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ERDDAP > griddap > Make A Graph ?

Dataset Title:  SST, AQUA_MODIS, L3m.DAY.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0,
Global, 0.04166°, Science Quality, 2003-2022 (Daily), Lon0360
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Institution:  NOAA NMFS SWFSC ERD   (Dataset ID: erdMH1sstd1dayR20190SQ_Lon0360)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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:   
 
(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:
(Documentation / Bypass this form ? )
    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 1.0414224e+9, 1.656504e+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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range -89.97918, 89.97916;
    String axis "Y";
    String coordsys "geographic";
    Int32 fraction_digits 5;
    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 0.02083333, 359.97917684;
    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";
  }
  sstMasked {
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    String ioos_category "Temperature";
    String long_name "Masked SST";
    Float32 missing_value -999.0;
    String standard_name "sea_surface_temperature";
    String units "degree_C";
  }
  NC_GLOBAL {
    String acknowledgement "NASA GSFC";
    String cdm_data_type "Grid";
    String contact "https://www.pfeg.noaa.gov/guest_book.html";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creation_date "2022-07-21 10:30:01.626525";
    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";
    Float64 Easternmost_Easting 359.97917684;
    Float64 geospatial_lat_max 89.97916;
    Float64 geospatial_lat_min -89.97918;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.97917684;
    Float64 geospatial_lon_min 0.02083333;
    String geospatial_lon_units "degrees_east";
    String history 
"Every day, erd.data@noaa.gov generates these by masking out qual_sst < 0 values from erdMH1sstdR20190NotMasked1day data files.
2024-12-12T10:18:17Z (local files)
2024-12-12T10:18:17Z https://coastwatch.pfeg.noaa.gov/griddap/erdMH1sstd1dayR20190SQ_Lon0360.das";
    String infoUrl "https://modis.gsfc.nasa.gov/data/";
    String institution "NOAA NMFS SWFSC ERD";
    String keywords "4km, aqua, center, daily, data, day, daytime, degrees, earth, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, erd, fisheries, global, image, imaging, L3, level, level-3, mapped, masked, moderate, modis, modisa, national, nmfs, noaa, npp, ocean, oceans, orbiting, partnership, polar, polar-orbiting, quality, resolution, science, sea, sea_surface_temperature, smi, southwest, spectroradiometer, sst, sstMasked, standard, surface, swfsc, temperature, time";
    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 mask "qual_sst < 0";
    Float64 Northernmost_Northing 89.97916;
    String rights "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, CoastWatch, 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 Sensor_Name "HMODISA";
    String source_data "AQUA_MODIS.20220629.L3m.DAY.SST.sst.4km.nc";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.97918;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "This is the delayed, science-quality version of Sea Surface Temperature (SST), masked, from Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA), Level-3 Standard Mapped Image (SMI), from NASA GSFC OBPG, R2019.0, Global, 0.04166°, Daily";
    String time_coverage_end "2022-06-29T12:00:00Z";
    String time_coverage_start "2003-01-01T12:00:00Z";
    String title "SST, AQUA_MODIS, L3m.DAY.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Science Quality, 2003-2022 (Daily), Lon0360";
    Float64 Westernmost_Easting 0.02083333;
  }
}

 

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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