NOAA ESRI Grid - depth predictions bathymetry model in New York offshore planning area from Biogeography Branch
Data Set (DS) | National Centers for Coastal Ocean Science (NCCOS)GUID: gov.noaa.nmfs.inport:38949 | Updated: August 15, 2023 | Published / External
Summary
Short Citation
National Centers for Coastal Ocean Science, 2024: NOAA ESRI Grid - depth predictions bathymetry model in New York offshore planning area from Biogeography Branch, https://www.fisheries.noaa.gov/inport/item/38949.
Full Citation Examples
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.
Distribution Information
-
Offline Data
Data not yet available online.
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)
Controlled Theme Keywords
environment, oceans
Child Items
Type | Title |
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Entity | Estimated Depth |
Contact Information
Point of Contact
NCCOS Scientific Data Coordinator
NCCOS.data@noaa.gov
Metadata Contact
NCCOS Scientific Data Coordinator
NCCOS.data@noaa.gov
Extents
-75° W,
-69° E,
42° N,
37° S
2012-05
Item Identification
Title: | NOAA ESRI Grid - depth predictions bathymetry model in New York offshore planning area from Biogeography Branch |
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Short Name: | New_York_Bathymetry_Model_Depth |
Status: | Completed |
Publication Date: | 2012-05 |
Abstract: |
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. |
Purpose: |
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). |
Notes: |
565 |
Keywords
Theme Keywords
Thesaurus | Keyword |
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ISO 19115 Topic Category |
environment
|
ISO 19115 Topic Category |
oceans
|
UNCONTROLLED | |
Geospatial Platform | OceanCommunity |
NOS Data Explorer Topic Category | Bathymetry/Topography |
None | bathymetry/topography |
None | depth |
None | environment |
None | New York |
None | prediction |
None | Seafloor |
None | spatial planning |
None | uncertainty |
Temporal Keywords
Thesaurus | Keyword |
---|---|
UNCONTROLLED | |
None | Long-term average determined by input data |
Spatial Keywords
Thesaurus | Keyword |
---|---|
UNCONTROLLED | |
None | Long Island |
None | Mid-Atlantic |
None | New York Bight |
None | New York Offshore Planing Area |
None | Northwest Atlantic Ocean |
Physical Location
Organization: | National Centers for Coastal Ocean Science |
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City: | Silver Spring |
State/Province: | MD |
Data Set Information
Data Set Scope Code: | Data Set |
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Maintenance Frequency: | None Planned |
Data Presentation Form: | raster digital data |
Entity Attribute Overview: |
Raster values correspond to estimates of depth below MLLW. Estimates are based on a bathymetric geostatistical model developed using NOS hydrographic surveys. |
Entity Attribute Detail Citation: |
For more information see 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. |
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. |
Data Set Credit: | CCMA credits these people for deriving this dataset: M. Poti, B.P. Kinlan, and Menza, C. |
Support Roles
Data Steward
Date Effective From: | 2012-05 |
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Date Effective To: | |
Contact (Position): | NCCOS Scientific Data Coordinator |
Email Address: | NCCOS.data@noaa.gov |
Distributor
Date Effective From: | 2012-05 |
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Date Effective To: | |
Contact (Position): | NCCOS Scientific Data Coordinator |
Email Address: | NCCOS.data@noaa.gov |
Metadata Contact
Date Effective From: | 2012-05 |
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Date Effective To: | |
Contact (Position): | NCCOS Scientific Data Coordinator |
Email Address: | NCCOS.data@noaa.gov |
Point of Contact
Date Effective From: | 2012-05 |
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Date Effective To: | |
Contact (Position): | NCCOS Scientific Data Coordinator |
Email Address: | NCCOS.data@noaa.gov |
Principal Investigator
Date Effective From: | 2012-05 |
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Date Effective To: | |
Contact (Person): | Menza, Charles |
Address: |
1305 East-West Hwy Silver Spring, MD 20910 |
Email Address: | Charles.menza@noaa.gov |
Phone: | 240-533-0372 |
Fax: | 301-713-4388 |
Extents
Currentness Reference: | 201205 |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -75 | |
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E° Bound: | -69 | |
N° Bound: | 42 | |
S° Bound: | 37 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Discrete |
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Start: | 2012-05 |
Spatial Information
Spatial Representation
Representations Used
Grid: | Yes |
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Grid Representation 1
Dimension Count: | 3 | ||||
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Cell Geometry: | Area | ||||
Transformation Parameters Available?: | No | ||||
Axis Dimension 1 |
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Axis Dimension 2 |
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Axis Dimension 3 |
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Access Information
Security Class: | Unclassified |
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Data Access Procedure: |
Contact Distributor for instructions on how to acquire dataset.; |
Data Access Constraints: |
Data not yet available online. |
Data 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) |
Distribution Information
Distribution 1
Download URL: | http://coastalscience.noaa.gov/projects/download.aspx?fpath=D%3a%5cWebsites%5cNCCOS%5cprojects-attachments%5c80%5cNY_assessment_data_package.zip |
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Distributor: | |
Description: |
Offline Data |
File Type (Deprecated): | zip file |
Compression: | Zip |
URLs
URL 1
URL: | http://coastalscience.noaa.gov/projects/detail?key=80 |
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URL Type: |
Online Resource
|
Activity Log
Activity Log 1
Activity Date/Time: | 2015-05-27 |
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Description: |
Date that the source FGDC record was last modified. |
Activity Log 2
Activity Date/Time: | 2017-04-05 |
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Description: |
Converted from FGDC Content Standard for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. |
Activity Log 3
Activity Date/Time: | 2017-09-13 |
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Description: |
Partial upload of Spatial Info section only. |
Activity Log 4
Activity Date/Time: | 2017-11-01 |
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Description: |
Replaced entire Lineage section to populate new Source Contribution field. |
Activity Log 5
Activity Date/Time: | 2018-02-08 |
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Description: |
Partial upload of Positional Accuracy fields only. |
Data Quality
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. |
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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. |
Lineage
Sources
National Ocean Service (NOS) Hydrographic Survey Data
Contact Name: | 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 |
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Publish Date: | 2011-04-21 |
Extent Type: | Discrete |
Extent Start Date/Time: | 2011-04-21 |
Citation URL: | http://www.ngdc.noaa.gov/mgg/bathymetry/hydro.html |
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 |
Process Steps
Process Step 1
Description: |
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. |
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Process Date/Time: | 2012-05-01 00:00:00 |
Source: | National Ocean Service (NOS) Hydrographic Survey Data |
Child Items
Rubric scores updated every 15m
Type | Title | |
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Entity | Estimated Depth |
Catalog Details
Catalog Item ID: | 38949 |
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GUID: | gov.noaa.nmfs.inport:38949 |
Metadata Record Created By: | Tyler Christensen |
Metadata Record Created: | 2017-04-05 12:50+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2023-08-15 17:09+0000 |
Metadata Record Published: | 2018-02-08 |
Owner Org: | NCCOS |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2018-02-08 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2019-02-08 |