Net Primary Productivity: 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:

Net Primary Productivity: Seasonal Max Values

Geospatial_Data_Presentation_Form: raster digital data

Other_Citation_Details: Original data source: NOAA CoastWatch; Seasonal Maximum composites generated by the Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University

Description:

Abstract:

In the surface ocean, net primary productivity (NPP) is the amount of organic carbon generated by photosynthesis in planktonic organisms minus the amount of organic carbon used by these organisms in respiration. Primary producers form the base of the food chain and generate the biomass that sustains all life in the ocean. NOAA CoastWatch provides a measurement of primary productivity based on a number of satellite measurements. These data represent seasonal 'max' values of ocean NPP (2011, 2012, 2013) and were generated utilizing data available from NOAA CoastWatch. Data were processed to monthly 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.

NOAA CoastWatch Primary Productivity is an EXPERIMENTAL dataset, distributed for scientific evaluation NOAA CoastWatch accepts no liability for use of these data products. It is recommended that these products NOT be used for navigation. The source dataset utilized satellite measurements of photosynthetically available radiation (PAR), chlorophyll-a concentration, and sea surface temperature (SST). The method used to calculate the dataset follows the primary productivity model developed by Behrenfeld and Falkowski, 1997. This model uses these three variables to visualize the rate of primary productivity by determining how well light penetrates the water column. When there is a higher density of primary producers in the water column, the light penetration will decrease and vice versa.

FOR FULL METADATA SUPPORTING THE ORGINAL DATA USED FOR THE SEASONAL COMPILATIONS, PLEASE REFER TO SOURCE DOCUMENTATION AT NOAA CoastWatch: <http://coastwatch.noaa.gov> ; <http://coastwatch.pfeg.noaa.gov/infog/PP_bfp1_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

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; primary productivity model: Behrenfeld, M.J., and P.G. Falkowski, 1997. A consumer's guide to phytoplankton primary productivity models. Limnol. Oceanogr., 42(7), 1479-1491.

Native_Data_Set_Environment:

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.2.3552

Data_Quality_Information:

Lineage:

Source_Information:

Source_Citation:

Citation_Information:

Title: ERDDAP: Primary Productivity Data Order Form

Online_Linkage:

<http://coastwatch.pfeg.noaa.gov/erddap/griddap/erdPPbfp1mday.html>

Type_of_Source_Media: onLine

Source_Citation_Abbreviation: ERDDAP: Primary Productivity Data Order Form

Source_Contribution: NOAA Coastwatch: ERDDAP: Primary Productivity

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Vector

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label:

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.

Attribute:

Attribute_Label: VALUE

Attribute:

Attribute_Label: COUNT

Metadata_Reference_Information:

Metadata_Date: 20150804

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.