa.gov
For questions about the information on this page, please email: ncei.info@noaa.gov