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Dataset Title:	SST, Pathfinder Ver 5.2 (L3C), Day, Global, 0.0417°, 1981-2012, Science Quality (8 Day Composite), Lon0360
Institution:	NOAA NCEI (Dataset ID: erdPH2sstd8day_Lon0360)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

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Draw land mask:
Y Axis Minimum:	Maximum:

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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 3.7368e+8, 1.3566528e+9;
    String axis "T";
    String calendar "gregorian";
    String coverage_content_type "coordinate";
    String ioos_category "Time";
    String long_name "Centered Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.97916, 89.97918;
    String axis "Y";
    String comment "Latitude values are the centers of the grid cells";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Latitude";
    String reference_datum "geographical coordinates, WGS84 projection";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.02082825, 359.9792;
    String axis "X";
    String comment "Longitude values are the centers of the grid cells";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Longitude";
    String reference_datum "geographical coordinates, WGS84 projection";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sea_surface_temperature {
    Float64 _FillValue -99.99000000000001;
    String cell_methods "time: mean (interval: 8.0 day)";
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String comment "Skin temperature of the ocean. This dataset contains only the highest quality data (level 5, best_quality) as defined by the GHRSST Data Specification version 2";
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Temperature";
    String long_name "Sea Surface Skin Temperature";
    String standard_name "sea_surface_skin_temperature";
    String units "degree_C";
    Float64 valid_max 45.0;
    Float64 valid_min -1.8;
  }
  sea_ice_fraction {
    Float64 _FillValue -1.28;
    String cell_methods "time: mean (interval: 8.0 day)";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String comment "Sea ice concentration data are taken from the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSISAF) Global Daily Sea Ice Concentration Reprocessing Data Set (https://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:0068294) when these data are available. The data are reprojected and interpolated from their original polar stereographic projection at 10km spatial resolution to the 4km Pathfinder Version 5.2 grid. When the OSISAF data are not available for both hemispheres on a given day, the sea ice concentration data are taken from the sea_ice_fraction variable found in the L4 GHRSST DailyOI SST product from NOAA/NCDC, and are interpolated from the 25km DailyOI grid to the 4km Pathfinder Version 5.2 grid.";
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Ice Distribution";
    String long_name "Sea Ice Fraction";
    String references "Reynolds, et al.(2006) Daily High-resolution Blended Analyses. Available at https://journals.ametsoc.org/doi/full/10.1175/2007JCLI1824.1";
    String source "NOAA/NESDIS/NCDC Daily optimum interpolation(OI) SST on 1/4-degree grid: 20121230-NCDC-L4LRblend-GLOB-v01-fv02_0-AVHRR_OI.nc.gz";
    String standard_name "sea_ice_area_fraction";
    String units "1";
    Float64 valid_max 1.0;
    Float64 valid_min 0.0;
  }
  wind_speed {
    Byte _FillValue -128;
    String _Unsigned "false";
    String cell_methods "time: mean (interval: 8.0 day)";
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String comment 
"These wind speeds were created by NCEP-DOE Atmospheric Model Intercomparison Project (AMIP-II) reanalysis (R-2) and represent winds at 10 metres above the
sea surface.";
    String coverage_content_type "modelResult";
    String height "10 m";
    String ioos_category "Wind";
    String long_name "10m Wind Speed";
    String standard_name "wind_speed";
    String units "m s-1";
    Byte valid_max 127;
    Byte valid_min 0;
  }
  l2p_flags {
    Int16 _FillValue 32767;
    Float64 colorBarMaximum 16.0;
    Float64 colorBarMinimum 0.0;
    String comment "Bit zero (0) is always set to zero to indicate infrared data. Bit one (1) is set to zero for any pixel over water (ocean, lakes and rivers). Land pixels were determined by rasterizing the Global Self-consistent Hierarchical High-resolution Shoreline (GSHHS) Database from the NOAA National Geophysical Data Center. Any 4 km Pathfinder pixel whose area is 50% or more covered by land has bit one (1) set to 1. Bit two (2) is set to 1 when the sea_ice_fraction is 0.15 or greater. Bits three (3) and four (4) indicate lake and river pixels, respectively, and were determined by rasterizing the US World Wildlife Fund's Global Lakes and Wetlands Database. Any 4 km Pathfinder pixel whose area is 50% or more covered by lake has bit three (3) set to 1. Any 4 km Pathfinder pixel whose area is 50% or more covered by river has bit four (4) set to 1.";
    String coverage_content_type "referenceInformation";
    Int16 flag_masks 1, 2, 4, 8, 16, 32, 64, 128, 256;
    String flag_meanings "microwave land ice lake river reserved_for_future_use unused_currently unused_currently unused_currently";
    String ioos_category "Quality";
    String long_name "L2P Flags";
  }
  NC_GLOBAL {
    String acknowledgement "Please acknowledge the use of these data with the following statement: These data were provided by GHRSST and the US National Oceanographic Data Center. This project was supported in part by a grant from the NOAA Climate Data Record (CDR) Program for satellites. The data were downloaded from NOAA CoastWatch-West Coast Regional Node and Southwest Fisheries Science Center's Environmental Research Division. To cite these data in a paper, please follow the instructions in the license and at this link: https://coastwatch.pfeg.noaa.gov/erddap/information.html#citeDataset";
    String cdm_data_type "Grid";
    String comment "SST from AVHRR Pathfinder";
    String contributor_name "Kenneth Casey";
    String contributor_role "Source of original L3 daily Pathfinder data";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "erd.data@noaa.gov";
    String creator_name "NOAA NMFS SWFSC ERD";
    String creator_type "institution";
    String creator_url "https://coastwatch.pfeg.noaa.gov/erddap";
    String date_created "2017-05-01T17:59:16Z";
    String date_modified "2017-05-01T17:59:16Z";
    String day_or_night "day";
    Float64 Easternmost_Easting 359.9792;
    String gds_version_id "2.0";
    Float64 geospatial_lat_max 89.97918;
    Float64 geospatial_lat_min -89.97916;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.9792;
    Float64 geospatial_lon_min 0.02082825;
    String geospatial_lon_units "degrees_east";
    String history 
"2014-02-11 The entire Pathfinder Version 5.2 dataset (daily daytime and nighttime files) was downloaded from https://data.nodc.noaa.gov/pathfinder/Version5.2 to NOAA NMFS SWFSC ERD.
2017-05-01 Multi-day composites were created by averaging, pixel by pixel, data from the daily files.
2024-11-16T12:51:23Z (local files)
2024-11-16T12:51:23Z https://coastwatch.pfeg.noaa.gov/griddap/erdPH2sstd8day_Lon0360.das";
    String id "https://coastwatch.pfeg.noaa.gov/erddap/griddap/nodcPH2sstd8day.html";
    String infoUrl "https://pathfinder.nodc.noaa.gov";
    String institution "NOAA NCEI";
    String keywords "10m, advanced, aerosol, analysis, area, atmosphere, atmospheric, avhrr, bias, center, centers, climate, collated, composite, cryosphere, data, day, deviation, difference, distribution, dynamic, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Cryosphere > Sea Ice > Ice Extent, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, Earth Science > Oceans > Sea Ice > Ice Extent, environmental, error, estimate, extent, fisheries, flag, flags, fraction, global, high, ice, ice distribution, indicator, information, l2p, l2p_flags, l3-collated, l3c, latitude, longitude, marine, measurement, national, ncei, nmfs, noaa, nodc, ocean, oceanographic, oceans, pathfinder, quality, radiometer, record, reference, resolution, science, science quality, sea, sea_ice_area_fraction, sea_ice_fraction, sea_surface_skin_temperature, sea_surface_temperature, sensor, service, single, skin, southwest, speed, sses, sst, standard, statistics, surface, swfsc, temperature, time, version, very, vhrr, wind, wind_speed, winds";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"These data are available for use without restriction.  Please acknowledge the use of these data with the following statement: \"These data were provided by GHRSST and the US National Oceanographic Data Center. This project was supported in part by a grant from the NOAA Climate Data Record (CDR) Program for satellites.\" and cite the following publication:
Casey, K.S., T.B. Brandon, P. Cornillon, and R. Evans (2010). \"The Past, Present and Future of the AVHRR Pathfinder SST Program\", in Oceanography from Space: Revisited, eds. V. Barale, J.F.R. Gower, and L. Alberotanza, Springer. DOI: 10.1007/978-90-481-8681-5_16.
which is available at https://pathfinder.nodc.noaa.gov/OFS_21_Cas_09Dec2009.pdf

The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String naming_authority "gov.noaa.pfeg.coastwatch";
    Float64 Northernmost_Northing 89.97918;
    String orbit_node "ascending";
    String processing_level "L3C";
    String product_version "PFV5.2 (source data)";
    String project "Group for High Resolution Sea Surface Temperature (source data)";
    String projection "Equidistant Cylindrical";
    String publisher_email "erd.data@noaa.gov";
    String publisher_name "NOAA NMFS SWFSC ERD";
    String publisher_type "institution";
    String publisher_url "https://coastwatch.pfeg.noaa.gov";
    String references "https://pathfinder.nodc.noaa.gov and Casey, K.S., T.B. Brandon, P. Cornillon, and R. Evans: The Past, Present and Future of the AVHRR Pathfinder SST Program, in Oceanography from Space: Revisited, eds. V. Barale, J.F.R. Gower, and L. Alberotanza, Springer, 2010. DOI: 10.1007/978-90-481-8681-5_16.";
    String sensor "AVHRR_GAC";
    String source "Satellite observations from GAC AVHRR using version 5.2 of the Pathfinder algorithm";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.97916;
    String spatial_resolution "0.0417 degree";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "This dataset contains sea surface temperature (SST) data produced as part of the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder SST Project, created using Version 5.2 of the Pathfinder algorithm and the dataset. Multi-day composites and composites of day and night datasets were generated by the Environmental Research Division (NOAA/NMFS/SWFSC/ERD).";
    String time_coverage_end "2012-12-28T00:00:00Z";
    String time_coverage_resolution "PD1";
    String time_coverage_start "1981-11-04T00:00:00Z";
    String title "SST, Pathfinder Ver 5.2 (L3C), Day, Global, 0.0417°, 1981-2012, Science Quality (8 Day Composite), Lon0360";
    Float64 Westernmost_Easting 0.02082825;
  }
}

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its projection constraints (external link)

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.