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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Extended AVHRR Polar Pathfinder Fundamental Climate Data Record (APPx CDR) [
columns][rows]
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Institution:  Cooperative Institute for Meteorological Studies, University of Wisconsin at Madison   (Dataset ID: noaa_ngdc_da08_dcdf_2100)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
columns (count) ?
    +
    -
< slider >
rows (count) ?     specify just 1 value →
    << -
< <
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Y Axis Minimum:   Maximum:   Ascending: 
 
(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 ? )
    [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 {
  columns {
    Int32 actual_range 0, 360;
    String ioos_category "Unknown";
    String long_name "Columns";
    String units "count";
  }
  rows {
    Int16 actual_range 0, 360;
    String ioos_category "Unknown";
    String long_name "Rows";
    String units "count";
  }
  longitude {
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "longitude of EASE Grid 25km resolution in the polar regions, Arctic (361,361), Antarctic (321,321)";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "latitude of EASE Grid 25km resolution in the polar regionsArctic (361,361), Antarctic (321,321)";
    String standard_name "latitude";
    String units "degrees_north";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String cdr_program "NOAA Climate Data Record Program for satellites";
    String cdr_variable "cdr_surface_temperature, cdr_surface_albedo, cdr_surface_downwelling_shortwave_flux, cdr_surface_downwelling_longwave_flux, cdr_surface_upwelling_shortwave_flux, cdr_surface_upwelling_longwave_flux, cdr_cloud_binary_mask, cdr_sea_ice_thickness, cdr_toa_net_downward_shortwave_flux, cdr_toa_outgoing_shortwave_flux, cdr_toa_outgoing_longwave_flux,surface_type, cloud_particle_phase, cloud_particle_radius, cloud_optical_depth, cloud_top_pressure, cloud_top_temperature, Cloud_type, surface_shortwave_cloud_radiative_forcing, surface_longwave_cloud_radiative_forcing";
    String Conventions "CF-1.6, ACDD-1.3, NOAA CDR v1.0, GDS v2.0, COARDS";
    String creator_email "ngdc.info@noaa.gov";
    String creator_name "Cooperative Institute for Meteorological Studies, University of Wisconsin at Madison";
    String creator_type "institution";
    String creator_url "https://www.ngdc.noaa.gov/";
    String date_created "2016-08-01";
    String history 
"individual twice daily APP-x data
2018-07-21T21:32:34Z https://www.ngdc.noaa.gov/thredds/dodsC/arctic/Polar-APP-X_v01r01_Nhem_1400_d20160801_c20160803.nc
2018-07-21T21:32:34Z http://upwell.pfeg.noaa.gov/griddap/noaa_ngdc_da08_dcdf_2100.das";
    String id "arctic/Polar-APP-X_v01r01_Nhem_1400_d20160801_c20160803.nchttps://www.ngdc.noaa.gov/thredds/dodsC/arctic/Polar-APP-X_v01r01_Nhem_1400_d20160801_c20160803.nc";
    String infoUrl "https://www.ngdc.noaa.gov/thredds/dodsC/arctic/Polar-APP-X_v01r01_Nhem_1400_d20160801_c20160803.nc.html";
    String institution "Cooperative Institute for Meteorological Studies, University of Wisconsin at Madison";
    String keywords "25km, advanced, albedo, antarctic, appx, arctic, atmosphere, atmospheric, avhrr, cdr, climate, cloud, cloud cover, cloudiness, clouds, columns, concentration, cooperative, cover, cryosphere, cryospheric, data, depth, droplet, earth, Earth Science > Atmosphere > Atmospheric Radiation > Longwave Radiation, Earth Science > Atmosphere > Atmospheric Radiation > Radiative Flux, Earth Science > Atmosphere > Atmospheric Radiation > Solar Radiation, Earth Science > Atmosphere > Clouds > Cloud Microphysics > Cloud Droplet Concentration(Size), Earth Science > Atmosphere > Clouds > Cloud Microphysics > Cloud Droplet Phase, Earth Science > Atmosphere > Clouds > Cloud Microphysics > Cloud Optical Depth(Thickness), Earth Science > Atmosphere > Clouds > Cloud Properties > Cloud Fraction, Earth Science > Atmosphere > Clouds > Cloud Properties > Cloud Top Pressure, Earth Science > Atmosphere > Clouds > Cloud Properties > Cloud Top Temperature, Earth Science > Atmosphere > Clouds > Cloud Properties > Cloud Type, Earth Science > Atmosphere > Clouds > Cloud Radiative Transfer > Cloud Radiative Forcing, Earth Science > Climate Indicators > Cryospheric Indicators > Ice Depth(Thickness), Earth Science > Cryosphere > Sea Ice > Ice Depth(Thickness), Earth Science > Cryosphere > Snow And Ice > Albedo, Earth Science > Cryosphere > Snow And Ice > Snow And Ice Temperature, Earth Science > Land Surface > Land Albedo, Earth Science > Land Surface > Land Temperature, Earth Science > Oceans > Sea Ice > Ice Depth(Thickness), Earth Science > Terrestrial Hydrosphere > Snow And Ice > Albedo, Earth Science > Terrestrial Hydrosphere > Snow And Ice > Ice Depth(Thickness), ease, extended, flux, forcing, fraction, fundamental, grid, high, hydrosphere, ice, indicators, institute, land, latitude, longitude, longwave, madison, meteorological, microphysics, ocean, oceans, optical, pathfinder, phase, polar, pressure, properties, radiation, radiative, radiometer, record, regions, regionsarctic, resolution, rows, science, sea, size, snow, solar, studies, surface, temperature, terrestrial, thickness, top, transfer, type, university, very, vhrr, wisconsin";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "No restrictions on access or use";
    String metadata_link "C00941";
    String nameing_authority "gov.noaa.ncdc";
    String platform "NOAA polar orbiting satellite 19";
    String product_version "V2.0";
    String sensor "Advanced Very High Resolution Radiometer/3";
    String source "individual twice daily APP-x data";
    String sourceUrl "https://www.ngdc.noaa.gov/thredds/dodsC/arctic/Polar-APP-X_v01r01_Nhem_1400_d20160801_c20160803.nc";
    String spatial_resolution "25 km";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "The Extended Advanced Very High Resolution Radiometer (AVHRR) Polar Pathfinder (APP-x) version-2 Thematic Climate Data Record (CDR) includes surface temperature, surface albedo, surface and the Top Of the Atmosphere (TOA) shortwave and longwave radiative fluxes, cloud properties (amount, phase, particle size, optical depth,top pressure and temperature, surface and TOA radiative effect), and ice thickness and age. The APP-x CDR has twice daily data at local solar times of 14 and 04(02) for the Arctic(Antarctic) at a spatial resolution of 25 km for both poles.";
    String title "Extended AVHRR Polar Pathfinder Fundamental Climate Data Record (APPx CDR) [columns][rows]";
  }
}

 

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://upwell.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://upwell.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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