Accessing BCO-DMO data
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BCO-DMO ERDDAP
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| Dataset Title: | [Underway pCO2] - Underway pCO2 from the R/V Pelican cruise GOM_UW_1704 conducted in the Northern Gulf of Mexico in April 2017. (Collaborative Research: pH Dynamics and Interactive Effects of Multiple Processes in a River- Dominated Eutrophic Coastal Ocean) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_770864) |
| Information: | Summary
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| FGDC
| ISO 19115
| Metadata
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Attributes {
s {
Region {
String bcodmo_name "region";
String description "Study area: MisPlume (west), MisPlume (east), AtchCoast or AtchPlume";
String long_name "Region";
String units "unitless";
}
Cruise {
String bcodmo_name "Cruise Name";
String description "Cruise name";
String long_name "Cruise";
String units "unitless";
}
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.491484037e+9, 1.492376079e+9;
String axis "T";
String bcodmo_name "ISO_DateTime_UTC";
String description "Date time in format yyyy-mm-ddTHH:MM:SS (UTC)";
String ioos_category "Time";
String long_name "GPS Date Time UTC";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
String source_name "GPS_DateTime_UTC";
String standard_name "time";
String time_origin "01-JAN-1970 00:00:00";
String time_precision "1970-01-01T00:00:00Z";
String units "seconds since 1970-01-01T00:00:00Z";
}
longitude {
String _CoordinateAxisType "Lon";
Float64 _FillValue NaN;
Float64 actual_range -93.4223, -88.7984;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "Longitude, west is negative";
String ioos_category "Location";
String long_name "Longitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
String standard_name "longitude";
String units "degrees_east";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 27.4902, 29.6455;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "Latitude, south is negative";
String ioos_category "Location";
String long_name "Latitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
String standard_name "latitude";
String units "degrees_north";
}
Temperature {
Float32 _FillValue NaN;
Float32 actual_range 17.2791, 24.9401;
String bcodmo_name "temperature";
String description "Sea surface tempearture, measured with SBE45";
String long_name "Temperature";
String units "degrees Celsius (°C)";
}
Salinity {
Float32 _FillValue NaN;
Float32 actual_range 0.208, 36.4;
String bcodmo_name "sal";
Float64 colorBarMaximum 37.0;
Float64 colorBarMinimum 32.0;
String description "Sea surface salinity, measured with SBE45";
String long_name "Sea Water Practical Salinity";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
String units "PSU";
}
pCO2 {
Float64 _FillValue NaN;
Float64 actual_range 113.9379116, 1802.951313;
String bcodmo_name "pCO2";
String description "pCO2 at SST (+-2 uatm)";
String long_name "P CO2";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
String units "microatmosphere (uatm)";
}
Flag_pCO2 {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 2, 2;
String bcodmo_name "flag";
Float64 colorBarMaximum 150.0;
Float64 colorBarMinimum 0.0;
String description "Flag of pCO2 at SST. A flag indicated as 2 is good, it means the precision is less than +- 2 uatm";
String long_name "Flag P CO2";
String units "unitless";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
String acquisition_description
"Underway sea surface temperature, salinity, and pCO2 data were collected
continuously along the cruise track. Surface seawater was collected from an
intake on the port side of the ship at about 4m depth. SST and SSS were
measured by an SBE45 (Sea-Bird Electronics) Thermosalino graph installed in
the sea chest. Seawater was pumped to the ship's labs. There, underway pCO2
was measured inline by an automated system (Apollo Scitech) with a Li-7000
(LICOR, Inc.) non-dispersive infrared detector at a water flow rate of
3-4L/min; The sampling interval was 2 min. This autonomous system was twice
daily against three certified CO2 gas standards (150.62, 404.72, and 992.54
ppm) obtained from NOAA's Earth System Research Laboratory (ESRL), Global
Monitoring Division in Boulder, CO. These gas standards are directly traceable
to the World Meteorological Organization (WMO) scale. The precision of
underway pCO2 measurements of this system is 0.1 \\u03bcatm, and the overall
accuracy is estimated at 2 \\u03bcatm, as documented by Pierrot et al. (2009).
The underway system uses a shower head type equilibrator with ~0.5L headspace
volume.
Instruments:
Underway pCO2 was measured inline by an automated system (Apollo Scitech)
with a Li-7000 (LICOR, Inc.) non-dispersive infrared detector .
The pCO2 measurement was calibrated twice daily against 3 certified CO2 gas
standards (150.62, 404.72, and 992.54 ppm)";
String awards_0_award_nid "751331";
String awards_0_award_number "OCE-1559279";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1559279";
String awards_0_funder_name "NSF Division of Ocean Sciences";
String awards_0_funding_acronym "NSF OCE";
String awards_0_funding_source_nid "355";
String awards_0_program_manager "Henrietta N Edmonds";
String awards_0_program_manager_nid "51517";
String cdm_data_type "Other";
String comment
"underway pCO2
PI: Wei-Jun Cai
data version: 1 (2019-07-01)";
String Conventions "COARDS, CF-1.6, ACDD-1.3";
String creator_email "info@bco-dmo.org";
String creator_name "BCO-DMO";
String creator_type "institution";
String creator_url "https://www.bco-dmo.org/";
String data_source "extract_data_as_tsv version 2.3 19 Dec 2019";
String date_created "2019-06-18T20:26:55Z";
String date_modified "2019-07-10T20:09:46Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.770864.1";
Float64 Easternmost_Easting -88.7984;
Float64 geospatial_lat_max 29.6455;
Float64 geospatial_lat_min 27.4902;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -88.7984;
Float64 geospatial_lon_min -93.4223;
String geospatial_lon_units "degrees_east";
String history
"2024-12-03T17:20:36Z (local files)
2024-12-03T17:20:36Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_770864.html";
String infoUrl "https://www.bco-dmo.org/dataset/770864";
String institution "BCO-DMO";
String instruments_0_acronym "LI-COR LI-7000";
String instruments_0_dataset_instrument_description "Underway pCO2 was measured inline by an automated system (Apollo Scitech) with a Li-7000 (LICOR, Inc.) non-dispersive infrared detector .";
String instruments_0_dataset_instrument_nid "770878";
String instruments_0_description "The LI-7000 CO2/H2O Gas Analyzer is a high performance, dual cell, differential gas analyzer. It was designed to expand on the capabilities of the LI-6262 CO2/ H2O Gas Analyzer. A dichroic beam splitter at the end of the optical path provides radiation to two separate detectors, one filtered to detect radiation absorption of CO2 and the other to detect absorption by H2O. The two separate detectors measure infrared absorption by CO2 and H2O in the same gas stream. The LI-7000 CO2/ H2O Gas Analyzer is a differential analyzer, in which a known concentration (which can be zero) gas is put in the reference cell, and an unknown gas is put in the sample cell.";
String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/382/";
String instruments_0_instrument_name "LI-COR LI-7000 Gas Analyzer";
String instruments_0_instrument_nid "577";
String instruments_0_supplied_name "a Li-7000 (LICOR, Inc.) non-dispersive infrared detector";
String instruments_1_acronym "pCO2 Sensor";
String instruments_1_dataset_instrument_description "Underway pCO2 was measured inline by an automated system (Apollo Scitech) with a Li-7000 (LICOR, Inc.) non-dispersive infrared detector .";
String instruments_1_dataset_instrument_nid "770877";
String instruments_1_description "A sensor that measures the partial pressure of CO2 in water (pCO2)";
String instruments_1_instrument_name "pCO2 Sensor";
String instruments_1_instrument_nid "676";
String instruments_2_acronym "SBE 45 MicroTSG";
String instruments_2_dataset_instrument_nid "770876";
String instruments_2_description
"A small externally powered, high-accuracy instrument, designed for shipboard determination of sea surface (pumped-water) conductivity and temperature. It is constructed of plastic and titanium to ensure long life with minimum maintenance. It may optionally be interfaced to an external SBE 38 hull temperature sensor.
Sea Bird SBE 45 MicroTSG (Thermosalinograph)";
String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0190/";
String instruments_2_instrument_name "Sea-Bird SBE 45 MicroTSG Thermosalinograph";
String instruments_2_instrument_nid "528063";
String instruments_2_supplied_name "SBE45 (Sea-Bird Electronics) Thermosalino graph";
String keywords "bco, bco-dmo, biological, carbon, carbon dioxide, chemical, co2, cruise, data, dataset, date, density, dioxide, dmo, earth, Earth Science > Oceans > Salinity/Density > Salinity, erddap, flag, Flag_pCO2, global, gps, latitude, longitude, management, ocean, oceanography, oceans, office, pCO2, positioning, practical, preliminary, region, salinity, science, sea, sea_water_practical_salinity, seawater, system, temperature, time, water";
String keywords_vocabulary "GCMD Science Keywords";
String license "https://www.bco-dmo.org/dataset/770864/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/770864";
Float64 Northernmost_Northing 29.6455;
String param_mapping "{'770864': {'Latitude': 'flag - latitude', 'GPS_DateTime_UTC': 'flag - time', 'Longitude': 'flag - longitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/770864/parameters";
String people_0_affiliation "University of Delaware";
String people_0_person_name "Wei-Jun Cai";
String people_0_person_nid "528011";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "Dalhousie University";
String people_1_person_name "Katja Fennel";
String people_1_person_nid "50705";
String people_1_role "Co-Principal Investigator";
String people_1_role_type "originator";
String people_2_affiliation "Louisiana State University";
String people_2_affiliation_acronym "LSU";
String people_2_person_name "Nancy Rabalais";
String people_2_person_nid "751342";
String people_2_role "Co-Principal Investigator";
String people_2_role_type "originator";
String people_3_affiliation "Woods Hole Oceanographic Institution";
String people_3_affiliation_acronym "WHOI BCO-DMO";
String people_3_person_name "Karen Soenen";
String people_3_person_nid "748773";
String people_3_role "BCO-DMO Data Manager";
String people_3_role_type "related";
String project "nGOMx acidification";
String projects_0_acronym "nGOMx acidification";
String projects_0_description
"NSF Award Abstract:
Ocean acidification (OA) refers to the lowering of ocean pH (or increasing acidity) due to uptake of atmospheric carbon dioxide (CO2). A great deal of research has been done to understand how the open ocean is influenced by OA, but coastal systems have received little attention. In the northern Gulf of Mexico (nGOM) shelf region, pH in bottom waters can measure up to 0.45 units less than the pH of the pre-industrial surface ocean, in comparison to the 0.1 overall pH decrease across the entire ocean. Carbonate chemistry in the ocean is greatly influenced by even small changes in pH, so these seemingly minor changes lead to much greater impacts on the biology and chemistry of the ocean. The researchers plan to study coastal OA in the nGOM, a region subject to high inputs of nutrients from the Mississippi River. These inputs of anthropogenic nitrogen mostly derived from fertilizers leads to increased respiration rates which decreases oxygen concentrations in the water column to the point of hypoxia in the summer. This study will inform us how OA in coastal waters subject to eutrophication and hypoxia will impact the chemistry and biology of the region. The researchers are dedicated to outreach programs in the Gulf and east coast regions, interacting with K-12 students and teachers, undergraduate/graduate student training, and various outreach efforts (family workshops on OA, lectures for the public and federal, state, and local representatives). Also, a project website will be created to disseminate the research results to a wider audience.
Increased uptakes of atmospheric carbon dioxide (CO2) by the ocean has led to a 0.1 unit decrease in seawater pH and carbonate mineral saturation state, a process known as Ocean Acidification (OA), which threatens the heath of marine organisms, alters marine ecosystems, and biogeochemical processes. Considerable attention has been focused on understanding the impact of OA on the open ocean but less attention has been given to coastal regions. Recent studies indicate that pH in bottom waters of the northern Gulf of Mexico (nGOM) shelf can be as much as 0.45 units lower relative to pre-industrial values. This occurs because the acidification resulting from increased CO2 inputs (both atmospheric inputs and in-situ respiration) decreases the buffering capacity of seawater. This interactive effect will increase with time, decreasing summertime nGOM bottom-water pH by an estimated 0.85 units and driving carbonate minerals to undersaturation by the end of this century. Researchers from the University of Delaware and the Louisiana Universities Marine Consortium will carry out a combined field, laboratory, and modeling program to address the following questions. (1) What are the physical, chemical, and biological controls on acidification in coastal waters impacted by the large, nutrient-laden Mississippi River?; (2) What is the link between coastal-water acidification, eutrophication, and hypoxia; (3) How do low pH and high CO2 concentrations in bottom waters affect CO2 out-gassing during fall and winter and storm periods when the water column is mixed?; and (4) What are the influences of changing river inputs under anthropogenic forcing on coastal water acidification? Results from this research aim to further our understanding of the processes influencing ocean acidification in coastal waters subject to eutrophication and hypoxia both in the GOM and river-dominated shelf ecosystems globally.";
String projects_0_end_date "2019-04";
String projects_0_geolocation "northern Gulf of Mexico, 27.5 N, 30 N, 88 W, 94 W";
String projects_0_name "Collaborative Research: pH Dynamics and Interactive Effects of Multiple Processes in a River-Dominated Eutrophic Coastal Ocean";
String projects_0_project_nid "751332";
String projects_0_start_date "2016-05";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 27.4902;
String standard_name_vocabulary "CF Standard Name Table v55";
String subsetVariables "Cruise,Flag_pCO2";
String summary "Underway pCO2 from R/V Pelican cruise conducted in the northern Gulf of Mexico (27.5 N, 30 N, 88 W, 94 W) from April 5th to 16th in 2017. The precision of pCO2 is \\u00b12 \\u00b5atm.";
String time_coverage_end "2017-04-16T20:54:39Z";
String time_coverage_start "2017-04-06T13:07:17Z";
String title "[Underway pCO2] - Underway pCO2 from the R/V Pelican cruise GOM_UW_1704 conducted in the Northern Gulf of Mexico in April 2017. (Collaborative Research: pH Dynamics and Interactive Effects of Multiple Processes in a River-Dominated Eutrophic Coastal Ocean)";
String version "1";
Float64 Westernmost_Easting -93.4223;
String xml_source "osprey2erddap.update_xml() v1.3";
}
}
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.
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.