ERDDAP > tabledap > Data Access Form

Dataset Title:	Observations used in Doppio Data Assimilation
Institution:	Rutgers University   (Dataset ID: DOPPIO_REANALYSIS_OBS)
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
obs_type (unity)	!= =~ <= >= = < >		!= =~ <= >= = < >		1 4 5 6 7
obs_provenance	!= =~ <= >= = < >		!= =~ <= >= = < >		300 302 303 304 305 306 307 400 401 402 403 423 424 426 441 442 500 700 701 702 720 721 722 730 741 742 743 744 745 746 747 748 749 750 830
time (time of observation, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2007-01-02T00:00:00Z	2018-12-29T23:45:00Z
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-79.62815957380747	-59.69028308386868
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		32.23944076281737	46.61132781935112
depth (Depth Of Observation, m)	!= =~ <= >= = < >		!= =~ <= >= = < >		-4750.0	0.0
obs_error	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	66.25138246106755
obs_value (observation value)	!= =~ <= >= = < >		!= =~ <= >= = < >		-3.81687749970671	37.138301849365234
merc_value	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.712023420897977	37.344162653755355
hycom_value	!= =~ <= >= = < >		!= =~ <= >= = < >		-6.232983827507015	38.00821439076377
model_value	!= =~ <= >= = < >		!= =~ <= >= = < >		-15.632572208289098	50.93191463950622
BgError_value	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	4.169431588449581
increment	!= =~ <= >= = < >		!= =~ <= >= = < >		-40.37010987049661	25.18443620919106
innovation	!= =~ <= >= = < >		!= =~ <= >= = < >		-14.667578519090416	16.548175415479587
residual	!= =~ <= >= = < >		!= =~ <= >= = < >		-23.6191056766139	40.623219872206235

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" obs_type obs_provenance time longitude latitude depth obs_error obs_value merc_value hycom_value model_value BgError_value increment innovation residual obs_type obs_provenance time longitude latitude depth obs_error obs_value merc_value hycom_value model_value BgError_value increment innovation residual obs_type obs_provenance time longitude latitude depth obs_error obs_value merc_value hycom_value model_value BgError_value increment innovation residual obs_type obs_provenance time longitude latitude depth obs_error obs_value merc_value hycom_value model_value BgError_value increment innovation residual obs_type obs_provenance time longitude latitude depth obs_error obs_value merc_value hycom_value model_value BgError_value increment innovation residual ")

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). .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 {
  obs_type {
    Int32 actual_range 1, 7;
    String ioos_category "Location";
    String long_name "model state variable associated with observation";
    String option_01 "free-surface";
    String option_02 "vertically integrated u-momentum component";
    String option_03 "vertically integrated v-momentum component";
    String option_04 "u-momentum component";
    String option_05 "v-momentum component";
    String option_06 "potential temperature";
    String option_07 "salinity";
    String units "unity";
  }
  obs_provenance {
    Int32 actual_range 300, 830;
    Int32 ALTIKA_SSH 426;
    Int32 Altimeter_superobs 400;
    Int32 AMSR_microwave_SST 306;
    Int32 AVHRR_IR_SST 302;
    Int32 CODAR_velocities 500;
    Int32 Cryosat_SSH 424;
    Int32 ECOMON_CTD 730;
    Int32 Envisat_SSH 423;
    Int32 GOES_geostationary_IR_SST 303;
    Float64 Insitu_No_Pioneer_super_observations 700.0;
    String ioos_category "Unknown";
    Int32 IOOS_gliders 702;
    Int32 Jason_1_SSH 401;
    Int32 Jason_2_SSH 402;
    Int32 Jason_3_SSH 403;
    String long_name "Obs Provenance";
    Int32 MetOffice_Argo 722;
    Int32 MetOffice_Bouys 723;
    Int32 MetOffice_CTD_XCTD_TESAC 721;
    Int32 MetOffice_XBT 720;
    Int32 NERACOOS_CTD 740;
    Int32 OSMC_GTS_floats 713;
    Int32 OSMC_GTS_gliders 711;
    Int32 OSMC_GTS_moored_bouys 716;
    Int32 OSMC_GTS_other 710;
    Int32 OSMC_GTS_ships_generic 717;
    Int32 OSMC_GTS_VOShips 714;
    Int32 Pioneer_Array_CP01CNSM 601;
    Int32 Pioneer_Array_CP01CNSP 602;
    Int32 Pioneer_Array_CP02PMCI 603;
    Int32 Pioneer_Array_CP02PMCO 606;
    Int32 Pioneer_Array_CP02PMUI 605;
    Int32 Pioneer_Array_CP02PMUO 610;
    Int32 Pioneer_Array_CP03ISSM 607;
    Int32 Pioneer_Array_CP03ISSP 608;
    Int32 Pioneer_Array_CP04OSPM 609;
    Int32 Pioneer_Array_CP04OSSM 611;
    Int32 Pioneer_Array_GL003 641;
    Int32 Pioneer_Array_GL335 642;
    Int32 Pioneer_Array_GL336 643;
    Int32 Pioneer_Array_GL339 644;
    Int32 Pioneer_Array_GL340 645;
    Int32 Pioneer_Array_GL374 646;
    Int32 Pioneer_Array_GL376 647;
    Int32 Pioneer_Array_GL379 648;
    Int32 Pioneer_Array_GL380 649;
    Int32 Pioneer_Array_GL387 650;
    Int32 Pioneer_Array_GL388 651;
    Int32 Pioneer_Array_GL389 652;
    Int32 Pioneer_Array_GL390 653;
    Int32 Pioneer_Array_PG564 654;
    Int32 RU_MARACOOS_gliders 701;
    Int32 Sentinel_3a_SSH 441;
    Int32 SST_super_observations 300;
    Int32 TRMM_microwave_SST 304;
    Int32 WSAT_microwave_SST 305;
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.167696e+9, 1.5461271e+9;
    String axis "T";
    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";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -79.62815957380747, -59.69028308386868;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "longitude of observation";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 32.23944076281737, 46.61132781935112;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "latitude of observation";
    String standard_name "latitude";
    String units "degrees_north";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 actual_range -4750.0, 0.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth Of Observation";
    Float64 missing_value 1.0e+37;
    String negative_value "downwards";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  obs_error {
    Float64 actual_range 0.0, 66.25138246106755;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "observation error, assigned weight";
  }
  obs_value {
    Float64 actual_range -3.81687749970671, 37.138301849365234;
    String ioos_category "Unknown";
    String long_name "observation value";
  }
  merc_value {
    Float64 actual_range -1.712023420897977, 37.344162653755355;
    String ioos_category "Unknown";
    String long_name "Mercator Model interpolated value";
  }
  hycom_value {
    Float64 actual_range -6.232983827507015, 38.00821439076377;
    String ioos_category "Unknown";
    String long_name "Hycom Model interpolated value";
  }
  model_value {
    Float64 _FillValue 1.0e+37;
    Float64 actual_range -15.632572208289098, 50.93191463950622;
    String cell_methods "Nouter: mean";
    String ioos_category "Unknown";
    String long_name "nonlinear model at observation locations";
  }
  BgError_value {
    Float64 _FillValue 1.0e+37;
    Float64 actual_range 0.0, 4.169431588449581;
    String ioos_category "Unknown";
    String long_name "Background error at observation locations";
  }
  increment {
    Float64 actual_range -40.37010987049661, 25.18443620919106;
    String ioos_category "Unknown";
    String long_name "analysis (posterior) minus background (prior)";
    Float64 missing_value 1.0e+37;
  }
  innovation {
    Float64 actual_range -14.667578519090416, 16.548175415479587;
    String ioos_category "Unknown";
    String long_name "observation minus background (prior)";
    Float64 missing_value 1.0e+37;
  }
  residual {
    Float64 actual_range -23.6191056766139, 40.623219872206235;
    String ioos_category "Unknown";
    String long_name "observation minus analysis (posterior)";
    Float64 missing_value 1.0e+37;
  }
 }
  NC_GLOBAL {
    String Algorithm "W4DPSAS";
    String cdm_data_type "Point";
    String code_dir "/p/julia/ROMS/doppio/svn898t";
    String compiler_command "/usr/mpi/pgi/openmpi-1.4.3-qlc/bin/mpif90";
    String compiler_flags " -Kieee -O3 -Mfree";
    String compiler_system "pgi";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting -59.69028308386868;
    String featureType "Point";
    Float64 geospatial_lat_max 46.61132781935112;
    Float64 geospatial_lat_min 32.23944076281737;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -59.69028308386868;
    Float64 geospatial_lon_min -79.62815957380747;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 0.0;
    Float64 geospatial_vertical_min -4750.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String header_dir "/p/julia/ROMS/doppio/Compile/psas";
    String header_file "doppio.h";
    String history 
"Wed Jun 19 06:53:12 2019: ncwa -a Nouter /home/om/cron/erddap_doppio_v2/tmp/temp.nc -O /home/om/cron/erddap_doppio_v2/data/temp_0483.nc
Wed Jun 19 06:53:09 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/julia/ROMS/doppio/Run/psas/run18/mod/doppio_mod_0483.nc -O /home/om/cron/erddap_doppio_v2/tmp/temp.nc
ROMS/TOMS, Version 3.7, Saturday - May 5, 2018 -  8:18:53 PM
2024-11-21T22:45:15Z (local files)
2024-11-21T22:45:15Z https://tds.marine.rutgers.edu/erddap/tabledap/DOPPIO_REANALYSIS_OBS.html";
    String infoUrl "https://www.myroms.org/";
    String institution "Rutgers University";
    String keywords "assigned, associated, background, BgError_value, BgThresh_value, check, control, data, datum, depth, error, final, grid, initial, latitude, linear, local, locations, longitude, misfit, misfit_final, misfit_initial, model, model-observation, NLmodel_initial, nonlinear, normalization, obs, obs_depth, obs_error, obs_lat, obs_lon, obs_provenance, obs_scale, obs_time, obs_type, obs_value, obs_Xgrid, obs_Ygrid, obs_Zgrid, observation, observations, provenance, quality, scale, screening, screening/normalization, source, state, statistics, tangent, threshold, time, TLmodel_value, value, variable, weight, with, x-grid, y-grid, 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 46.61132781935112;
    String obs_file "ssh_sst_codar_glider_ctd_argo_0483.nc";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 32.23944076281737;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String subsetVariables "obs_type,obs_provenance";
    String summary "Observations used in Doppio Data Assimilation";
    String svn_rev "898";
    String svn_url "https://www.myroms.org/svn/src/trunk";
    String time_coverage_end "2018-12-29T23:45:00Z";
    String time_coverage_start "2007-01-02T00:00:00Z";
    String title "Observations used in Doppio Data Assimilation";
    String type "ROMS/TOMS 4DVAR output observation processing file";
    Float64 Westernmost_Easting -79.62815957380747;
  }
}

 

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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.
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For example,
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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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