ERDDAP > griddap > Data Access Form

Dataset Title:	MODIS Aqua 1-Month 1 km Climatology Northwest Atlantic
Institution:	University of Delaware   (Dataset ID: aqua_monthly_climatology)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Make a graph

 

Dimensions	Start	Stride	Stop	Size	Spacing
time2 (Time, UTC)				12	30 days 8h 43m 38s (uneven)
latitude (degrees_north)				4500	0.00787758 (uneven)
longitude (degrees_east)				5000	0.00980196 (even)

Grid Variables (which always also download all of the dimension variables)

sst (Sea Surface Temperature, Celsius)

chl_oc3 (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)

poc (Particulate Organic Carbon, D. Stramski, 2007 (443/555 version), mg m^-3)

pic (Calcite Concentration, Balch and Gordon, mol m^-3)

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)

c_547_qaa (Beam attenuation at 547 nm, QAA algorithm, m^-1)

adg_412_qaa (Absorption due to gelbstoff and detrital material at 412 nm, QAA algorithm, m^-1)

aph_443_qaa (Absorption due to phytoplankton at 443 nm, QAA algorithm, m^-1)

bb_547_qaa (Total backscattering at 547 nm, QAA algorithm, m^-1)

a_678_qaa (Total absorption at 678 nm, QAA algorithm, m^-1)

a_667_qaa (Total absorption at 667 nm, QAA algorithm, m^-1)

a_645_qaa (Total absorption at 645 nm, QAA algorithm, m^-1)

a_555_qaa (Total absorption at 555 nm, QAA algorithm, m^-1)

a_547_qaa (Total absorption at 547 nm, QAA algorithm, m^-1)

a_531_qaa (Total absorption at 531 nm, QAA algorithm, m^-1)

a_488_qaa (Total absorption at 488 nm, QAA algorithm, m^-1)

a_469_qaa (Total absorption at 469 nm, QAA algorithm, m^-1)

a_443_qaa (Total absorption at 443 nm, QAA algorithm, m^-1)

a_412_qaa (Total absorption at 412 nm, QAA algorithm, m^-1)

File type: (more information) .mat - Download a MATLAB binary file. .timeGaps - View a UTF-8 list of gaps in the time values which are larger than the median gap. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .wav - Download a .wav audio file. All columns must be numeric and of the same type. .kml - View a Google Earth .kml file (for latitude, longitude data only). .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend). .parquetWMeta - Download as a parquet file with detailed metadata. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .png - View a standard, medium-sized .png image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .esriAscii - Download an ISO-8859-1 ESRI ASCII file (latitude longitude data only; longitude must be all below or all above 180). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .ncml - View the dataset's structure and metadata as a UTF-8 NCML .xml file. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .croissant - Download the dataset croissant schema. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .largePng - View a large .png image file with a graph or map. .nc - Download a NetCDF-3 binary file with COARDS/CF/ACDD metadata. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .smallPdf - View a small .pdf image file with a graph or map. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .odvTxt - Download time,latitude,longitude,otherVariables as an ODV Generic Spreadsheet File (.txt). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each axis variable and each data variable becomes a wave. .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .geotif - View a grayscale GeoTIFF .tif file (for latitude longitude data; longitude must be all below or all above 180). .smallPng - View a small .png image file with a graph or map. .parquet - Download as a parquet file. Metadata contains column names ("column_names") and units ("column_units").

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time2 {
    UInt32 _ChunkSizes 1;
    Float64 actual_range 1.04405754e+9, 1.07291514e+9;
    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 {
    UInt32 _ChunkSizes 4500;
    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 {
    UInt32 _ChunkSizes 5000;
    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";
  }
  sst {
    UInt32 _ChunkSizes 1, 520, 578;
    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";
  }
  chl_oc3 {
    UInt32 _ChunkSizes 1, 520, 578;
    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";
  }
  poc {
    UInt32 _ChunkSizes 1, 520, 578;
    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";
  }
  pic {
    UInt32 _ChunkSizes 1, 520, 578;
    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";
  }
  Rrs_412 {
    UInt32 _ChunkSizes 1, 520, 578;
    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 {
    UInt32 _ChunkSizes 1, 520, 578;
    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 {
    UInt32 _ChunkSizes 1, 520, 578;
    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 {
    UInt32 _ChunkSizes 1, 520, 578;
    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 {
    UInt32 _ChunkSizes 1, 520, 578;
    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 {
    UInt32 _ChunkSizes 1, 520, 578;
    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 {
    UInt32 _ChunkSizes 1, 520, 578;
    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 {
    UInt32 _ChunkSizes 1, 520, 578;
    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 {
    UInt32 _ChunkSizes 1, 520, 578;
    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 {
    UInt32 _ChunkSizes 1, 520, 578;
    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 {
    UInt32 _ChunkSizes 1, 520, 578;
    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 {
    UInt32 _ChunkSizes 1, 520, 578;
    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";
  }
  c_547_qaa {
    UInt32 _ChunkSizes 1, 520, 578;
    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";
  }
  adg_412_qaa {
    UInt32 _ChunkSizes 1, 520, 578;
    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";
  }
  aph_443_qaa {
    UInt32 _ChunkSizes 1, 520, 578;
    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";
  }
  bb_547_qaa {
    UInt32 _ChunkSizes 1, 520, 578;
    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";
  }
  a_678_qaa {
    UInt32 _ChunkSizes 1, 520, 578;
    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";
  }
  a_667_qaa {
    UInt32 _ChunkSizes 1, 520, 578;
    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_645_qaa {
    UInt32 _ChunkSizes 1, 520, 578;
    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_555_qaa {
    UInt32 _ChunkSizes 1, 520, 578;
    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_547_qaa {
    UInt32 _ChunkSizes 1, 520, 578;
    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_531_qaa {
    UInt32 _ChunkSizes 1, 520, 578;
    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_488_qaa {
    UInt32 _ChunkSizes 1, 520, 578;
    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_469_qaa {
    UInt32 _ChunkSizes 1, 520, 578;
    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_443_qaa {
    UInt32 _ChunkSizes 1, 520, 578;
    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_412_qaa {
    UInt32 _ChunkSizes 1, 520, 578;
    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";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    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 
"Sat Mar 17 07:10:10 2018: /archive/crs/opt/bin/ncea -L 5 -v sst,chl_oc3,poc,pic,Rrs_412,Rrs_443,Rrs_469,Rrs_488,Rrs_531,Rrs_547,Rrs_555,Rrs_645,Rrs_667,Rrs_678,Rrs_748,Rrs_859,c_547_qaa,adg_412_qaa,aph_443_qaa,bb_547_qaa,a_678_qaa,a_667_qaa,a_645_qaa,a_555_qaa,a_547_qaa,a_531_qaa,a_488_qaa,a_469_qaa,a_443_qaa,a_412_qaa aqua.2003335.1201.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2003336.1202.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2003337.1203.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2003338.1204.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2003339.1205.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2003340.1206.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2003341.1207.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2003342.1208.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2003343.1209.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2003344.1210.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp 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aqua.2017347.1213.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017348.1214.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017349.1215.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017350.1216.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017351.1217.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017352.1218.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017353.1219.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017354.1220.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017355.1221.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017356.1222.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017357.1223.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017358.1224.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017359.1225.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017360.1226.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017361.1227.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017362.1228.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017363.1229.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017364.1230.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.2017365.1231.235959.D.L3.modis.NAT.v09.1000m.nc4.preinterp aqua.12.nc4
 
2025-10-31T06:34:37Z (local files)
2025-10-31T06:34:37Z http://basin.ceoe.udel.edu/erddap/griddap/aqua_monthly_climatology.das";
    String infoUrl "https://aqua.nasa.gov/modis/";
    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, adg_412_qaa, algorithm, aph_443_qaa, aqua, attenuation, backscattering, balch, bb_547_qaa, beam, c_547_qaa, calcite, calculation, carbon, chemistry, chl_oc3, chlorophyll, color, concentration, concentration_of_chlorophyll_in_sea_water, data, delaware, detrital, due, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, gelbstoff, gordon, imaging, material, moderate, modis, oc3, ocean, ocean color, oceans, optical, optical properties, organic, particulate, phytoplankton, pic, poc, properties, qaa, quality, 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, surface, temperature, time, total, university, version, 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.";
    Int32 nco_openmp_thread_number 1;
    Float64 Northernmost_Northing 51.999999999992106;
    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 "1-Month Climatology is a monthly average of all available MODIS Aqua 1-Day Composites from 2003-2017. Because optical products are not normally distributed, they were first Log10 transformed, then averaged, then back transformed to represent the mean. 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 title "MODIS Aqua 1-Month 1 km Climatology Northwest Atlantic";
    String url "http://orb.ceoe.udel.edu/";
    Float64 Westernmost_Easting -99.0;
  }
}

 

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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
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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