gov.noaa.nmfs.inport:38949 eng UTF8 dataset National Centers for Coastal Ocean Science resourceProvider NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov pointOfContact 2025-05-15T19:16:14 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 3 row 5975 column 5335 vertical 1 area 0 NOAA ESRI Grid - depth predictions bathymetry model in New York offshore planning area from Biogeography Branch New_York_Bathymetry_Model_Depth 2012-05 publication NOAA/NMFS/EDM 38949 https://www.fisheries.noaa.gov/inport/item/38949 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information Menza, Charles 240-533-0372 301-713-4388 1305 East-West Hwy Silver Spring MD 20910 Charles.menza@noaa.gov principalInvestigator https://coastalscience.noaa.gov/projects/detail?key=80 WWW:LINK-1.0-http--link Citation URL Online Resource download This dataset represents depth predictions from a bathymetric model developed for the New York offshore spatial planning area. The model also includes spatially-explicit uncertainty estimates represented in another raster dataset. The model used to derive depth estimates builds on previous predictive bathymetric modeling approaches in the region (e.g. Calder, 2006), provides a continuous gridded bathymetric surface, and allows users to view and explore spatial variation in the vertical accuracy of depth predictions. The spatial resolution of the model is identical to the National Oceanic and Atmospheric Administration's (NOAA) Coastal Relief Model (CRM; horizontal resolution approximately 83.8 m) in the study area and was built from the same database of hydrographic survey points. These depth predictions were developed to be viewed along with model uncertainty estimates. Together depth predictions and uncertainty estimates were made to prioritize locations for new bathymetric surveys with high uncertainty and better understand the reliability of depth predictions and derived spatial layers (e.g., benthic habitats, positions of depth contours). CCMA credits these people for deriving this dataset: M. Poti, B.P. Kinlan, and Menza, C. completed NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov pointOfContact NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov custodian notPlanned OceanCommunity theme Geospatial Platform Bathymetry/Topography theme NOS Data Explorer Topic Category New York Seafloor bathymetry/topography depth environment prediction spatial planning uncertainty theme Long-term average determined by input data temporal Long Island Mid-Atlantic New York Bight New York Offshore Planing Area Northwest Atlantic Ocean place DOC/NOAA/NOS/NCCOS > National Centers for Coastal Ocean Science, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 22. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian ny_spatialplan project InPort otherRestrictions Cite As: National Centers for Coastal Ocean Science, [Date of Access]: NOAA ESRI Grid - depth predictions bathymetry model in New York offshore planning area from Biogeography Branch [Data Date Range], https://www.fisheries.noaa.gov/inport/item/38949. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Access Constraints: Data not yet available online. otherRestrictions Use Constraints: Please reference NOAA/NOS/NCCOS/CCMA/Biogeography Branch when utilizing these data in a report or peer reviewed publication. Additionally, knowledge of how this dataset has been of use and which organizations are utilizing it is of great benefit for ensuring this information continues to meet the needs of the management and research communities. Therefore, it is requested but not mandatory, that any user of this data supply this information to the Project Manager: Charles Menza (charles.menza@noaa.gov) otherRestrictions Distribution Liability: These data were prepared by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed in this report, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Any views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. Although all data have been used by NOAA, no warranty, expressed or implied, is made by NOAA as to the accuracy of the data and/or related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by NOAA in the use of these data or related materials. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 38949 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/nccos/dmp/pdf/38949.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference grid eng; US environment oceans -75 -69 37 42 | Currentness: 201205 2012-05-01 false eng false Estimated Depth 2017-04-17 publication zip file Zip NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov distributor https://coastalscience.noaa.gov/projects/download.aspx?fpath=D%3a%5cWebsites%5cNCCOS%5cprojects-attachments%5c80%5cNY_assessment_data_package.zip WWW:LINK-1.0-http--link https://coastalscience.noaa.gov/projects/download.aspx?fpath=D%3a%5cWebsites%5cNCCOS%5cprojects-attachments%5c80%5cNY_assessment_data_package.zip Offline Data download dataset Horizontal Positional Accuracy The accuracy of this raster depends on the source and resolution of the data samples. See the following report for more information horizontal positional accuracy: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow (eds.). 2012. A Biogeographic Assessment of Seabirds, Deep Sea Corals and Ocean Habitats of the New York Bight: Science to Support Offshore Spatial Planning. NOAA Technical Memorandum NOS NCCOS 141. Silver Spring, MD. 224 pp. Vertical Positional Accuracy The accuracy of this surface depends on the source and resolution of the data samples. See the following report for more information: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow (eds.). 2012. A Biogeographic Assessment of Seabirds, Deep Sea Corals and Ocean Habitats of the New York Bight: Science to Support Offshore Spatial Planning. NOAA Technical Memorandum NOS NCCOS 141. Silver Spring, MD. 224 pp. Completeness Report The following reference provides information on omissions, selection criteria, generalization, definitions used, and other rules used to derive the data set: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow (eds.). 2012. A Biogeographic Assessment of Seabirds, Deep Sea Corals and Ocean Habitats of the New York Bight: Science to Support Offshore Spatial Planning. NOAA Technical Memorandum NOS NCCOS 141. Silver Spring, MD. 224 pp. Conceptual Consistency All users should independently analyze the dataset according to their own needs and standards to determine data usability. A geostatistical modeling approach was used to predict a continuous, gridded bathymetric surface from scattered sounding points and to generate corresponding spatially-explicit uncertainty estimates. Geostatistical methods are based on the premise that neighboring samples are more similar than samples farther away (Tobler, 1970), a phenomenon known as spatial autocorrelation. Spatial autocorrelation was detected, quantified and modeled by semivariogram analysis, and used to make predictions at locations that have not been measured. See the following report for more information on this layer's lineage. Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow (eds.). 2012. A Biogeographic Assessment of Seabirds, Deep Sea Corals and Ocean Habitats of the New York Bight: Science to Support Offshore Spatial Planning. NOAA Technical Memorandum NOS NCCOS 141. Silver Spring, MD. 224 pp. 2012-05-01T00:00:00 Source Contribution: Hydrographic survey data was used as input to a geostatistical model. This raster dataset is output from the geostatistical model. | Source Geospatial Form: vector digital data | Type of Source Media: online National Ocean Service (NOS) Hydrographic Survey Data 2011-04-21 publication Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS), Center for Coastal Monitoring and Assessment (CCMA), Biogeography Branch https://www.ngdc.noaa.gov/mgg/bathymetry/hydro.html WWW:LINK-1.0-http--link Source Citation URL Source Citation URL information 2011-04-21