ERDDAP > tabledap > Make A Graph

Dataset Title:	i4dvar test run
Institution:	Rutgers University   (Dataset ID: wc13_mod_i4dvar)
Range:	longitude = -133.0 to -116.666664°E, latitude = 30.7 to 47.3°N, time = 2004-01-03T12:00:00Z to 2004-01-07T00:00:00Z
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Data Access Form

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  datum NLmodel_initial NLmodel_value increment innovation residual BgError_value obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value Y Axis:  datum NLmodel_initial NLmodel_value increment innovation residual BgError_value obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value Color:  datum NLmodel_initial NLmodel_value increment innovation residual BgError_value obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value   Constraints Optional Constraint #1 Optional Constraint #2 datum NLmodel_initial NLmodel_value increment innovation residual BgError_value obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value     != =~ <= >= = < >     != =~ <= >= = < >     datum NLmodel_initial NLmodel_value increment innovation residual BgError_value obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value     != =~ <= >= = < >     != =~ <= >= = < >     datum NLmodel_initial NLmodel_value increment innovation residual BgError_value obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value     != =~ <= >= = < >     != =~ <= >= = < >     datum NLmodel_initial NLmodel_value increment innovation residual BgError_value obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value     != =~ <= >= = < >     != =~ <= >= = < >     datum NLmodel_initial NLmodel_value increment innovation residual BgError_value obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value     != =~ <= >= = < >     != =~ <= >= = < >       Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" datum NLmodel_initial NLmodel_value increment innovation residual BgError_value obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value datum NLmodel_initial NLmodel_value increment innovation residual BgError_value obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value datum NLmodel_initial NLmodel_value increment innovation residual BgError_value obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value datum NLmodel_initial NLmodel_value increment innovation residual BgError_value obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value ")   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 Draw land mask:  under over outline off 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: .asc .csv .csvp .csv0 .dataTable .das .dds .dods .esriCsv .fgdc .geoJson .graph .help .html .htmlTable .iso19115 .itx .json .jsonlCSV1 .jsonlCSV .jsonlKVP .mat .nc .ncHeader .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .subset .tsv .tsvp .tsv0 .wav .xhtml .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this form )

Click on the map to specify a new center point. Zoom:  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)

 

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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.
   

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  datum {
    Int16 actual_range 0, 6814;
    String ioos_category "Location";
    String long_name "Datum";
  }
  NLmodel_initial {
    Float64 _FillValue 1.0e+37;
    Float64 actual_range -0.2630046160353811, 34.59407707227053;
    String ioos_category "Location";
    String long_name "initial nonlinear model at observation locations";
  }
  NLmodel_value {
    Float64 _FillValue 1.0e+37;
    Float64 actual_range -0.2522740923839403, 34.59340553067608;
    String cell_methods "Nouter: mean";
    String ioos_category "Location";
    String long_name "nonlinear model at observation locations";
  }
  increment {
    Float64 actual_range -2.1110667667912306, 1.8778574164442663;
    String ioos_category "Unknown";
    String long_name "analysis (posterior) minus background (prior)";
    Float64 missing_value 1.0e+37;
  }
  innovation {
    Float64 actual_range -2.596571747537171, 34.452999114990234;
    String ioos_category "Unknown";
    String long_name "observation minus background (prior)";
    Float64 missing_value 1.0e+37;
  }
  residual {
    Float64 actual_range -1.7772211076582067, 34.452999114990234;
    String ioos_category "Unknown";
    String long_name "observation minus analysis (posterior)";
    Float64 missing_value 1.0e+37;
  }
  BgError_value {
    Float64 _FillValue 1.0e+37;
    Float64 actual_range 0.0017978175554876213, 0.9382255048858501;
    String ioos_category "Location";
    String long_name "Background error at observation locations";
  }
  obs_Zgrid {
    Float64 actual_range 1.3511163695013824, 30.0;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Location";
    String long_name "observation fractional z-grid location";
  }
  obs_depth {
    Float64 actual_range -1919.6863025891992, 0.0;
    String ioos_category "Location";
    String long_name "depth of observation";
    Float64 missing_value 1.0e+37;
    String negative_value "downwards";
    String units "meter";
  }
  obs_error {
    Float64 actual_range 1.0e-4, 2.229782860720055;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "observation error covariance";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 30.700000127156574, 47.300000508626304;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "observation latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -133.0000000000227, -116.66666666669099;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "observation longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  obs_provenance {
    Int32 actual_range 1, 7;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String flag_meanings "gridded_AVISO_SLA blended_SST XBT_Met_Office CTD_temperature_Met_Office CTD_salinity_Met_Office ARGO_temperature_Met_Office ARGO_salinity_Met_Office CTD_temperature_CalCOFI CTD_salinity_CalCOFI CTD_temperature_GLOBEC CTD_salinity_GLOBEC";
    Int32 flag_values 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11;
    String ioos_category "Unknown";
    String long_name "observation origin";
  }
  obs_scale {
    Float64 _FillValue 0.0;
    Float64 actual_range 1.0, 1.0;
    String ioos_category "Unknown";
    String long_name "observation screening/normalization scale";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.0731312e+9, 1.0734336e+9;
    String axis "T";
    String calendar "gregorian";
    String ioos_category "Time";
    String long_name "time of observation";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  obs_type {
    Int32 actual_range 1, 7;
    Float64 colorBarMaximum 8.0;
    Float64 colorBarMinimum 0.0;
    String flag_meanings "zeta ubar vbar u v temperature salinity";
    Int32 flag_values 1, 2, 3, 4, 5, 6, 7;
    String ioos_category "Location";
    String long_name "model state variable associated with observation";
  }
  obs_value {
    Float64 actual_range -0.23482880202428447, 34.60300064086914;
    String ioos_category "Unknown";
    String long_name "observation value";
  }
 }
  NC_GLOBAL {
    String Algorithm "IS4DVAR";
    String cdm_data_type "Point";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting -116.66666666669099;
    String featureType "Point";
    Float64 geospatial_lat_max 47.300000508626304;
    Float64 geospatial_lat_min 30.700000127156574;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -116.66666666669099;
    Float64 geospatial_lon_min -133.0000000000227;
    String geospatial_lon_units "degrees_east";
    String history 
"Mon Jul 22 08:23:49 2019: ncwa -a Nouter /home/om/cron/modtoerddap/tmp/temp.nc -O /home/om/cron/modtoerddap/data/erddap_wc13_mod_i4dvar.nc
Mon Jul 22 08:23:49 2019: ncks -v obs_time,obs_lon,obs_lat,obs_error,obs_value,obs_scale,obs_type,obs_depth,obs_provenance,obs_Zgrid,NLmodel_initial,NLmodel_value,BgError_value -d Nouter,-1 /home/om/dods-data/thredds/roms/projects/wilkin/wc13//wc13_mod_i4dvar.nc -O /home/om/cron/modtoerddap/tmp/temp.nc
2024-04-25T11:00:57Z (local files)
2024-04-25T11:00:57Z https://tds.marine.rutgers.edu/tabledap/wc13_mod_i4dvar.das";
    String infoUrl "???";
    String institution "Rutgers University";
    String keywords "associated, covariance, data, datum, depth, error, fractional, grid, initial, latitude, local, locations, longitude, model, NLmodel_initial, NLmodel_value, nonlinear, normalization, obs_depth, obs_error, obs_lat, obs_lon, obs_provenance, obs_scale, obs_time, obs_type, obs_value, obs_Zgrid, observation, origin, scale, screening, screening/normalization, source, state, statistics, time, value, variable, with, z-grid";
    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 NCO "netCDF Operators version 4.7.7 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 47.300000508626304;
    String obs_file "wc13_obs.nc";
    String obs_provenance 
"
 1: gridded AVISO sea level anomaly 
 2: blended satellite SST 
 3: XBT temperature from Met Office 
 4: CTD temperature from Met Office 
 5: CTD salinity from Met Office 
 6: ARGO floats temperature from Met Office 
 7: ARGO floats salinity from Met Office 
 8: CTD temperature from CalCOFI 
 9: CTD salinity from CalCOFI 
10: CTD temperature from GLOBEC 
11: CTD salinity from GLOBEC ";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 30.700000127156574;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String state_variables 
"
1: free-surface (m) 
2: vertically integrated u-momentum component (m/s) 
3: vertically integrated v-momentum component (m/s) 
4: u-momentum component (m/s) 
5: v-momentum component (m/s) 
6: potential temperature (Celsius) 
7: salinity (nondimensional)";
    String subsetVariables "obs_provenance, obs_scale, obs_type";
    String summary "i4dvar";
    String svn_url "https://www.myroms.org/svn/4dvar/trunk";
    String time_coverage_end "2004-01-07T00:00:00Z";
    String time_coverage_start "2004-01-03T12:00:00Z";
    String title "i4dvar test run";
    String type "ROMS/TOMS 4DVAR output observation processing file";
    Float64 Westernmost_Easting -133.0000000000227;
  }
}

 

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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.

 

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