Fronts: Seasonal Max Values

Metadata:

• Identification_Information
• Data_Quality_Information
• Spatial_Data_Organization_Information
• Entity_and_Attribute_Information
• Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Title: Fronts: Seasonal Max Values

Geospatial_Data_Presentation_Form: raster digital data

Other_Citation_Details: Original data source: NOAA CoastWatch

Description:

Abstract:

Fronts play an important role in upper ocean processes. Fronts can impact ocean fisheries, for example, by influencing the spatial distribution of biological productivity and by controlling the accumulation of marine debris, which serves as a beacon to higher trophic levels. The NOAA CoastWatch Oceanic Front Probability Index measures the probability of sea surface temperature front formation based on data from NOAA's GOES satellites. This dataset represents seasonal 'max' values of ocean fronts (2012, 2013) and were generated using fronts probability data available from CoastWatch. The data were processed to monthy rasters, then computed into composites representing seasonal maximum values. The seasons are as follows: Winter- January, February, December; Spring- March, April, May; Summer- June, July, August. Fall- September, October, November.

The Oceanic Front Probability Index is an EXPERIMENTAL dataset, distributed for scientific evaluation. The source dataset by NOAA CoastWatch is based on sea surface temperature (SST) data; daily SST averages were calculated, then an edge detection algorithm was applied to identify fronts. The index for front probability was then calculated using the number of times a pixel is counted as a front divided by cloud free days for the time period. This helps to eliminate days in which the fronts are masked out by clouds. NOAA CoastWatch accepts no liability for use of these data products. NOT to be used for navigation.

PLEASE REFER TO METADATA SUPPORTING THE ORGINAL DATA USED FOR THE SEASONAL COMPILATIONS, PLEASE REFER TO SOURCE DOCUMENTATION AT NOAA CoastWatch: <http://coastwatch.noaa.gov> ; Data Summary: <http://coastwatch.pfeg.noaa.gov/infog/GA_tfnt_las.html>

Purpose:

The data were compiled by the Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University, in support of the MARCO Portal activities, more specifically, for oceanography themed data visualization.

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -83.280472

East_Bounding_Coordinate: -64.410968

North_Bounding_Coordinate: 47.052558

South_Bounding_Coordinate: 28.156081

Keywords:

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Category

Theme_Keyword: oceans, fronts

Place:

Place_Keyword_Thesaurus: None

Place_Keyword: Atlantic Ocean, United States east coast

Temporal:

Temporal_Keyword_Thesaurus: None

Temporal_Keyword: Winter Season: January, February, December
Temporal_Keyword: Spring Season: March, April, May
Temporal_Keyword: Summer Season: June, July, August
Temporal_Keyword: Fall Season: September, October, November

Access_Constraints: None

Use_Constraints:

Compiled for the purposes of data visualization; for original data, please refer to NOAA CoastWatch (<http://coastwatch.noaa.gov>).

Data_Set_Credit:

Original data provided by National Oceanic and Atmospheric Administration (NOAA) CoastWatch, NOAA National Ocean Service (NOS), NOAA National Weather Service (NWS); data processed for seasonal compilation by the Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University

Native_Data_Set_Environment:

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.0.3348

Data_Quality_Information:

Lineage:

Source_Information:

Source_Citation:

Citation_Information:

Title: ERDDAP: Front Probability, Monthly Composite Data Access Form

Online_Linkage:

<http://coastwatch.pfeg.noaa.gov/erddap/griddap/erdGAtfntmday.html>

Type_of_Source_Media: onLine

Source_Citation_Abbreviation: ERDDAP: Front Probability, Monthly Composite Data Access Form

Source_Contribution: NOAA Coastwatch: ERDDAP: Ocean Front Probability Index

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Vector

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: VAT_f_npp_mx_13

Attribute:

Attribute_Label: VALUE

Attribute:

Attribute_Label: COUNT

Attribute:

Attribute_Label: OBJECTID

Attribute_Definition: Internal feature number.

Attribute_Definition_Source: Esri

Attribute_Domain_Values:

Unrepresentable_Domain:

Sequential unique whole numbers that are automatically generated.

Metadata_Reference_Information:

Metadata_Date: 20160218

Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization:

Processing of NOAA data by season under the direction of Richard G. Lathrop: Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University

Contact_Address:

Address_Type: physical

Address: Rutgers, The State University of New Jersey

City: New Brunswick

State_or_Province: New Jersey

Postal_Code: 08901

Country: US

Contact_Electronic_Mail_Address: lathrop@crssa.rutgers.edu

Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001-1998

Metadata_Time_Convention: local time

Metadata_Use_Constraints:

This dataset is not to be used for navigation.

For analysis, please refer to the original NOAA CoastWatch data in NetCDF GIS data format.

Applies to seasonal data compilation (ORIGINAL DATA UTILIZED NOAA COASTWATCH DISSEMINATED DATA):
While efforts have been made to ensure that these data are accurate and reliable within the state of the art, Rutgers University cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. Rutgers University makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. Terms of Use: The user agrees to abide by the following terms of use: 1. The Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University, disseminates this data layer as-is and makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. 2. The source spatial resolution and attribute accuracy of the data may not be appropriate for site specific applications. 3. The user will read all metadata for this data product. 4. CRSSA, Rutgers University, will not be held responsible to further maintain the disseminated data. 5. Any maps, publications, reports or any other type of document produced as a result of an associated project utilizing Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University, data will credit the Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University, and authors as listed in the citation section of this metadata document.