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Dataset Title:  SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2004-
present (3 Day Composite), Lon+/-180
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Institution:  NOAA NMFS SWFSC ERD   (Dataset ID: erdATssta3day_LonPM180)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    |< - >|
< <
altitude (m) ?     specify just 1 value →
   
< <
latitude (degrees_north) ?
    +
    -
< slider >
longitude (degrees_east) ?
    +
    -
< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
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    Click on the map to specify a new center point. ?
Zoom:
[The graph you specified. Please be patient.]

 

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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.0771056e+9, 1.674648e+9;
    String axis "T";
    Int32 fraction_digits 0;
    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";
  }
  altitude {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Float64 actual_range 0.0, 0.0;
    String axis "Z";
    Int32 fraction_digits 0;
    String ioos_category "Location";
    String long_name "Altitude";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 22.0, 51.0;
    String axis "Y";
    String coordsys "geographic";
    Int32 fraction_digits 4;
    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 -145.0, -105.0;
    String axis "X";
    String coordsys "geographic";
    Int32 fraction_digits 4;
    String ioos_category "Location";
    String long_name "Longitude";
    String point_spacing "even";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sst {
    Float32 _FillValue -9999999.0;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    Int32 fraction_digits 1;
    String ioos_category "Temperature";
    String long_name "Sea Surface Temperature";
    Float32 missing_value -9999999.0;
    String standard_name "sea_surface_temperature";
    String units "degree_C";
  }
  NC_GLOBAL {
    String acknowledgement "NOAA NESDIS COASTWATCH, NOAA SWFSC ERD";
    String cdm_data_type "Grid";
    String composite "true";
    String contributor_name "NOAA NWS Monterey and NOAA CoastWatch";
    String contributor_role "Source of level 2 data.";
    String Conventions "COARDS, CF-1.6, 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://www.pfeg.noaa.gov";
    String date_created "2023-01-27";
    String date_issued "2023-01-27";
    Float64 Easternmost_Easting -105.0;
    Float64 geospatial_lat_max 51.0;
    Float64 geospatial_lat_min 22.0;
    Float64 geospatial_lat_resolution 0.0125;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -105.0;
    Float64 geospatial_lon_min -145.0;
    Float64 geospatial_lon_resolution 0.0125;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 0.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String history 
"NOAA NWS Monterey and NOAA CoastWatch
2023-01-27T07:00:20Z NOAA CoastWatch (West Coast Node) and NOAA SFSC ERD
2024-11-12T14:11:32Z (local files)
2024-11-12T14:11:32Z https://coastwatch.pfeg.noaa.gov/griddap/erdATssta3day_LonPM180.das";
    String infoUrl "https://coastwatch.pfeg.noaa.gov/infog/AT_ssta_las.html";
    String institution "NOAA NMFS SWFSC ERD";
    String keywords "advanced, altitude, area, ATssta, avhrr, coast, coastwatch, coverage, data, day, degrees, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, environmental, envisat, high, lac, local, night, noaa, node, ocean, oceans, orbiting, poes, polar, radiometer, resolution, satellite, sea, sea_surface_temperature, sst, surface, temperature, time, US, very, vhrr, wcn, west";
    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 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 51.0;
    String origin "NOAA NWS Monterey and NOAA CoastWatch";
    String processing_level "3";
    String project "CoastWatch (https://coastwatch.noaa.gov/)";
    String projection "geographic";
    String projection_type "mapped";
    String publisher_email "erd.data@noaa.gov";
    String publisher_name "NOAA NMFS SWFSC ERD";
    String publisher_type "institution";
    String publisher_url "https://www.pfeg.noaa.gov";
    String references "NOAA POES satellites information: https://www.ospo.noaa.gov/Operations/POES/index.html . Processing reference: Walton C. C., W. G. Pichel, J. F. Sapper, D. A. May. The development and operational application of nonlinear algorithms for the measurement of sea surface temperatures with the NOAA polar-orbiting environmental satellites. J.G.R., 103: (C12) 27999-28012, 1998. Cloudmask reference: Stowe, L. L., P. A. Davis, and E. P. McClain.  Scientific basis and initial evaluation of the CLAVR-1 global clear/cloud classification algorithm for the advanced very high resolution radiometer. J. Atmos. Oceanic Technol., 16, 656-681. 1999. Calibration and Validation: Li, X., W. Pichel, E. Maturi, P. Clemente-Colon, and J. Sapper. Deriving the operational nonlinear multi-channel sea surface temperature algorithm coefficients for NOAA-15 AVHRR/3. International Journal of Remote Sensing, Volume 22, No. 4, 699 - 704, March 2001a. Calibration and Validation: Li, X, W. Pichel, P. Clemente-Colon, V. Krasnopolsky, and J. Sapper. Validation of coastal sea and lake surface temperature measurements derived from NOAA/AVHRR Data. International Journal of Remote Sensing, Vol. 22, No. 7, 1285-1303, 2001b.";
    String satellite "POES";
    String sensor "AVHRR HRPT";
    String source "satellite observation: POES, AVHRR HRPT";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 22.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "NOAA CoastWatch provides sea surface temperature (SST) products derived from NOAA's Polar Operational Environmental Satellites (POES).  This data is provided at high resolution (0.0125 degrees) for the North Pacific Ocean.  Measurements are gathered by the Advanced Very High Resolution Radiometer (AVHRR) instrument, a multiband radiance sensor carried aboard the NOAA POES satellites.";
    String testOutOfDate "now-4days";
    String time_coverage_end "2023-01-25T12:00:00Z";
    String time_coverage_start "2004-02-18T12:00:00Z";
    String title "SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2004-present (3 Day Composite), Lon+/-180";
    Float64 Westernmost_Easting -145.0;
  }
}

 

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
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.


 
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