ERDDAP > tabledap > Data Access Form

Dataset Title:	Observations and model output from DOPPIO REALTIME 4DVAR System.
Institution:	Rutgers University   (Dataset ID: DOPPIO_REALTIME_MOD)
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)	!= =~ <= >= = < >		!= =~ <= >= = < >		0 1 4 5 6 7
obs_provenance	!= =~ <= >= = < >		!= =~ <= >= = < >		0 203 300 302 303 305 306 307 400 402 403 404 424 426 441 442 500 700 702 710 711 713 714 717 730 734 741 742 743 744 745 746 747 748 830 1741 1742 1744 1746 1747
time (time of observation, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2006-01-01T00:00:00Z	2024-12-26T00:00:00Z
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-80.24546157578857	0.0
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	47.125
depth (Depth Of Observation, m)	!= =~ <= >= = < >		!= =~ <= >= = < >		-3250.0	0.0
obs_error (squared state variable units)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	25.879446273854512
obs_scale	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
obs_value (state variable units)	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.5688823728486697E11	5.69977153534163E18
model_value (state variable units)	!= =~ <= >= = < >		!= =~ <= >= = < >		-3.6604687175887456	47.566582714432535
BgError_value (state variable units)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	4.19504435964123
increment (state variable units)	!= =~ <= >= = < >		!= =~ <= >= = < >		-21.543115308187495	21.91827639236923
innovation (state variable units)	!= =~ <= >= = < >		!= =~ <= >= = < >		-13.329068798542519	37.02960205078125
residual (state variable units)	!= =~ <= >= = < >		!= =~ <= >= = < >		-19.93720481866693	37.02960205078125
dJ_csVflxPioneer_outer1	!= =~ <= >= = < >		!= =~ <= >= = < >		-7.788647061171653E-4	5.31664267167546E-4
dJ_csVflxPioneer_fcst	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.01289201612447191	0.0032871329937090286
merc_value	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.7679973343797641	37.58853009204426
hycom_value	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.7116045968724587	38.96939107416214

 

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_scale obs_value model_value BgError_value increment innovation residual dJ_csVflxPioneer_outer1 dJ_csVflxPioneer_fcst merc_value hycom_value obs_type obs_provenance time longitude latitude depth obs_error obs_scale obs_value model_value BgError_value increment innovation residual dJ_csVflxPioneer_outer1 dJ_csVflxPioneer_fcst merc_value hycom_value obs_type obs_provenance time longitude latitude depth obs_error obs_scale obs_value model_value BgError_value increment innovation residual dJ_csVflxPioneer_outer1 dJ_csVflxPioneer_fcst merc_value hycom_value obs_type obs_provenance time longitude latitude depth obs_error obs_scale obs_value model_value BgError_value increment innovation residual dJ_csVflxPioneer_outer1 dJ_csVflxPioneer_fcst merc_value hycom_value obs_type obs_provenance time longitude latitude depth obs_error obs_scale obs_value model_value BgError_value increment innovation residual dJ_csVflxPioneer_outer1 dJ_csVflxPioneer_fcst merc_value hycom_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).

(Documentation / Bypass this form )
 
Submit (Please be patient. It may take a while to get the data.)

 

---

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  obs_type {
    Int32 actual_range 0, 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 0, 1747;
    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 Sentinel_3b_SSH 442;
    Int32 SST_super_observations 300;
    Int32 TRMM_microwave_SST 304;
    Int32 VIIRS_IR_SST 307;
    Int32 WSAT_microwave_SST 305;
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.1360736e+9, 1.7351712e+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 -80.24546157578857, 0.0;
    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 0.0, 47.125;
    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 -3250.0, 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, 25.879446273854512;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "observation error, assigned weight";
    String units "squared state variable units";
  }
  obs_scale {
    Int32 actual_range 0, 1;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "observation screening/normalization scale";
  }
  obs_value {
    Float64 actual_range -1.5688823728486697e+11, 5.69977153534163e+18;
    String ioos_category "Unknown";
    String long_name "observation value";
    String units "state variable units";
  }
  model_value {
    Float64 actual_range -3.6604687175887456, 47.566582714432535;
    String cell_methods "Nouter: mean";
    String ioos_category "Unknown";
    String long_name "nonlinear model at observation locations per outer-loop";
    String units "state variable units";
  }
  BgError_value {
    Float64 actual_range 0.0, 4.19504435964123;
    String ioos_category "Unknown";
    String long_name "Background error standard deviation at observation locations";
    String units "state variable units";
  }
  increment {
    Float64 actual_range -21.543115308187495, 21.91827639236923;
    String ioos_category "Unknown";
    String long_name "analysis (posterior) minus background (prior)";
    Float64 missing_value 1.0e+37;
    String units "state variable units";
  }
  innovation {
    Float64 actual_range -13.329068798542519, 37.02960205078125;
    String ioos_category "Unknown";
    String long_name "observation minus background (prior)";
    Float64 missing_value 1.0e+37;
    String units "state variable units";
  }
  residual {
    Float64 actual_range -19.93720481866693, 37.02960205078125;
    String ioos_category "Unknown";
    String long_name "observation minus analysis (posterior)";
    Float64 missing_value 1.0e+37;
    String units "state variable units";
  }
  dJ_csVflxPioneer_outer1 {
    Float64 actual_range -7.788647061171653e-4, 5.31664267167546e-4;
    String ioos_category "Unknown";
    String long_name "Observation Impact ";
    Float64 missing_value 1.0e+37;
  }
  dJ_csVflxPioneer_fcst {
    Float64 actual_range -0.01289201612447191, 0.0032871329937090286;
    String ioos_category "Unknown";
    String long_name "Forecast Impact ";
    Float64 missing_value 1.0e+37;
  }
  merc_value {
    Float64 actual_range -1.7679973343797641, 37.58853009204426;
    String ioos_category "Unknown";
    String long_name "Mercator Model interpolated value";
  }
  hycom_value {
    Float64 actual_range -1.7116045968724587, 38.96939107416214;
    String ioos_category "Unknown";
    String long_name "Hycom Model interpolated value";
  }
 }
  NC_GLOBAL {
    String Algorithm "RBL4DVAR";
    String cdm_data_type "Point";
    String code_dir "/home/julia/ROMS/doppio/svn1040t";
    String comment "Realtime system switched from DOPPIO Version 1 to DOPPIO Version 2 at file /home/om/cron/erddap_doppio_realtime_mod_v2/data/temp_5313.nc(2020/07/20)";
    String compiler_command "/opt/sw/apps/intel-2021_8/openmpi/4.1.5/bin/mpif90";
    String compiler_flags "-fp-model precise -heap-arrays -ip -O3 -traceback -check uninit";
    String compiler_system "ifort";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting 0.0;
    String featureType "Point";
    Float64 geospatial_lat_max 47.125;
    Float64 geospatial_lat_min 0.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 0.0;
    Float64 geospatial_lon_min -80.24546157578857;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 0.0;
    Float64 geospatial_vertical_min -3250.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String header_dir "/home/julia/ROMS/doppio/Compile/psas";
    String header_file "doppio.h";
    String history 
"Fri Dec 27 09:15:11 2024: ncwa -a Nouter /home/om/cron/erddap_doppio_realtime_mod_v2/tmp/temp.nc -O /home/om/cron/erddap_doppio_realtime_mod_v2/data/temp_6932.nc
Fri Dec 27 09:15:11 2024: ncks -d datum,61213,108148 /home/om/cron/erddap_doppio_realtime_mod_v2/tmp/temp.nc -O /home/om/cron/erddap_doppio_realtime_mod_v2/tmp/temp.nc
Fri Dec 27 09:15:09 2024: ncatted -O -a _FillValue,increment,d,f,0.0 /home/om/cron/erddap_doppio_realtime_mod_v2/tmp/temp.nc
Fri Dec 27 09:15:09 2024: ncatted -O -a _FillValue,residual,d,f,0.0 /home/om/cron/erddap_doppio_realtime_mod_v2/tmp/temp.nc
Fri Dec 27 09:15:09 2024: ncatted -O -a _FillValue,innovation,d,f,0.0 /home/om/cron/erddap_doppio_realtime_mod_v2/tmp/temp.nc
Fri Dec 27 09:15:09 2024: ncatted -O -a _FillValue,obs_error,d,f,0.0 /home/om/cron/erddap_doppio_realtime_mod_v2/tmp/temp.nc
Fri Dec 27 09:15:09 2024: ncatted -O -a _FillValue,BgError_value,d,f,0.0 /home/om/cron/erddap_doppio_realtime_mod_v2/tmp/temp.nc
Fri Dec 27 09:15:09 2024: ncatted -O -a _FillValue,NLmodel_initial,d,f,0.0 /home/om/cron/erddap_doppio_realtime_mod_v2/tmp/temp.nc
Fri Dec 27 09:15:09 2024: ncatted -O -a _FillValue,NLmodel_value,d,f,0.0 /home/om/cron/erddap_doppio_realtime_mod_v2/tmp/temp.nc
Fri Dec 27 09:15:09 2024: ncatted -O -a _FillValue,obs_scale,d,f,0.0 /home/om/cron/erddap_doppio_realtime_mod_v2/tmp/temp.nc
Fri Dec 27 09:15:08 2024: 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,innovation,residual,increment -d Nouter,-1 /home/julia/ROMS/doppio/RealTime/Storage/run03/mod/doppio_mod_6932.nc -O /home/om/cron/erddap_doppio_realtime_mod_v2/tmp/temp.nc
ROMS/TOMS, Version 3.9, Friday - December 27, 2024 -  3:30:30 AM
2024-12-28T05:09:21Z (local files)
2024-12-28T05:09:21Z https://tds.marine.rutgers.edu/erddap/tabledap/DOPPIO_REALTIME_MOD.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 5.0.7 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 47.125;
    String obs_file "ssh_sst_codar_glider_ctd_argo_6932.nc";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 0.0;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String subsetVariables "obs_type,obs_provenance";
    String summary "*mod* file output from the DOPPIO Realtime 4DVAR system";
    String svn_rev "1040";
    String svn_url "https://www.myroms.org/svn/src/trunk";
    String time_coverage_end "2024-12-26T00:00:00Z";
    String time_coverage_start "2006-01-01T00:00:00Z";
    String title "Observations and model output from DOPPIO REALTIME 4DVAR System.";
    String type "ROMS/TOMS 4D-Var output observation processing file";
    Float64 Westernmost_Easting -80.24546157578857;
  }
}

 

---

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 2.25_1
Disclaimers | Privacy Policy | Contact