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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Global Seascapes: Prototype Subscribe RSS
Institution:  NOAA CoastWatch, OSU, USF, NASA, UAF, IOOS, NMS   (Dataset ID: noaa_aoml_4729_9ee6_ab54)
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 →
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latitude (degrees_north) ?
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longitude (degrees_east) ?
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Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   Ascending: 
 
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Zoom:
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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 {
    Int32 _ChunkSizes 524288;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.042632e+9, 1.563192e+9;
    String axis "T";
    String calendar "Gregorian";
    String CoordinateAxisType "Time";
    String ioos_category "Time";
    String long_name "Reference Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    Int32 _ChunkSizes 3600;
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.975, 89.975;
    String axis "Y";
    String comment "Latitude";
    String coordsys "geographic";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    Int32 _ChunkSizes 7200;
    String _CoordinateAxisType "Lon";
    Float32 actual_range -179.975, 179.975;
    String axis "X";
    String comment "Longitude";
    String coordsys "geographic";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  CLASS {
    Int32 _ChunkSizes 1, 1200, 2400;
    Byte _FillValue 0;
    String _Unsigned "false";
    Float32 colorBarMaximum 33.0;
    Float32 colorBarMinimum 1.0;
    String colorBarNSections "33";
    String colorBarPalette "Seascapes";
    String comment 
"SEASCAPE ID NUMBER|NOMINAL DESCRIPTOR|SST  (°C)|SSS (psu)|ADT (m)|ICE (%)|CDOM (m^-1)|CHLA (mg m^-3)|NFLH (W m^-2 um^-1 sr^-1)|NFLH:CHL|LATITUDE|DOMINANT HEMISPHERE|DOMINANT SEASON
1|NORTH ATLANTIC SPRING, ACC TRANSITION|5.08|34.18|-0.37|0|0.01|0.21|0.08|0.37|SUBPOLAR|SOUTH|SPRING-AUTUMN
2|SUBPOLAR TRANSITION|12.23|34.43|0.5|0|0.01|0.12|0.06|0.51|TEMPERATE|SOUTH|YEAR ROUND
3|TROPICAL SUBTROPICAL TRANSITION|24.12|35.34|0.68|0|0.01|0.15|0.06|0.4|TROPICAL|BOTH|YEAR ROUND
4|WESTERN WARM POOL SUBTROPICAL|28.25|34.4|1.1|0|0|0.06|0.05|0.79|SUBTROPICAL|BOTH|AUTUMN
5|SUBTROPICAL GYRE TRANSITION|23.95|35.89|0.71|0|0|0.07|0.04|0.5|SUBTROPICAL TEMPERATE|BOTH|AUTUMN-WINTER
6|ACC, NUTRIENT STRESS|1.38|34.01|-1|0|0.01|0.18|0.07|0.42|SUBPOLAR POLAR|SOUTH|WINTER
7|TEMPERATE TRANSITION|12.98|34.72|0.37|0|0.01|0.28|0.11|0.41|TEMPERATE|BOTH|WINTER
8|INDOPACIFIC SUBTROPICAL GYRE|25.13|34.52|0.99|0|0|0.07|0.02|0.34|SUBTROPICAL|BOTH|YEAR ROUND
9|EQUATORIAL TRANSITION|28.01|33.84|0.86|0|0.01|0.14|0.05|0.37|TROPICAL|BOTH|YEAR ROUND
10|HIGHLY OLIGOTROPHIC SUBTROPICAL GYRE|23.85|35.64|0.87|0|0|0.04|0.03|0.79|SUBTROPICAL|SOUTH|SUMMER
11|TROPICAL/SUBTROPICAL UPWELLING|22.94|34.79|0.83|0|0.01|0.27|0.11|0.39|\"TROPICAL,SUBTROPICAL\"|BOTH|WINTER
12|SUBPOLAR|8.62|32.91|0.3|0|0.02|0.37|0.08|0.22|TEMPERATE/SUBPOLAR|BOTH|YEAR ROUND
13|SUBTROPICAL GYRE MESOSCALE INFLUENCED|23.47|35.89|0.52|0|0.01|0.1|0.02|0.19|SUBTROPICAL TEMPERATE|BOTH|SPRING-SUMMER
14|TEMPERATE BLOOMS UPWELLING|9.95|33.91|-0.01|0|0.03|0.84|0.16|0.19|TEMPERATE/SUBPOLAR|BOTH|SPRING SUMMER
15|TROPICAL SEAS|25.35|35.4|0.51|0|0.02|0.32|0.06|0.2|TROPICAL/SUBTROPICAL|BOTH|WINTER
16|MEDITTERANEAN RED SEA|18.74|37.87|0.03|0|0.02|0.22|0.05|0.22|SUBTROPICAL/TEMPERATE|NORTH|WINTER
17|SUBTROPICAL TRANSITION LOW NUTRIENT STRESS|20.89|33.59|0.64|0|0.01|0.17|0.02|0.15|TROPICAL/SUBTROPICAL|NORTH|SUMMER
18|MEDITTERANEAN RED SEA|21.94|37.72|-0.05|0|0.01|0.11|0.01|0.1|TEMPERATE/SUBPOLAR|BOTH|SPRING-SUMMER
19|ARTIC/ SUBPOLAR SHELVES|7.63|31.55|0.15|0|0.05|1.19|0.11|0.09|TEMPERATE/SUBPOLAR|BOTH|YEAR ROUND
20|SUBTROPICAL, FRESH INFLUENCED COASTAL|27.45|31.82|0.88|0|0.02|0.34|0.06|0.18|SUBTROPICAL|NORTH|WINTER/YEAR-ROUND
21|WARM, BLOOMS, HIGH NUTS|22.54|34.46|0.57|0|0.07|2.09|0.24|0.12|TROPICAL/SUBTROPICAL|BOTH|WINTER/YEAR-ROUND
22|ARCTIC LATE SUMMER|6.26|30.1|-0.09|0.43|0.03|0.47|0.03|0.06|SUBPOLAR/POLAR|NORTH|SUMMER
23|FRESHWATER INFLUENCED POLAR/SUBPOLAR SHELVES|8|27.74|0.11|1|0.05|1.16|0.06|0.05|SUBPOLAR/POLAR|NORTH|SUMMER
24|ANTARCTIC SHELVES|0.23|33.84|-1.11|18.62|0.01|0.32|0.1|0.3|SUBPOLAR/POLAR|SOUTH|SPRING SUMMER
25|ICE PACK/LARGE POLYNAS|0.8|30.64|-0.38|62.24|0.02|0.51|0.06|0.12|SUBPOLAR/POLAR|BOTH|SPRING SUMMER
26|ANTARCTIC ICE EDGE|0.26|33.58|-0.97|34.35|0.01|0.4|0.11|0.27|POLAR|SOUTH|SUMMER
27|HYPERSALINE EUTROPHIC, PERSIAN GULF, RED SEA|25.95|38.14|0.54|0|0.07|1.15|0.11|0.09|SUBTROPICAL/TEMPERATE|NORTH|WINTER/YEAR-ROUND
28|ARCTIC ICE EDGE|2.33|27.76|0.06|35.84|0.03|0.64|0.03|0.05|POLAR|NORTH|SUMMER
29|ANTARCTIC |0.15|33.89|-1.15|9.13|0.01|0.27|0.09|0.32|POLAR|SOUTH|SUMMER
30|ICE EDGE  BLOOM|2.32|29.87|0.04|15.52|0.04|0.81|0.05|0.06|SUBPOLAR/POLAR|NORTH|SPRING SUMMER
31|1-30% ICE PRESENT|NaN|NaN|NaN|15|NaN|NaN|NaN|NaN|SUBPOLAR POLAR|BOTH|YEAR ROUND
32|30-80% MARGINAL ICE|NaN|NaN|NaN|50|NaN|NaN|NaN|NaN|SUBPOLAR POLAR|BOTH|YEAR ROUND
33|PACK ICE|NaN|NaN|NaN|90|NaN|NaN|NaN|NaN|SUBPOLAR POLAR|BOTH|YEAR ROUND";
    String flag_meanings "NORTH_ATLANTIC_SPRING_ACC_TRANSITION SUBPOLAR_TRANSITION TROPICAL_SUBTROPICAL_TRANSITION WESTERN_WARM_POOL_SUBTROPICAL SUBTROPICAL_GYRE_TRANSITION ACC_NUTRIENT_STRESS TEMPERATE_TRANSITION INDOPACIFIC_SUBTROPICAL_GYRE EQUATORIAL_TRANSITION HIGHLY_OLIGOTROPHIC_SUBTROPICAL_GYRE TROPICAL_SUBTROPICAL_UPWELLING SUBPOLAR SUBTROPICAL_GYRE_MESOSCALE_INFLUENCED TEMPERATE_BLOOMS_UPWELLING TROPICAL_SEAS MEDITTERANEAN_RED_SEA SUBTROPICAL_TRANSITION_LOW_NUTRIENT_STRESS MEDITERRANEAN_RED_SEA ARTIC_SUBPOLAR_SHELVES SUBTROPICAL_FRESH_INFLUENCED_COASTAL WARM_BLOOMS_HIGH_NUTS ARCTIC_LATE_SUMMER FRESHWATER_INFLUENCED_POLAR_SUBPOLAR_SHELVES ANTARCTIC_SHELVES ICE_PACK_LARGE_POLYNAS ANTARCTIC_ICE_EDGE HYPERSALINE_EUTROPHIC_PERSIAN_GULF_RED_SEA ARCTIC_ICE_EDGE ANTARCTIC ICE_EDGE_BLOOM 1_30percent_ICE_PRESENT 30_80percent_MARGINAL_ICE PACK_ICE";
    String flag_values "1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33";
    String ioos_category "Unknown";
    String long_name "CLASS";
    String standard_name "class";
    String units "None";
  }
  P {
    Int32 _ChunkSizes 1, 720, 1440;
    Float32 colorBarMaximum 1.0;
    Float32 colorBarMinimum 0.0;
    String comment "Probabilities";
    String ioos_category "Unknown";
    String long_name "Prob";
    String standard_name "prob";
    String units "Punits";
  }
  NC_GLOBAL {
    String acknowledgement "The U.S. MBON projects are funded under the National Ocean Partnership Program (NOPP RFP NOAA-NOS-IOOS-2014-2003803) in partnership between NOAA, BOEM, and NASA";
    String cdm_data_type "Grid";
    String contact "Joaquin.Trinanes@noaa.gov/mkavanau@ceoas.oregonstate.edu";
    String Conventions "COARDS, CF-1.4, Unidata Dataset Discovery v1.0";
    String creator_email "Joaquin.Trinanes@noaa.gov/mkavanau@ceoas.oregonstate.edu";
    String creator_type "group";
    String creator_url "https://cwcgom.aoml.noaa.gov";
    String date_created "2019-09-13T18:50:21.708521Z";
    Float64 Easternmost_Easting 179.975;
    Float64 geospatial_lat_max 89.975;
    Float64 geospatial_lat_min -89.975;
    Float64 geospatial_lat_resolution 0.049999999999999996;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.975;
    Float64 geospatial_lon_min -179.975;
    Float64 geospatial_lon_resolution 0.049999999999999996;
    String geospatial_lon_units "degrees_east";
    String history 
"2019-09-15T20:52:03Z https://cwcgom.aoml.noaa.gov/thredds/dodsC/SEASCAPE_MONTH/SEASCAPES.nc
2019-09-15T20:52:03Z http://cwcgom.aoml.noaa.gov:8080/griddap/noaa_aoml_4729_9ee6_ab54.das";
    String infoUrl "https://cwcgom.aoml.noaa.gov/thredds/dodsC/SEASCAPE_MONTH/SEASCAPES.nc.html";
    String institution "NOAA CoastWatch, OSU, USF, NASA, UAF, IOOS, NMS";
    String keywords "biogeography, CoastWatch, Earth Science > Oceans, gmm, mbon, MODIS, seascape, surface";
    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_Conventions "COARDS, CF-1.4, Unidata Dataset Discovery v1.0";
    String NCO "netCDF Operators version 4.7.5 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)";
    Float64 Northernmost_Northing 89.975;
    String references "Kavanaugh M. et al. Seascapes as a new vernacular for pelagic ocean monitoring, management and conservation.  ICES Journal of Marine Science. DOI: 10.1093/icesjms/fsw086";
    String source_data "MODIS, HYCOM, GOES, POES, SSMIS";
    String sourceUrl "https://cwcgom.aoml.noaa.gov/thredds/dodsC/SEASCAPE_MONTH/SEASCAPES.nc";
    Float64 Southernmost_Northing -89.975;
    String spatial_resolution "5 km";
    String standard_name_vocabulary "CF-12";
    String summary "Biogeographic framework. Space and time classified simultaneously from synoptic time series using hierarchical and topology preserving machine learning";
    String time_coverage_duration "P0Y1M0DT0H0M0S";
    String time_coverage_end "2019-07-15T12:00:00Z";
    String time_coverage_start "2003-01-15T12:00:00Z";
    String title "Global Seascapes: Prototype";
    Float64 Westernmost_Easting -179.975;
  }
}

 

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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