ERDDAP > tabledap > Data Access Form

Dataset Title:	PSAS test run
Institution:	Rutgers University   (Dataset ID: wc13_mod_psas)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
datum	!= =~ <= >= = < >		!= =~ <= >= = < >		0	6814
ObsImpact_Total	!= =~ <= >= = < >		!= =~ <= >= = < >
ObsImpact_IC	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.21648934992734636	0.10021292806312092
ObsImpact_FC	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.05759638108224122	0.0221073551209092
ObsImpact_BC	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.03546222748920419	0.022253537826530032
NLmodel_initial	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.2630046160353811	34.59407707227053
NLmodel_value	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.2522740923839403	34.59340553067608
increment	!= =~ <= >= = < >		!= =~ <= >= = < >		-2.1110667667912306	1.8778574164442663
innovation	!= =~ <= >= = < >		!= =~ <= >= = < >		-2.596571747537171	34.452999114990234
residual	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.7772211076582067	34.452999114990234
obs_Zgrid	!= =~ <= >= = < >		!= =~ <= >= = < >		1.3511163695013824	30.0
obs_depth (depth of observation, meter)	!= =~ <= >= = < >		!= =~ <= >= = < >		-1919.6863025891992	0.0
obs_error (observation error covariance)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.0E-4	2.229782860720055
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		30.700000127156574	47.300000508626304
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-133.0000000000227	-116.66666666669099
obs_provenance (observation origin)	!= =~ <= >= = < >		!= =~ <= >= = < >		1 2 3 4 5 6 7
obs_scale	!= =~ <= >= = < >		!= =~ <= >= = < >		1.0 NaN
time (time of observation, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2004-01-03T12:00:00Z	2004-01-07T00:00:00Z
obs_type	!= =~ <= >= = < >		!= =~ <= >= = < >		1 6 7
obs_value (observation value)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.23482880202428447	34.60300064086914

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" datum ObsImpact_Total ObsImpact_IC ObsImpact_FC ObsImpact_BC NLmodel_initial NLmodel_value increment innovation residual obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value datum ObsImpact_Total ObsImpact_IC ObsImpact_FC ObsImpact_BC NLmodel_initial NLmodel_value increment innovation residual obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value datum ObsImpact_Total ObsImpact_IC ObsImpact_FC ObsImpact_BC NLmodel_initial NLmodel_value increment innovation residual obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value datum ObsImpact_Total ObsImpact_IC ObsImpact_FC ObsImpact_BC NLmodel_initial NLmodel_value increment innovation residual obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value datum ObsImpact_Total ObsImpact_IC ObsImpact_FC ObsImpact_BC NLmodel_initial NLmodel_value increment innovation residual obs_Zgrid obs_depth obs_error latitude longitude obs_provenance obs_scale time obs_type obs_value ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .parquet - Download as a parquet file. Metadata contains column names ("column_names") and units ("column_units"). .parquetWMeta - Download as a parquet file with detailed metadata. .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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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";
  }
  ObsImpact_Total {
    String ioos_category "Unknown";
  }
  ObsImpact_IC {
    Float64 actual_range -0.21648934992734636, 0.10021292806312092;
    String ioos_category "Unknown";
    String long_name "observation impact due to initial conditions";
    Float64 missing_value 1.0e+37;
  }
  ObsImpact_FC {
    Float64 actual_range -0.05759638108224122, 0.0221073551209092;
    String ioos_category "Unknown";
    String long_name "observation impact due to surface forcing";
    Float64 missing_value 1.0e+37;
  }
  ObsImpact_BC {
    Float64 actual_range -0.03546222748920419, 0.022253537826530032;
    String ioos_category "Unknown";
    String long_name "observation impact due to open boundary conditions";
    Float64 missing_value 1.0e+37;
  }
  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;
  }
  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 08:23:50 2019: ncwa -a Nouter /home/om/cron/modtoerddap/tmp/temp.nc -O /home/om/cron/modtoerddap/data/erddap_wc13_mod_psas.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
2024-12-28T04:21:01Z (local files)
2024-12-28T04:21:01Z https://tds.marine.rutgers.edu/erddap/tabledap/wc13_mod_psas.html";
    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 "PSAS";
    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 "PSAS 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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