ERDDAP > tabledap > Make A Graph

Dataset Title:	Climate Change Tower Meteorological Data (D1.5 - QC one minute data, under request)
Institution:	CNR - National Research Council of Italy   (Dataset ID: iadc_d1_5_meteo_cct)
Information:	Summary | License | Metadata | Background

 

Graph Type:  lines linesAndMarkers markers sticks X Axis:  time Air_temperature_at_33_m Air_temperature_at_10_m Air_temperature_at_5_m Air_temperature_at_2_m Relative_humidity_at_33_m Relative_humidity_at_10_m Relative_humidity_at_5_m Relative_humidity_at_2_m Pressure Scalar_mean_wind_speed_at_33_m Scalar_mean_wind_speed_at_10_m Scalar_mean_wind_speed_at_5_m Scalar_mean_wind_speed_at_2_m Mean_wind_vector_direction_at_33_m Mean_wind_vector_direction_at_10_m Mean_wind_vector_direction_at_5_m Mean_wind_vector_direction_at_2_m Y Axis:  time Air_temperature_at_33_m Air_temperature_at_10_m Air_temperature_at_5_m Air_temperature_at_2_m Relative_humidity_at_33_m Relative_humidity_at_10_m Relative_humidity_at_5_m Relative_humidity_at_2_m Pressure Scalar_mean_wind_speed_at_33_m Scalar_mean_wind_speed_at_10_m Scalar_mean_wind_speed_at_5_m Scalar_mean_wind_speed_at_2_m Mean_wind_vector_direction_at_33_m Mean_wind_vector_direction_at_10_m Mean_wind_vector_direction_at_5_m Mean_wind_vector_direction_at_2_m Color:  time Air_temperature_at_33_m Air_temperature_at_10_m Air_temperature_at_5_m Air_temperature_at_2_m Relative_humidity_at_33_m Relative_humidity_at_10_m Relative_humidity_at_5_m Relative_humidity_at_2_m Pressure Scalar_mean_wind_speed_at_33_m Scalar_mean_wind_speed_at_10_m Scalar_mean_wind_speed_at_5_m Scalar_mean_wind_speed_at_2_m Mean_wind_vector_direction_at_33_m Mean_wind_vector_direction_at_10_m Mean_wind_vector_direction_at_5_m Mean_wind_vector_direction_at_2_m   Constraints Optional Constraint #1 Optional Constraint #2 time Air_temperature_at_33_m Air_temperature_at_10_m Air_temperature_at_5_m Air_temperature_at_2_m Relative_humidity_at_33_m Relative_humidity_at_10_m Relative_humidity_at_5_m Relative_humidity_at_2_m Pressure Scalar_mean_wind_speed_at_33_m Scalar_mean_wind_speed_at_10_m Scalar_mean_wind_speed_at_5_m Scalar_mean_wind_speed_at_2_m Mean_wind_vector_direction_at_33_m Mean_wind_vector_direction_at_10_m Mean_wind_vector_direction_at_5_m Mean_wind_vector_direction_at_2_m     != =~ <= >= = < >     != =~ <= >= = < > time Air_temperature_at_33_m Air_temperature_at_10_m Air_temperature_at_5_m Air_temperature_at_2_m Relative_humidity_at_33_m Relative_humidity_at_10_m Relative_humidity_at_5_m Relative_humidity_at_2_m Pressure Scalar_mean_wind_speed_at_33_m Scalar_mean_wind_speed_at_10_m Scalar_mean_wind_speed_at_5_m Scalar_mean_wind_speed_at_2_m Mean_wind_vector_direction_at_33_m Mean_wind_vector_direction_at_10_m Mean_wind_vector_direction_at_5_m Mean_wind_vector_direction_at_2_m     != =~ <= >= = < >     != =~ <= >= = < > time Air_temperature_at_33_m Air_temperature_at_10_m Air_temperature_at_5_m Air_temperature_at_2_m Relative_humidity_at_33_m Relative_humidity_at_10_m Relative_humidity_at_5_m Relative_humidity_at_2_m Pressure Scalar_mean_wind_speed_at_33_m Scalar_mean_wind_speed_at_10_m Scalar_mean_wind_speed_at_5_m Scalar_mean_wind_speed_at_2_m Mean_wind_vector_direction_at_33_m Mean_wind_vector_direction_at_10_m Mean_wind_vector_direction_at_5_m Mean_wind_vector_direction_at_2_m     != =~ <= >= = < >     != =~ <= >= = < > time Air_temperature_at_33_m Air_temperature_at_10_m Air_temperature_at_5_m Air_temperature_at_2_m Relative_humidity_at_33_m Relative_humidity_at_10_m Relative_humidity_at_5_m Relative_humidity_at_2_m Pressure Scalar_mean_wind_speed_at_33_m Scalar_mean_wind_speed_at_10_m Scalar_mean_wind_speed_at_5_m Scalar_mean_wind_speed_at_2_m Mean_wind_vector_direction_at_33_m Mean_wind_vector_direction_at_10_m Mean_wind_vector_direction_at_5_m Mean_wind_vector_direction_at_2_m     != =~ <= >= = < >     != =~ <= >= = < > time Air_temperature_at_33_m Air_temperature_at_10_m Air_temperature_at_5_m Air_temperature_at_2_m Relative_humidity_at_33_m Relative_humidity_at_10_m Relative_humidity_at_5_m Relative_humidity_at_2_m Pressure Scalar_mean_wind_speed_at_33_m Scalar_mean_wind_speed_at_10_m Scalar_mean_wind_speed_at_5_m Scalar_mean_wind_speed_at_2_m Mean_wind_vector_direction_at_33_m Mean_wind_vector_direction_at_10_m Mean_wind_vector_direction_at_5_m Mean_wind_vector_direction_at_2_m     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time Air_temperature_at_33_m Air_temperature_at_10_m Air_temperature_at_5_m Air_temperature_at_2_m Relative_humidity_at_33_m Relative_humidity_at_10_m Relative_humidity_at_5_m Relative_humidity_at_2_m Pressure Scalar_mean_wind_speed_at_33_m Scalar_mean_wind_speed_at_10_m Scalar_mean_wind_speed_at_5_m Scalar_mean_wind_speed_at_2_m Mean_wind_vector_direction_at_33_m Mean_wind_vector_direction_at_10_m Mean_wind_vector_direction_at_5_m Mean_wind_vector_direction_at_2_m time Air_temperature_at_33_m Air_temperature_at_10_m Air_temperature_at_5_m Air_temperature_at_2_m Relative_humidity_at_33_m Relative_humidity_at_10_m Relative_humidity_at_5_m Relative_humidity_at_2_m Pressure Scalar_mean_wind_speed_at_33_m Scalar_mean_wind_speed_at_10_m Scalar_mean_wind_speed_at_5_m Scalar_mean_wind_speed_at_2_m Mean_wind_vector_direction_at_33_m Mean_wind_vector_direction_at_10_m Mean_wind_vector_direction_at_5_m Mean_wind_vector_direction_at_2_m time Air_temperature_at_33_m Air_temperature_at_10_m Air_temperature_at_5_m Air_temperature_at_2_m Relative_humidity_at_33_m Relative_humidity_at_10_m Relative_humidity_at_5_m Relative_humidity_at_2_m Pressure Scalar_mean_wind_speed_at_33_m Scalar_mean_wind_speed_at_10_m Scalar_mean_wind_speed_at_5_m Scalar_mean_wind_speed_at_2_m Mean_wind_vector_direction_at_33_m Mean_wind_vector_direction_at_10_m Mean_wind_vector_direction_at_5_m Mean_wind_vector_direction_at_2_m time Air_temperature_at_33_m Air_temperature_at_10_m Air_temperature_at_5_m Air_temperature_at_2_m Relative_humidity_at_33_m Relative_humidity_at_10_m Relative_humidity_at_5_m Relative_humidity_at_2_m Pressure Scalar_mean_wind_speed_at_33_m Scalar_mean_wind_speed_at_10_m Scalar_mean_wind_speed_at_5_m Scalar_mean_wind_speed_at_2_m Mean_wind_vector_direction_at_33_m Mean_wind_vector_direction_at_10_m Mean_wind_vector_direction_at_5_m Mean_wind_vector_direction_at_2_m ")   Graph Settings Marker Type:  None Plus X Dot Square Filled Square Circle Filled Circle Up Triangle Filled Up Triangle Borderless Filled Square Borderless Filled Circle Borderless Filled Up Triangle  Size:  3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Color:  Color Bar:  BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean OceanDepth Rainbow Rainbow2 Rainfall ReverseRainbow RedWhiteBlue RedWhiteBlue2 RedWideWhiteBlue Spectrum Topography TopographyDepth WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack YellowRed KT_algae KT_amp KT_balance KT_curl KT_deep KT_delta KT_dense KT_gray KT_haline KT_ice KT_matter KT_oxy KT_phase KT_solar KT_speed KT_tempo KT_thermal KT_turbid  Continuity:  Continuous Discrete  Scale:  Linear Log    Minimum:   Maximum:   N Sections:  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 34 35 36 37 38 39 40 Y Axis Minimum:   Maximum:    Ascending Descending Linear Log   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .das .dds .fgdc .graph .help .iso19115 .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this form )

Time range:  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 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 second(s) minute(s) hour(s) day(s) month(s) year(s)

 

---

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";
    String axis "T";
    String ioos_category "Time";
    String long_name "Date Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Air_temperature_at_33_m {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Air temperature at 33 meters above ground level";
    String standard_name "air_temperature";
    String units "degree_C";
  }
  Air_temperature_at_10_m {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Air temperature at 10 meters above ground level";
    String standard_name "air_temperature";
    String units "degree_C";
  }
  Air_temperature_at_5_m {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Air temperature at 5 meters above ground level";
    String standard_name "air_temperature";
    String units "degree_C";
  }
  Air_temperature_at_2_m {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Air temperature at 2 meters above ground level";
    String standard_name "air_temperature";
    String units "degree_C";
  }
  Relative_humidity_at_33_m {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Relative humidity at 33 meters above ground level";
    String standard_name "relative_humidity";
    String units "%";
  }
  Relative_humidity_at_10_m {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Relative humidity at 10 meters above ground level";
    String standard_name "relative_humidity";
    String units "%";
  }
  Relative_humidity_at_5_m {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Relative humidity at 5 meters above ground level";
    String standard_name "relative_humidity";
    String units "%";
  }
  Relative_humidity_at_2_m {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Relative humidity at 2 meters above ground level";
    String standard_name "relative_humidity";
    String units "%";
  }
  Pressure {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Mean atmospheric pressure";
    String standard_name "air_pressure";
    String units "hPa";
  }
  Scalar_mean_wind_speed_at_33_m {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Scalar mean wind speed at 33 meters above ground level";
    String standard_name "wind_speed";
    String units "m s-1";
  }
  Scalar_mean_wind_speed_at_10_m {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Scalar mean wind speed at 10 meters above ground level";
    String standard_name "wind_speed";
    String units "m s-1";
  }
  Scalar_mean_wind_speed_at_5_m {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Scalar mean wind speed at 5 meters above ground level";
    String standard_name "wind_speed";
    String units "m s-1";
  }
  Scalar_mean_wind_speed_at_2_m {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Scalar mean wind speed at 2 meters above ground level";
    String standard_name "wind_speed";
    String units "m s-1";
  }
  Mean_wind_vector_direction_at_33_m {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Mean wind vector direction at 33 meters above ground level";
    String standard_name "wind_from_direction";
    String units "degree";
  }
  Mean_wind_vector_direction_at_10_m {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Mean wind vector direction at 10 meters above ground level";
    String standard_name "wind_from_direction";
    String units "degree";
  }
  Mean_wind_vector_direction_at_5_m {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Mean wind vector direction at 5 meters above ground level";
    String standard_name "wind_from_direction";
    String units "degree";
  }
  Mean_wind_vector_direction_at_2_m {
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Meteorology";
    String long_name "Mean wind vector direction at 2 meters above ground level";
    String standard_name "wind_from_direction";
    String units "degree";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String geospatial_lat_max "78.92136";
    String geospatial_lat_min "78.92136";
    String geospatial_lat_units "degrees_north";
    String geospatial_lon_max "11.86587";
    String geospatial_lon_min "11.86587";
    String geospatial_lon_units "degrees_east";
    String history 
"2024-04-29T14:00:09Z (source database)
2024-04-29T14:00:09Z https://data.iadc.cnr.it/tabledap/iadc_d1_5_meteo_cct.das";
    String infoUrl "https://metadata.iadc.cnr.it/geonetwork/srv/api/records/cb5b0a66-5c66-4c19-8de9-b1a7b7373f34";
    String institution "CNR - National Research Council of Italy";
    String keywords "AIR TEMPERATURE, ATMOSPHERIC PRESSURE, ATMOSPHERIC WINDS, BOUNDARY LAYER TEMPERATURE, BOUNDARY LAYER WINDS, HUMIDITY, SURFACE WINDS";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "CC BY-NC: This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.";
    String platform "cct_tower";
    String project "Climate Change Tower Integrated Project (CCT-IP)";
    String project_URL "https://iadc.cnr.it";
    String sourceUrl "(source database)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The Climate Change Tower Integrated Project (CCT-IP) represents the guide lines of the italian research in the arctic and aims to study the interaction between all the components of the climate system in the Arctic. The  Amundsen-Nobile Climate Change Tower (CCT) is the key infrastructure of the project, and provides continuous acquisition of the atmospheric parameters at different heights as well as at the interface between the surface and the atmosphere.";
    String title "Climate Change Tower Meteorological Data (D1.5 - QC one minute data, under request)";
  }
}

 

---

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 Data Access Protocol (DAP) and its selection 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 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.

 

---

ERDDAP, Version 2.23
Disclaimers | Privacy Policy | Contact