Italian Arctic Data Center - ERDDAP
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Dataset Title:	Observations of snow sublimation in Ny-Ålesund, Svalbard
Institution:	Institute of Atmospheric Sciences and Climate (Dataset ID: c4953def-c151-404a-8ed4-e7ae519cb95b)
Range:	longitude = 11.87 to 11.87°E, latitude = 78.92 to 78.92°N, time = 2021-04-09T14:00:00Z to 2023-09-15T16:00:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6179768e+9, 1.6947936e+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 time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  H {
    Float64 _FillValue NaN;
    Float64 actual_range -94.7832, 87.0046;
    String long_name "Sensible Heat Flux";
    String standard_name "sensible heat flux";
    String units "W m-2";
  }
  h2o_mixing_ratio {
    Float64 _FillValue NaN;
    Float64 actual_range 0.569772, 12.5397;
    String long_name "H2O Mixing Ratio";
    String standard_name "mixing ratio h2o";
    String units "mmol mol-1";
  }
  h2o_flux {
    Float64 _FillValue NaN;
    Float64 actual_range -0.184454, 1.51869;
    String long_name "H2O Flux";
    String standard_name "water_vapour flux";
    String units "mmol s-1 m-2";
  }
  LE {
    Float64 _FillValue NaN;
    Float64 actual_range -8.35563829784409, 68.6367427290942;
    String long_name "Latent Heat Flux of Evaporation";
    String standard_name "latent_heat_flux";
    String units "W m-2";
  }
  LS {
    Float64 _FillValue NaN;
    Float64 actual_range -9.47414049817173, 77.8505498775243;
    String long_name "Latent Heat Flux of Sublimation";
    String standard_name "latent_heat_flux";
    String units "W m-2";
  }
  Ts {
    Float64 _FillValue NaN;
    Float64 actual_range 251.221, 290.201;
    String long_name "sonic_temperature";
    String standard_name "sonic_temperature";
    String units "°K";
  }
  air_temperature {
    Float64 _FillValue NaN;
    Float64 actual_range -22.86374408, 17.063;
    String long_name "Air Temperature";
    String standard_name "air_temperature";
    String units "°C";
  }
  air_pressure {
    Float64 _FillValue NaN;
    Float64 actual_range 94058.86631, 102834.0;
    String long_name "Air Pressure";
    String standard_name "air_pressure";
    String units "Pa";
  }
  RH {
    Float64 _FillValue NaN;
    Float64 actual_range 19.2637, 99.0226;
    String long_name "Relative Humidity";
    String standard_name "relative_humidity";
    String units "%";
  }
  VPD {
    Float64 _FillValue NaN;
    Float64 actual_range 6.40542, 1000.84;
    String long_name "Vapour Pressure Deficit";
    String standard_name "vapour_pressure_deficit";
    String units "Pa";
  }
  wind_speed {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0355304, 22.4133307;
    String long_name "Wind Speed";
    String standard_name "wind_speed";
    String units "m s-1";
  }
  wind_dir {
    Float64 _FillValue NaN;
    Float64 actual_range 10.0345, 259.956;
    String long_name "Wind From Direction";
    String standard_name "wind_from_direction";
    String units "degree North";
  }
  ustar {
    Float64 _FillValue NaN;
    Float64 actual_range 0.010942, 1.33546;
    String long_name "friction velocity";
    String standard_name "friction_velocity";
    String units "m s-1";
  }
  TKE {
    Float64 _FillValue NaN;
    Float64 actual_range 0.00546388, 17.3526;
    String long_name "Turbulent Kinetic Energy";
    String standard_name "turbulent_kinetic_energy";
    String units "m s-2";
  }
  L {
    Float64 _FillValue NaN;
    Float64 actual_range -385153.0, 1013900.0;
    String long_name "Monin-Obhukov Length";
    String standard_name "obhukov_length";
    String units "m";
  }
  Ts1 {
    Float32 _FillValue NaN;
    Float32 actual_range -17.464, 16.145;
    String long_name "Soil Temperature 5cm";
    String standard_name "soil_temperature";
    String units "°C";
  }
  Ts2 {
    Float32 _FillValue NaN;
    Float32 actual_range -16.829, 15.138;
    String long_name "Soil Temperature 10cm";
    String standard_name "soil_temperature";
    String units "°C";
  }
  ground_flux_1cm {
    Float64 _FillValue NaN;
    Float64 actual_range -64.6920813559322, 38.9218706842435;
    String long_name "Heat Ground Flux 1cm";
    String standard_name "heat_ground_flux";
    String units "W m-2";
  }
  ground_flux_10cm {
    Float64 _FillValue NaN;
    Float64 actual_range -64.4480677966102, 37.9632949152542;
    String long_name "Heat Ground Flux 10cm";
    String standard_name "heat_ground_flux";
    String units "W m-2";
  }
  LW_in {
    Float64 _FillValue NaN;
    Float64 actual_range 125.0788, 364.0091;
    String long_name "long wave radiation incoming";
    String standard_name "long_wave_radiation_incoming";
    String units "W m-2";
  }
  SW_in {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 933.32;
    String long_name "short wave radiation incoming";
    String standard_name "short_wave_radiation_incoming";
    String units "W m-2";
  }
  LW_out {
    Float64 _FillValue NaN;
    Float64 actual_range 184.7045, 408.0326;
    String long_name "long wave radiation outcoming";
    String standard_name "long_wave_radiation_outcoming";
    String units "W m-2";
  }
  SW_out {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 540.6733;
    String long_name "short wave radiation outcoming";
    String standard_name "short_wave_radiation_outcoming";
    String units "W m-2";
  }
  Rn {
    Float64 _FillValue NaN;
    Float64 actual_range -113.36397, 572.0823;
    String long_name "Net Radiation";
    String standard_name "net_radiation";
    String units "W m-2";
  }
  snow_h {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.5558162;
    String long_name "Snow Depth";
    String standard_name "snow_depth";
    String units "m";
  }
  h2o_flux_f {
    Float32 actual_range -0.18445, 1.5187;
    String long_name "H2O flux gap filled";
    String standard_name "water_vapour_flux";
    String units "mmol s-1 m-2";
  }
  H_f {
    Float32 actual_range -94.783, 87.005;
    String long_name "Sensible Heat Flux gap filled";
    String standard_name "sensible_heat_flux";
    String units "W m-2";
  }
  VPD_f {
    Float32 actual_range 0.064054, 10.0084;
    String long_name "vapour pressure deficit gap filled";
    String standard_name "vapour_pressure_deficit";
    String units "Pa";
  }
  deltaS {
    Float64 actual_range -0.005981289858, 0.04924656063;
    String long_name "cumulated H2O mass w.e.";
    String standard_name "h2o_w.e.";
    String units "mm w.e.";
  }
  T_skin {
    Float64 _FillValue NaN;
    Float64 actual_range -33.6448779141661, 18.8407894553874;
    String long_name "Skin Temperature";
    String standard_name "skin_temperature";
    String units "°C";
  }
  station_id {
    String actual_range 
"observations_of_snow_sublimation_in_nylesund_svalbard
observations_of_snow_sublimation_in_nylesund_svalbard";
    String cf_role "timeseries_id";
    String long_name "Id of the station in the TimeSeries";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 78.92, 78.92;
    String axis "Y";
    String ioos_category "Location";
    String long_name "latitude position of the station";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 11.87, 11.87;
    String axis "X";
    String ioos_category "Location";
    String long_name "longitude position of the station";
    String standard_name "longitude";
    String units "degrees_east";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_id,latitude,longitude";
    String contributor_email "mauro.mazzola@cnr.it; federico.scoto@cnr.it; simonetta.montaguti@cnr.it; stefano.decesari@cnr.it; daniela.famulari@cnr.it";
    String contributor_institution "Institute of Atmospheric Sciences and Climate";
    String contributor_name "Mauro Mazzola; Federico Scoto; Simonetta Montaguti; Stefano Decesari; Daniela Famulari";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_email "antonio.donateo@cnr.it";
    String creator_name "Antonio Donateo";
    String creator_url "https://www.isac.cnr.it";
    Float64 Easternmost_Easting 11.87;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 78.92;
    Float64 geospatial_lat_min 78.92;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 11.87;
    Float64 geospatial_lon_min 11.87;
    String geospatial_lon_units "degrees_east";
    String history 
"The dataset runs from 9 April 2021 until 15 September 2023 (30 min resolution)
2026-07-12T18:44:43Z (local files)
2026-07-12T18:44:43Z https://data.iadc.cnr.it/tabledap/c4953def-c151-404a-8ed4-e7ae519cb95b.das";
    String infoUrl "https://www.isac.cnr.it";
    String institution "Institute of Atmospheric Sciences and Climate";
    String keywords "CCT, eddy covariace, snow, sublimation, turbulent flux, water vapour flux";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "CC BY-NC-SA 4.0";
    Float64 Northernmost_Northing 78.92;
    String publisher_name "Italian Arctic Data Center";
    String publisher_type "group";
    String publisher_url "https://iadc.cnr.it";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 78.92;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Measurement of the water vapour turbulent flux and sublimation process at 15 m above sea level on the CCT.";
    String time_coverage_end "2023-09-15T16:00:00Z";
    String time_coverage_start "2021-04-09T14:00:00Z";
    String title "Observations of snow sublimation in Ny-Ålesund, Svalbard";
    Float64 Westernmost_Easting 11.87;
  }
}

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its selection 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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make 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.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.

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