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Dataset Title:  ZZZ - DEPRECATED - OceanWatch - Sea-Surface Temperature, AVHRR Pathfinder v4.
1 + GAC - Weekly, 1985-2016
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Institution:  NOAA/NESDIS/OceanWatch - Central Pacific   (Dataset ID: OceanWatch_pfgac_sst_weekly)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      1613    7 days (even)
  < slider >
 latitude (degrees_north) ?      1400    0.1 (even)
  < slider >
 longitude (degrees_east) ?      3600    0.1 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables)
 sst (Sea-Surface Temperature, degree_C) ?

File type: (more info)

(Documentation / Bypass this form) ?
(Please be patient. It may take a while to get the data.)


The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 4.856544e+8, 1.460592e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "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";
    Float64 actual_range -70.0, 69.9;
    String axis "Y";
    String coordsys "geographic";
    String ioos_category "Location";
    String long_name "Latitude";
    String point_spacing "even";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 0.0, 359.9;
    String axis "X";
    String coordsys "geographic";
    String ioos_category "Location";
    String long_name "Longitude";
    String point_spacing "even";
    String standard_name "longitude";
    String units "degrees_east";
  sst {
    Float32 _FillValue -3.4e+38;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Sea-Surface Temperature";
    Float32 missing_value -3.4e+38;
    String short_units "deg. C";
    String standard_name "sea_surface_temperature";
    String units "degree_C";
    String acknowledgements "NOAA National Environmental Satellite, Data and Information Service";
    String cdm_data_type "Grid";
    String comment "AVHRR-GAC SST data product";
    String composite "true";
    String contributor_name "NOAA OceanWatch - Central Pacific";
    String contributor_url "";
    String Conventions "CF-1.6, CW HDF, COARDS, ACDD-1.3";
    String creator_email "";
    String creator_name "NOAA/NESDIS/OceanWatch - Central Pacific";
    String creator_url "";
    String date_created "2016-04-14";
    String date_issued "2016-04-14";
    Float64 Easternmost_Easting 359.9;
    Float64 geospatial_lat_max 69.9;
    Float64 geospatial_lat_min -70.0;
    Float64 geospatial_lat_resolution 0.1;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.9;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 0.09999999999999999;
    String geospatial_lon_units "degrees_east";
    String grid_type "REGULAR";
    String history 
"File generated at NOAA OceanWatch - Central Pacific
    String id "AG2016098_2016104_sst";
    String infoUrl "";
    String institution "NOAA/NESDIS/OceanWatch - Central Pacific";
    String keywords "advanced, avhrr, central, data, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, environmental, high, information, national, nesdis, noaa, ocean, oceans, oceanwatch, pacific, pathfinder, radiometer, resolution, satellite, sea, sea-surface, sea_surface_temperature, service, sst, surface, temperature, time, v4.1, very, vhrr, weekly";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither OceanWatch, NOAA, nor the US Government, nor any of their employees or contractors, make 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.pifsc.oceanwatch";
    Float64 Northernmost_Northing 69.9;
    String origin "NOAA OceanWatch - Central Pacific";
    String processing_level "3";
    String product "Sea-Surface Temperature";
    String project "NOAA CoastWatch/OceanWatch - Central Pacific";
    String projection "Geographic";
    String projection_type "mapped";
    String references "Refer to NOAA NESDIS";
    String satellite "NOAA AVHRR";
    String sensor "AVHRR-GAC";
    String source_data "NOAA National Environmental Satellite, Data and Information Service";
    String sourceUrl "";
    Float64 Southernmost_Northing -70.0;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "AVHRR Pathfinder Sea-Surface Temperature v4.1 (1985 - 2002) combined with AVHRR Global Area Coverage (GAC, 2003 - Apr. 2016). Sea Surface Temperature. Weekly. spatial resolution = 0.1&deg";
    Float64 temporal_extent 86400.0, 86400.0, 86400.0, 86400.0, 86400.0, 86400.0, 86398.0;
    String time_coverage_end "2016-04-14T00:00:00Z";
    String time_coverage_start "1985-05-23T00:00:00Z";
    String title "ZZZ - DEPRECATED - OceanWatch - Sea-Surface Temperature, AVHRR Pathfinder v4.1 + GAC - Weekly, 1985-2016";
    Float64 Westernmost_Easting 0.0;


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.

griddap request URLs must be in the form{?query}
For example,[(2015-06-09T09:00:00Z)][(-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.

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