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Dataset Title:  Multi-scale Ultra-high Resolution (MUR) SST Analysis Anomaly fv04.1, Global, 0.
01°, 2002-present, Daily
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Institution:  NOAA NMFS SWFSC ERD and NOAA NESDIS CoastWatch WCRN   (Dataset ID: jplMURSST41anom1day)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     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:   Ascending: 
 
(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 1.022922e+9, 1.5319908e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "reference time of sst field";
    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 -89.99, 89.99;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    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 -179.99, 180.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  }
  sstAnom {
    Float32 _FillValue -32768.0;
    Float64 colorBarMaximum 3.0;
    Float64 colorBarMinimum -3.0;
    String ioos_category "Temperature";
    String long_name "sea surface temperature anomaly";
    String standard_name "sea_surface_foundation_temperature_anomaly";
    String units "degree_C";
  }
  mask {
    Byte _FillValue -128;
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 0.0;
    String comment "mask can be used to further filter the data.";
    Byte flag_masks 1, 2, 4, 8, 16;
    String flag_meanings "1=open-sea, 2=land, 5=open-lake, 9=open-sea with ice in the grid, 13=open-lake with ice in the grid";
    Byte flag_values 1, 2, 5, 9, 13;
    String ioos_category "Identifier";
    String long_name "sea/land field composite mask";
    String source "GMT \"grdlandmask\", ice flag from sea_ice_fraction data";
    String standard_name "land_binary_mask";
    Byte valid_max 31;
    Byte valid_min 1;
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creation_date "2018-07-21 05:00:02.104034";
    String creator_email "erd.data@noaa.gov";
    String creator_name "NOAA NMFS SWFSC ERD and NOAA NESDIS CoastWatch WCRN";
    String creator_type "institution";
    String creator_url "https://www.pfeg.noaa.gov";
    Float64 Easternmost_Easting 180.0;
    Float64 geospatial_lat_max 89.99;
    Float64 geospatial_lat_min -89.99;
    Float64 geospatial_lat_resolution 0.01;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 180.0;
    Float64 geospatial_lon_min -179.99;
    Float64 geospatial_lon_resolution 0.01;
    String geospatial_lon_units "degrees_east";
    String history 
"This is based on the JPL daily MUR SST v4.1 Climatology (2003-2014) downloaded from ftp://mariana.jpl.nasa.gov/mur_sst/tmchin/seasonal/ .
The anomaly is created from the climatology and SST data which is downloaded daily from ftp://podaac-ftp.jpl.nasa.gov/allData/ghrsst/data/GDS2/L4/GLOB/JPL/MUR/v4.1/ to NOAA NMFS SWFSC ERD by erd.data@noaa.gov . For leap years, the day 365 climatology was used for day 366.
The data for the most recent 4 days is usually revised everyday. The data for other days is sometimes revised.
2018-07-22T20:37:02Z (local files)
2018-07-22T20:37:02Z http://upwell.pfeg.noaa.gov/griddap/jplMURSST41anom1day.das";
    String infoUrl "https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1";
    String institution "NOAA NMFS SWFSC ERD and NOAA NESDIS CoastWatch WCRN";
    String keywords "anomaly, binary, coast, coastwatch, composite, daily, data, day, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, erd, field, foundation, ghrsst, global, high, identifier, jet, jpl, laboratory, land, land_binary_mask, mask, multi, multi-scale, mur, noaa, node, ocean, oceans, propulsion, regional, resolution, scale, sea, sea/land, sea_surface_foundation_temperature_anomaly, sst, sstAnom, surface, temperature, time, ultra, ultra-high, 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 metadata_link "https://podaac.jpl.nasa.gov/ws/metadata/dataset/?format=iso&shortName=MUR-JPL-L4-GLOB-v04.1";
    String naming_authority "gov.noaa.pfeg.coastwatch";
    Float64 Northernmost_Northing 89.99;
    String platform "Aqua, DMSP, NOAA-POES, Suomi-NPP, Terra";
    String publisher_email "erd.data@noaa.gov";
    String publisher_name "NOAA NMFS SWFSC ERD and NOAA NESDIS CoastWatch WCRN";
    String publisher_url "https://www.pfeg.noaa.gov";
    String references "https://podaac.jpl.nasa.gov/Multi-scale_Ultra-high_Resolution_MUR-SST";
    String sensor "AMSR-E, AVHRR, MODIS, SSM/I, VIIRS, in-situ";
    String source "20180719090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc, mur_200.nc";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.99;
    String spatial_resolution "0.01 degrees";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
"A daily Sea Surface Temperature (SST) Anomaly product created by ERD based on JPL MUR's climatology (2003-2014) of the Jet Propulsion Laboratory's (JPL) Multi-scale Ultra-high Resolution (MUR), merged, multi-sensor L4 v4.1 Foundation SST analysis product (part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project).
        
The data for the most recent 4 days is usually revised everyday.  The data for other days is sometimes revised.";
    String testOutOfDate "now-4days";
    String time_coverage_end "2018-07-19T09:00:00Z";
    String time_coverage_start "2002-06-01T09:00:00Z";
    String title "Multi-scale Ultra-high Resolution (MUR) SST Analysis Anomaly fv04.1, Global, 0.01°, 2002-present, Daily";
    Float64 Westernmost_Easting -179.99;
  }
}

 

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://upwell.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://upwell.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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