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Dataset Title:  MODIS Aqua 1-Day 1 km Composite Northwest Atlantic Subscribe RSS
Institution:  University of Delaware   (Dataset ID: MODIS_AQUA_1_day)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      7348    1 day 0h 9m 36s (uneven)
  < slider >
 latitude (degrees_north) ?      4500    0.00787758 (uneven)
  < slider >
 longitude (degrees_east) ?      5000    0.00980196 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables)
 chl_oc3 (Chlorophyll Concentration, OC3 Algorithm, mg m^-3) ?
 a_412_qaa (Total absorption at 412 nm, QAA algorithm, m^-1) ?
 a_443_qaa (Total absorption at 443 nm, QAA algorithm, m^-1) ?
 a_469_qaa (Total absorption at 469 nm, QAA algorithm, m^-1) ?
 a_488_qaa (Total absorption at 488 nm, QAA algorithm, m^-1) ?
 a_531_qaa (Total absorption at 531 nm, QAA algorithm, m^-1) ?
 a_547_qaa (Total absorption at 547 nm, QAA algorithm, m^-1) ?
 a_555_qaa (Total absorption at 555 nm, QAA algorithm, m^-1) ?
 a_645_qaa (Total absorption at 645 nm, QAA algorithm, m^-1) ?
 a_667_qaa (Total absorption at 667 nm, QAA algorithm, m^-1) ?
 a_678_qaa (Total absorption at 678 nm, QAA algorithm, m^-1) ?
 bb_547_qaa (Total backscattering at 547 nm, QAA algorithm, m^-1) ?
 aph_443_qaa (Absorption due to phytoplankton at 443 nm, QAA algorithm, m^-1) ?
 adg_412_qaa (Absorption due to gelbstoff and detrital material at 412 nm, QAA algorithm, m^-1) ?
 c_547_qaa (Beam attenuation at 547 nm, QAA algorithm, m^-1) ?
 Rrs_412 (Remote sensing reflectance at 412 nm, sr^-1) ?
 Rrs_443 (Remote sensing reflectance at 443 nm, sr^-1) ?
 Rrs_469 (Remote sensing reflectance at 469 nm, sr^-1) ?
 Rrs_488 (Remote sensing reflectance at 488 nm, sr^-1) ?
 Rrs_531 (Remote sensing reflectance at 531 nm, sr^-1) ?
 Rrs_547 (Remote sensing reflectance at 547 nm, sr^-1) ?
 Rrs_555 (Remote sensing reflectance at 555 nm, sr^-1) ?
 Rrs_645 (Remote sensing reflectance at 645 nm, sr^-1) ?
 Rrs_667 (Remote sensing reflectance at 667 nm, sr^-1) ?
 Rrs_678 (Remote sensing reflectance at 678 nm, sr^-1) ?
 Rrs_748 (Remote sensing reflectance at 748 nm, sr^-1) ?
 Rrs_859 (Remote sensing reflectance at 859 nm, sr^-1) ?
 ndvi (Normalized Difference Vegetation Index, dimensionless) ?
 evi (Enhanced Vegetation Index, dimensionless) ?
 pic (Calcite Concentration, Balch and Gordon, mol m^-3) ?
 poc (Particulate Organic Carbon, D. Stramski, 2007 (443/555 version), mg m^-3) ?
 l2_flags (Level-2 Processing Flags, dimensionless) ?
 sst (Sea Surface Temperature, Celsius) ?
 red_ch (Red Channel) ?
 green_ch (Green Channel) ?
 blue_ch (Blue Channel) ?
 M_WK ?
 M_WK_G ?

File type: (more info)

(Documentation / Bypass this form) ?
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    Int32 _ChunkSizes 1048576;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.025740799e+9, 1.664755199e+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 16.55876921586688, 51.999999999992106;
    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 -99.0, -50.00000000000001;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  chl_oc3 {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String ioos_category "Ocean Color";
    String long_name "Chlorophyll Concentration, OC3 Algorithm";
    Float32 missing_value -999.0;
    String standard_name "concentration_of_chlorophyll_in_sea_water";
    String units "mg m^-3";
  }
  a_412_qaa {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "Total absorption at 412 nm, QAA algorithm";
    Float32 missing_value -999.0;
    String units "m^-1";
  }
  a_443_qaa {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "Total absorption at 443 nm, QAA algorithm";
    Float32 missing_value -999.0;
    String units "m^-1";
  }
  a_469_qaa {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "Total absorption at 469 nm, QAA algorithm";
    Float32 missing_value -999.0;
    String units "m^-1";
  }
  a_488_qaa {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "Total absorption at 488 nm, QAA algorithm";
    Float32 missing_value -999.0;
    String units "m^-1";
  }
  a_531_qaa {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "Total absorption at 531 nm, QAA algorithm";
    Float32 missing_value -999.0;
    String units "m^-1";
  }
  a_547_qaa {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "Total absorption at 547 nm, QAA algorithm";
    Float32 missing_value -999.0;
    String units "m^-1";
  }
  a_555_qaa {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "Total absorption at 555 nm, QAA algorithm";
    Float32 missing_value -999.0;
    String units "m^-1";
  }
  a_645_qaa {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "Total absorption at 645 nm, QAA algorithm";
    Float32 missing_value -999.0;
    String units "m^-1";
  }
  a_667_qaa {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "Total absorption at 667 nm, QAA algorithm";
    Float32 missing_value -999.0;
    String units "m^-1";
  }
  a_678_qaa {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "Total absorption at 678 nm, QAA algorithm";
    Float32 missing_value -999.0;
    String units "m^-1";
  }
  bb_547_qaa {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "Total backscattering at 547 nm, QAA algorithm";
    Float32 missing_value -999.0;
    String units "m^-1";
  }
  aph_443_qaa {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "Absorption due to phytoplankton at 443 nm, QAA algorithm";
    Float32 missing_value -999.0;
    String units "m^-1";
  }
  adg_412_qaa {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "Absorption due to gelbstoff and detrital material at 412 nm, QAA algorithm";
    Float32 missing_value -999.0;
    String units "m^-1";
  }
  c_547_qaa {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "Beam attenuation at 547 nm, QAA algorithm";
    Float32 missing_value -999.0;
    String units "m^-1";
  }
  Rrs_412 {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    String ioos_category "Optical Properties";
    String long_name "Remote sensing reflectance at 412 nm";
    Float32 missing_value -999.0;
    String units "sr^-1";
  }
  Rrs_443 {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    String ioos_category "Optical Properties";
    String long_name "Remote sensing reflectance at 443 nm";
    Float32 missing_value -999.0;
    String units "sr^-1";
  }
  Rrs_469 {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    String ioos_category "Optical Properties";
    String long_name "Remote sensing reflectance at 469 nm";
    Float32 missing_value -999.0;
    String units "sr^-1";
  }
  Rrs_488 {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    String ioos_category "Optical Properties";
    String long_name "Remote sensing reflectance at 488 nm";
    Float32 missing_value -999.0;
    String units "sr^-1";
  }
  Rrs_531 {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    String ioos_category "Optical Properties";
    String long_name "Remote sensing reflectance at 531 nm";
    Float32 missing_value -999.0;
    String units "sr^-1";
  }
  Rrs_547 {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    String ioos_category "Optical Properties";
    String long_name "Remote sensing reflectance at 547 nm";
    Float32 missing_value -999.0;
    String units "sr^-1";
  }
  Rrs_555 {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    String ioos_category "Optical Properties";
    String long_name "Remote sensing reflectance at 555 nm";
    Float32 missing_value -999.0;
    String units "sr^-1";
  }
  Rrs_645 {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    String ioos_category "Optical Properties";
    String long_name "Remote sensing reflectance at 645 nm";
    Float32 missing_value -999.0;
    String units "sr^-1";
  }
  Rrs_667 {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum -25000.035;
    Float64 colorBarMinimum -25000.055;
    String ioos_category "Optical Properties";
    String long_name "Remote sensing reflectance at 667 nm";
    Float32 missing_value -999.0;
    String units "sr^-1";
  }
  Rrs_678 {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    String ioos_category "Optical Properties";
    String long_name "Remote sensing reflectance at 678 nm";
    Float32 missing_value -999.0;
    String units "sr^-1";
  }
  Rrs_748 {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    String ioos_category "Optical Properties";
    String long_name "Remote sensing reflectance at 748 nm";
    Float32 missing_value -999.0;
    String units "sr^-1";
  }
  Rrs_859 {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    String ioos_category "Optical Properties";
    String long_name "Remote sensing reflectance at 859 nm";
    Float32 missing_value -999.0;
    String units "sr^-1";
  }
  ndvi {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Biology";
    String long_name "Normalized Difference Vegetation Index";
    Float32 missing_value -999.0;
    String standard_name "normalized_difference_vegetation_index";
    String units "dimensionless";
  }
  evi {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    String ioos_category "Biology";
    String long_name "Enhanced Vegetation Index";
    Float32 missing_value -999.0;
    String units "dimensionless";
  }
  pic {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    String ioos_category "Ocean Color";
    String long_name "Calcite Concentration, Balch and Gordon";
    Float32 missing_value -999.0;
    String units "mol m^-3";
  }
  poc {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    String ioos_category "Ocean Color";
    String long_name "Particulate Organic Carbon, D. Stramski, 2007 (443/555 version)";
    Float32 missing_value -999.0;
    String units "mg m^-3";
  }
  l2_flags {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "Level-2 Processing Flags";
    Float32 missing_value -999.0;
    String units "dimensionless";
  }
  sst {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Sea Surface Temperature";
    Float32 missing_value -999.0;
    String standard_name "sea_surface_temperature";
    String units "Celsius";
  }
  red_ch {
    Int32 _ChunkSizes 1, 900, 1000;
    Int32 _FillValue -999;
    String ioos_category "Unknown";
    String long_name "Red Channel";
    Int32 missing_value -999;
  }
  green_ch {
    Int32 _ChunkSizes 1, 900, 1000;
    Int32 _FillValue -999;
    String ioos_category "Unknown";
    String long_name "Green Channel";
    Int32 missing_value -999;
  }
  blue_ch {
    Int32 _ChunkSizes 1, 900, 1000;
    Int32 _FillValue -999;
    String ioos_category "Unknown";
    String long_name "Blue Channel";
    Int32 missing_value -999;
  }
  M_WK {
    Int32 _ChunkSizes 1, 900, 1000;
    Int32 _FillValue -999;
    String ioos_category "Unknown";
    String long_name "Water Mass Classifications using Wards and Kmeans clustering after Oliver and Irwin 2008";
    Int32 missing_value -999;
  }
  M_WK_G {
    Int32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    String ioos_category "Unknown";
    String long_name "Gradient Strengths Across Water Mass Classifications using Wards and Kmeans clustering after Oliver and Irwin 2008";
    Float32 missing_value -999.0;
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    Float64 createAgency 0.0;
    String creator_email "moliver@udel.edu";
    String creator_name "Matthew Oliver";
    String creator_url "https://www.udel.edu/";
    Float64 Easternmost_Easting -50.00000000000001;
    Float64 geospatial_lat_max 51.999999999992106;
    Float64 geospatial_lat_min 16.55876921586688;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -50.00000000000001;
    Float64 geospatial_lon_min -99.0;
    Float64 geospatial_lon_resolution 0.009801960392078415;
    String geospatial_lon_units "degrees_east";
    String groundstation "University of Delaware, Newark, Center for Remote Sensing";
    String history 
"satellite observation NASA MODIS-Aqua instrument
2024-02-23T20:45:58Z (local files)
2024-02-23T20:45:58Z http://erddap.maracoos.org/erddap/griddap/MODIS_AQUA_1_day.das";
    String infoUrl "https://aqua.nasa.gov/modis";
    Float64 inputCalibrationFile 0.0;
    Float64 inputMET1 0.0;
    Float64 inputOZONE1 0.0;
    String institution "University of Delaware";
    String keywords "443/555, a_412_qaa, a_443_qaa, a_469_qaa, a_488_qaa, a_531_qaa, a_547_qaa, a_555_qaa, a_645_qaa, a_667_qaa, a_678_qaa, absorption, across, adg_412_qaa, after, algorithm, aph_443_qaa, aqua, attenuation, backscattering, balch, bb_547_qaa, beam, biology, biosphere, blue, blue_ch, c_547_qaa, calcite, calculation, carbon, channel, chemistry, chl_oc3, chlorophyll, classifications, clustering, color, concentration, concentration_of_chlorophyll_in_sea_water, data, delaware, detrital, difference, due, Earth Science > Biosphere > Vegetation > Vegetation Index, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, enhanced, evi, flags, gelbstoff, gordon, gradient, green, green_ch, imaging, index, irwin, kmeans, l2_flags, level, level-2, M_WK, M_WK_G, mass, material, moderate, modis, ndvi, normalized, normalized_difference_vegetation_index, oc3, ocean, ocean color, oceans, oliver, optical, optical properties, organic, particulate, phytoplankton, pic, poc, processing, properties, qaa, quality, red, red_ch, reflectance, regrid, remote, resolution, Rrs_412, Rrs_443, Rrs_469, Rrs_488, Rrs_531, Rrs_547, Rrs_555, Rrs_645, Rrs_667, Rrs_678, Rrs_748, Rrs_859, sea, sea_surface_temperature, seadas, seawater, sensing, spectroradiometer, sst, stramski, strengths, surface, temperature, time, total, university, using, vegetation, version, wards, 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.";
    Float64 Northernmost_Northing 51.999999999992106;
    String product_list "chl_oc3,a_412_qaa,a_443_qaa,a_469_qaa,a_488_qaa,a_531_qaa,a_547_qaa,a_555_qaa,a_645_qaa,a_667_qaa,a_678_qaa,bb_547_qaa,aph_443_qaa,adg_412_qaa,c_547_qaa,Rrs_412,Rrs_443,Rrs_469,Rrs_488,Rrs_531,Rrs_547,Rrs_555,Rrs_645,Rrs_667,Rrs_678,Rrs_748,Rrs_859,ndvi,evi,pic,poc,l2_flags,sst,red_ch,green_ch,blue_ch,M_WK,M_WK_G";
    Float64 software 0.0;
    String source "satellite observation NASA MODIS-Aqua instrument";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 16.55876921586688;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua 1-Day 1 km ocean color and sst calculation by SeaDas; Regridded to Mercator lon/lat projection. Processed at the University of Delaware. Computed for the Mid-Atlantic Regional Association Coastal Ocean Observing System.";
    String time_coverage_end "2022-10-02T23:59:59Z";
    String time_coverage_start "2002-07-03T23:59:59Z";
    String title "MODIS Aqua 1-Day 1 km Composite Northwest Atlantic";
    String url "http://orb.ceoe.udel.edu/";
    Float64 Westernmost_Easting -99.0;
  }
}

 

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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