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Dataset Title:  MODIS AQUA L3 CHLA MONTHLY 4KM R Subscribe RSS
Institution:  NASA JPL   (Dataset ID: nasa_jpl_0d42_152d_f9ea)
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.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
[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 1.0254816e+9, 1.4304384e+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 -89.97916810599999, 89.979166667;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -179.979166667, 179.979169546;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  chlorophyll {
    Float32 _FillValue -32767.0;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    Float32 Fill -32767.0;
    String ioos_category "Ocean Color";
    String long_name "Chlorophyll a concentration";
    String standard_name "concentration_of_chlorophyll_in_sea_water";
    String units "mg m^-3";
    String _History "Direct read of HDF4 file through CDM library";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "NASA JPL";
    String creator_url "";
    Float64 Easternmost_Easting 179.979169546;
    Float64 geospatial_lat_max 89.979166667;
    Float64 geospatial_lat_min -89.97916810599999;
    Float64 geospatial_lat_resolution 0.041666667;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.979169546;
    Float64 geospatial_lon_min -179.979166667;
    Float64 geospatial_lon_resolution 0.041666667;
    String geospatial_lon_units "degrees_east";
    String HDF4_Version "4.2.6 (HDF Version 4.2 Release 6, June 14, 2011)";
    String history 
    String infoUrl "";
    String Input_Files "A20100602010090.L3b_MO_CHL.main";
    String Input_Parameters "IFILE = /data3/sdpsoper/vdc/vpu6/workbuf/A20100602010090.L3b_MO_CHL.main|OFILE = A20100602010090.L3m_MO_CHL_chlor_a_4km|PFILE = |PROD = chlor_a|PALFILE = DEFAULT|PROCESSING VERSION = 2012.0|MEAS = 1|STYPE = 0|DATAMIN = 0.000000|DATAMAX = 0.000000|LONWEST = -180.000000|LONEAST = 180.000000|LATSOUTH = -90.000000|LATNORTH = 90.000000|RESOLUTION = 4km|PROJECTION = RECT|GAP_FILL = 0|SEAM_LON = -180.000000|PRECISION=F";
    String institution "NASA JPL";
    String keywords "4km, aqua, chemistry, chla, chlorophyll, chlorophyll-a, color, concentration, concentration_of_chlorophyll_in_sea_water, data, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, image, imaging, jet, jpl, L3, l3m_data, laboratory, mapped, moderate, modis, month, monthly, nasa, ocean, ocean color, oceans, propulsion, resolution, sea, seawater, smi, spectroradiometer, standard, time, water";
    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 Map_Projection "Equidistant Cylindrical";
    String Measure "Mean";
    Float64 Northernmost_Northing 89.979166667;
    String Processing_Control "smigen par=A20100602010090.L3m_MO_CHL_chlor_a_4km.param";
    String Processing_Time "2012131024645000";
    String Processing_Version "2012.0";
    String Product_Name "A20100602010090.L3m_MO_CHL_chlor_a_4km";
    String Product_Type "other";
    String Sensor_Name "HMODISA";
    String Software_Name "smigen";
    String Software_Version "4.27";
    String sourceUrl "";
    Float64 Southernmost_Northing -89.97916810599999;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "HMODISA Level-3 Standard Mapped Image (Moderate Resolution Imaging Spectroradiometer (MODIS) AQUA L3 Chlorophyll-a (CHLA) MONTHLY 4KM R)";
    String time_coverage_end "2015-05-01T00:00:00Z";
    String time_coverage_start "2002-07-01T00:00:00Z";
    String title "MODIS AQUA L3 CHLA MONTHLY 4KM R";
    Float64 Westernmost_Easting -179.979166667;


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,[(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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