Make A Graph

Dataset Title:	SST, GHRSST Blended, MW-IR-OI, Science Quality, Global (1 Day Composite)
Institution:	NOAA CoastWatch, West Coast Node (Dataset ID: erdG1ssta1day)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

Graph Settings
Color Bar: Continuity: Scale:
Min: Max: N Sections:
Draw the land mask:

(Please be patient. It may take a while to get the data.)

Optional:
Then set the File Type: and

or view the URL:
(Documentation / Bypass this form

) (File Type information)

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Click on the map to specify a new center point.

Zoom:

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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 Slide Sorter to build a personal web page that displays graphs of the latest data, each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.1360736e+9, 1.306152e+9;
    String axis "T";
    String calendar "Gregorian";
    String ioos_category "Time";
    String long_name "reference time of sst file";
    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 -89.95605, 89.95605;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -179.9561, 179.9561;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  analyzed_sst {
    Float32 _FillValue -327.68;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Analyzed Sea Surface Temperature";
    String standard_name "sea_surface_temperature";
    String type "foundation";
    String units "degree_C";
    Float32 valid_max 45.0;
    Float32 valid_min -3.0;
  }
  analysis_error {
    Float32 _FillValue -327.68;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Estimated Error Standard Deviation of analyzed_sst";
    String units "degree_C";
    Float32 valid_max 327.67;
    Float32 valid_min 0.0;
  }
  mask {
    Float64 colorBarMaximum 16.0;
    Float64 colorBarMinimum 0.0;
    String flag_meanings "sea land lake ice ir mw bad";
    String flag_values "0b,1b,2b,3b,4b,5b,6";
    String ioos_category "Temperature";
    String long_name "Sea/Land/Lake/Ice Field Composite Mask";
    Byte valid_max 127;
    Int16 valid_min -127;
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String contact "support@remss.com";
    String Conventions "COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    String DSD_entry_id "REMSS-L4HRfnd-GLOB-mw_ir_OI";
    Float64 Easternmost_Easting 179.9561;
    Int16 file_quality_index 1;
    String GDS_version_id "GDS-v1.0-rev1.6";
    Float64 geospatial_lat_max 89.95605;
    Float64 geospatial_lat_min -89.95605;
    Float64 geospatial_lat_resolution 0.08789062042012702;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.9561;
    Float64 geospatial_lon_min -179.9561;
    Float64 geospatial_lon_resolution 0.08789064713064712;
    String geospatial_lon_units "degrees_east";
    String history 
"Remote Sensing Systems, Inc.
NOAA CoastWatch (West Coast Node)
2013-05-25T07:46:25Z http://oceanwatch.pfeg.noaa.gov/thredds/dodsC/satellite/G1/ssta/1day
2013-05-25T07:46:25Z http://coastwatch.pfeg.noaa.gov/griddap/erdG1ssta1day.das";
    String infoUrl "http://www.remss.com/sst/microwave_oi_sst_browse.html";
    String institution "NOAA CoastWatch, West Coast Node";
    String keywords 
"1-day,
Oceans > Ocean Temperature > Sea Surface Temperature,
analysed, composite, day, deviation, error, estimated, field, foundation,
global, ice, identifier, lake, land, mask, ocean, oceans, remote, sea,
sea/land/lake/ice, sea_surface_temperature, sensing, sst, standard,
statistics, surface, systems, temperature";
    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 Metadata_Conventions "COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    Float64 Northernmost_Northing 89.95605;
    String product_version "v03";
    String references "http://www.remss.com/sst/microwave_oi_sst_data_description.html#references";
    String source_data "TMI-REMSS,AMSRE-REMSS,AQUA-MODIS-OPBG,TERRA-MODIS-OPBG";
    String sourceUrl "http://oceanwatch.pfeg.noaa.gov/thredds/dodsC/satellite/G1/ssta/1day";
    Float64 Southernmost_Northing -89.95605;
    String spatial_resolution "9 km";
    String standard_name_vocabulary "CF-12";
    String summary 
"Analyzed Foundation, Microwave + InfraRed Optimally Interpolated, Science
Quality, Global, Sea Surface Temperature data. The through-cloud capabilities
of microwave radiometers provide a valuable picture of global sea surface
temperature (SST). To utilize this, scientists at Remote Sensing Systems have
calculated a daily, Optimally Interpolated (OI) SST product at quarter degree
(~25 kilometer) resolution. This product is ideal for research activities in
which a complete, daily SST map is more desirable than one with missing data
due to orbital gaps or environmental conditions precluding SST retrieval.
Improved global daily NRT SSTs should be useful for a wide range of
scientific and operational activities. The addition of SST derived from
Infrared (IR) measurements allows higher spatial resolution, and SST near
land.  However, IR input is less accurate than MW due to cloud contamination.
Blending MW and IR enables greater coverage and higher accuracy than IR only
SSTs, but current OI does not completely eliminate cloud contamination
inherent to IR SSTs.";
    String time_coverage_end "2011-05-23T12:00:00Z";
    String time_coverage_start "2006-01-01T00:00:00Z";
    String title "SST, GHRSST Blended, MW-IR-OI, Science Quality, Global (1 Day Composite)";
    Float64 Westernmost_Easting -179.9561;
  }
}

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 Data Access Protocol (DAP) and its projection constraints.

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
http://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
http://coastwatch.pfeg.noaa.gov/erddap/griddap/erdBAssta5day.htmlTable?sst[(2007-10-21T00:00:00)][0][(-75):100:(75)][(180):100:(360)]
Thus, the query is often a variable name (e.g., sst),
followed by a set of [] for each of the variable's dimensions
(for example, [time][altitude][latitude][longitude]),
with your desired (start):stride:(stop) values within each [].

For details, see the griddap Documentation.

ERDDAP, Version 1.42
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