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Dataset Title:	[Water Mass Fractions - Ages] - Mean ventilation age reported for 7 regions of the Atlantic based on samples collected from R/V Knorr cruises KN199-04 and KN204-01 during 2010-2011 (U.S. GEOTRACES North Atlantic Transect)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_810885)
Range:	longitude = -69.827 to -9.662°E, latitude = 17.351 to 39.701°N, depth = 4.770346 to 5840.6987m
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form \| Files
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  LBIR_Age {
    Float64 _FillValue NaN;
    Float64 actual_range 3.86249e-23, 1072.245098;
    String bcodmo_name "age";
    String description "regional mean ventilation age for the LBIR region; LBIR = Labrador and Irminger Seas";
    String long_name "LBIR Age";
    String units "years";
  }
  LBIR_Age_Uncert {
    Float64 _FillValue NaN;
    Float64 actual_range 3.4627e-9, 624.4287248;
    String bcodmo_name "age";
    String description "ensemble standard deviation of LBIR_Age";
    String long_name "LBIR Age Uncert";
    String units "years";
  }
  AONG_Age {
    Float64 _FillValue NaN;
    Float64 actual_range 9.51858e-23, 1344.203641;
    String bcodmo_name "age";
    String description "regional mean ventilation age for the AONG region; AONG = Arctic Ocean, Greenland, and Norwegian Seas";
    String long_name "AONG Age";
    String units "years";
  }
  AONG_Age_Uncert {
    Float64 _FillValue NaN;
    Float64 actual_range 2.59304e-8, 539.2344512;
    String bcodmo_name "age";
    String description "ensemble standard deviation of AONG_Age";
    String long_name "AONG Age Uncert";
    String units "years";
  }
  SPNA_Age {
    Float64 _FillValue NaN;
    Float64 actual_range 1.60181e-7, 866.0724071;
    String bcodmo_name "age";
    String description "regional mean ventilation age for the SPNA region; SPNA = SubPolar North Atlantic";
    String long_name "SPNA Age";
    String units "years";
  }
  SPNA_Age_Uncert {
    Float64 _FillValue NaN;
    Float64 actual_range 5.81386e-6, 577.7836576;
    String bcodmo_name "age";
    String description "ensemble standard deviation of SPNA_Age";
    String long_name "SPNA Age Uncert";
    String units "years";
  }
  STNA_Age {
    Float64 _FillValue NaN;
    Float64 actual_range 0.383391679, 341.1290062;
    String bcodmo_name "age";
    String description "regional mean ventilation age for the STNA region; STNA = SubTropical North Atlantic";
    String long_name "STNA Age";
    String units "years";
  }
  STNA_Age_Uncert {
    Float64 _FillValue NaN;
    Float64 actual_range 1.06322e-9, 68.62459246;
    String bcodmo_name "age";
    String description "ensemble standard deviation of STNA_Age";
    String long_name "STNA Age Uncert";
    String units "years";
  }
  MED_Age {
    Float64 _FillValue NaN;
    Float64 actual_range 1.93367e-36, 912.6727679;
    String bcodmo_name "age";
    String description "regional mean ventilation age for the MED region; MED = Mediterranean Sea";
    String long_name "MED Age";
    String units "years";
  }
  MED_Age_Uncert {
    Float64 _FillValue NaN;
    Float64 actual_range 1.20142e-33, 763.2776522;
    String bcodmo_name "age";
    String description "ensemble standard deviation of MED_Age";
    String long_name "MED Age Uncert";
    String units "years";
  }
  NAAD_Age {
    Float64 _FillValue NaN;
    Float64 actual_range 6.0691e-16, 683.4949106;
    String bcodmo_name "age";
    String description "regional mean ventilation age for the NAAD region; NAAD = North of the Antarctic Divergence";
    String long_name "NAAD Age";
    String units "years";
  }
  NAAD_Age_Uncert {
    Float64 _FillValue NaN;
    Float64 actual_range 2.96806e-12, 636.2713806;
    String bcodmo_name "age";
    String description "ensemble standard deviation of NAAD_Age";
    String long_name "NAAD Age Uncert";
    String units "years";
  }
  SAAD_Age {
    Float64 _FillValue NaN;
    Float64 actual_range 2.95079e-15, 758.8065161;
    String bcodmo_name "age";
    String description "regional mean ventilation age for the SAAD region; SAAD = South of the Antarctic Divergence";
    String long_name "SAAD Age";
    String units "years";
  }
  SAAD_Age_Uncert {
    Float64 _FillValue NaN;
    Float64 actual_range 1.30307e-6, 575.9894934;
    String bcodmo_name "age";
    String description "ensemble standard deviation of SAAD_Age";
    String long_name "SAAD Age Uncert";
    String units "years";
  }
  OTHER_Age {
    Float64 _FillValue NaN;
    String bcodmo_name "age";
    String description "regional mean ventilation age for OTHER is not reported because OTHER is the rest of the global sea surface not included in the 7 Atlantic regions";
    String long_name "OTHER Age";
    String units "years";
  }
  OTHER_Age_Uncert {
    Float64 _FillValue NaN;
    String bcodmo_name "age";
    String description "ensemble standard deviation of OTHER_Age (not reported)";
    String long_name "OTHER Age Uncert";
    String units "years";
  }
  Ideal_Mean_Age {
    Float64 _FillValue NaN;
    Float64 actual_range 0.348736675, 371.0965039;
    String bcodmo_name "age";
    String description "estimate of the ideal mean age (regardless of last ventilation location) at each of the 668 bottle locations";
    String long_name "Ideal Mean Age";
    String units "years";
  }
  Ideal_Mean_Age_Uncert {
    Float64 _FillValue NaN;
    Float64 actual_range 6.2999e-5, 157.3320852;
    String bcodmo_name "age";
    String description "ensemble standard deviation of the Ideal_Mean_Age";
    String long_name "Ideal Mean Age Uncert";
    String units "years";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 4.770346113, 5840.698619;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Bottle sample depth";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 17.351, 39.701;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Bottle sample latitude";
    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";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -69.827, -9.662;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Bottle sample longitude";
    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";
  }
  Distance_East {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 9046.974929;
    String bcodmo_name "unknown";
    String description "The distance in kilometers along the combined cruise tracks of the KN199-04 and KN204-01 from the easternmost station (KN204-01 station 1).";
    String long_name "Distance East";
    String units "kilometers (km)";
  }
  Cruise_ID {
    String bcodmo_name "cruise_id";
    String description "Cruise identifier";
    String long_name "Cruise ID";
    String units "unitless";
  }
  Station_No {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 24;
    String bcodmo_name "station";
    String description "Station number";
    String long_name "Station No";
    String units "unitless";
  }
  Cast_No {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 11;
    String bcodmo_name "cast";
    String description "Cast number";
    String long_name "Cast No";
    String units "unitless";
  }
  Sample_Bottle {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 24;
    String bcodmo_name "bottle";
    String description "Bottle number";
    String long_name "Sample Bottle";
    String units "unitless";
  }
  Date {
    Int32 _FillValue 2147483647;
    Int32 actual_range 20101016, 20111210;
    String bcodmo_name "date";
    String description "Sampling date; format: yyyymmdd";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"A maximum-entropy inversion technique was applied to CFC and SF6 measurements
made on the U.S. GEOTRACES North Atlantic Transect, and radiocarbon
concentrations interpolated to sample locations along the transact from
gridded data reported in the GLODAP data compilation, to determine mean ages
and source water compositions of each water sample. Details are described in
Holzer et al. (2018).
 
See the attached README file (GA03_transit-time_partitioned_water-
mass_fractions_v2_README.pdf) for more information on methods and a\\u00a0map
of region locations.";
    String awards_0_award_nid "55011";
    String awards_0_award_number "OCE-0928612";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0928612";
    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 "Donald L. Rice";
    String awards_0_program_manager_nid "51467";
    String awards_1_award_nid "810648";
    String awards_1_award_number "OCE-1132545";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1132545";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "Donald L. Rice";
    String awards_1_program_manager_nid "51467";
    String awards_2_award_nid "810653";
    String awards_2_award_number "OCE-1332834";
    String awards_2_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1332834";
    String awards_2_funder_name "NSF Division of Ocean Sciences";
    String awards_2_funding_acronym "NSF OCE";
    String awards_2_funding_source_nid "355";
    String awards_2_program_manager "Dr Baris M. Uz";
    String awards_2_program_manager_nid "713922";
    String cdm_data_type "Other";
    String comment 
"Water Mass Fractions - regional mean ventilation ages 
  PI: William M. Smethie Jr. (LDEO) 
  Co-PIs: Mark Holzer & Yu-Heng Ting (UNSW) 
  Version date: 07-May-2020";
    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 dataset_current_state "Final and no updates";
    String date_created "2020-05-07T20:07:48Z";
    String date_modified "2020-05-27T17:07:26Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.810885.1";
    Float64 Easternmost_Easting -9.662;
    Float64 geospatial_lat_max 39.701;
    Float64 geospatial_lat_min 17.351;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -9.662;
    Float64 geospatial_lon_min -69.827;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 5840.698619;
    Float64 geospatial_vertical_min 4.770346113;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-19T12:37:54Z (local files)
2024-11-19T12:37:54Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_810885.das";
    String infoUrl "https://www.bco-dmo.org/dataset/810885";
    String institution "BCO-DMO";
    String keywords "age, aong, AONG_Age, AONG_Age_Uncert, bco, bco-dmo, biological, bottle, cast, Cast_No, chemical, cruise, Cruise_ID, data, dataset, date, depth, distance, Distance_East, dmo, east, erddap, ideal, Ideal_Mean_Age, Ideal_Mean_Age_Uncert, latitude, lbir, LBIR_Age, LBIR_Age_Uncert, longitude, management, mean, med, MED_Age, MED_Age_Uncert, naad, NAAD_Age, NAAD_Age_Uncert, oceanography, office, OTHER_Age, OTHER_Age_Uncert, preliminary, saad, SAAD_Age, SAAD_Age_Uncert, sample, Sample_Bottle, spna, SPNA_Age, SPNA_Age_Uncert, station, Station_No, stna, STNA_Age, STNA_Age_Uncert, uncert";
    String license "https://www.bco-dmo.org/dataset/810885/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/810885";
    Float64 Northernmost_Northing 39.701;
    String param_mapping "{'810885': {'Latitude': 'flag - latitude', 'Depth': 'flag - depth', 'Longitude': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/810885/parameters";
    String people_0_affiliation "Lamont-Doherty Earth Observatory";
    String people_0_affiliation_acronym "LDEO";
    String people_0_person_name "William M. Smethie Jr.";
    String people_0_person_nid "51554";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of New South Wales";
    String people_1_affiliation_acronym "UNSW";
    String people_1_person_name "Mark Holzer";
    String people_1_person_nid "810670";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of New South Wales";
    String people_2_affiliation_acronym "UNSW";
    String people_2_person_name "Yu-Heng Ting";
    String people_2_person_nid "810671";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "University of New South Wales";
    String people_3_affiliation_acronym "UNSW";
    String people_3_person_name "Mark Holzer";
    String people_3_person_nid "810670";
    String people_3_role "Contact";
    String people_3_role_type "related";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI BCO-DMO";
    String people_4_person_name "Shannon Rauch";
    String people_4_person_nid "51498";
    String people_4_role "BCO-DMO Data Manager";
    String people_4_role_type "related";
    String project "U.S. GEOTRACES NAT,GT NAT CFC and SF6,GT NAT RAPID CFC SF6,DWBC Obs Line W";
    String projects_0_acronym "U.S. GEOTRACES NAT";
    String projects_0_description 
"Much of this text appeared in an article published in OCB News, October 2008, by the OCB Project Office.
The first U.S. GEOTRACES Atlantic Section will be specifically centered around a sampling cruise to be carried out in the North Atlantic in 2010. Ed Boyle (MIT) and Bill Jenkins (WHOI) organized a three-day planning workshop that was held September 22-24, 2008 at the Woods Hole Oceanographic Institution. The main goal of the workshop, sponsored by the National Science Foundation and the U.S. GEOTRACES Scientific Steering Committee, was to design the implementation plan for the first U.S. GEOTRACES Atlantic Section. The primary cruise design motivation was to improve knowledge of the sources, sinks and internal cycling of Trace Elements and their Isotopes (TEIs) by studying their distributions along a section in the North Atlantic (Figure 1). The North Atlantic has the full suite of processes that affect TEIs, including strong meridional advection, boundary scavenging and source effects, aeolian deposition, and the salty Mediterranean Outflow. The North Atlantic is particularly important as it lies at the \"origin\" of the global Meridional Overturning Circulation.
It is well understood that many trace metals play important roles in biogeochemical processes and the carbon cycle, yet very little is known about their large-scale distributions and the regional scale processes that affect them. Recent advances in sampling and analytical techniques, along with advances in our understanding of their roles in enzymatic and catalytic processes in the open ocean provide a natural opportunity to make substantial advances in our understanding of these important elements. Moreover, we are motivated by the prospect of global change and the need to understand the present and future workings of the ocean's biogeochemistry. The GEOTRACES strategy is to measure a broad suite of TEIs to constrain the critical biogeochemical processes that influence their distributions. In addition to these \"exotic\" substances, more traditional properties, including macronutrients (at micromolar and nanomolar levels), CTD, bio-optical parameters, and carbon system characteristics will be measured. The cruise starts at Line W, a repeat hydrographic section southeast of Cape Cod, extends to Bermuda and subsequently through the North Atlantic oligotrophic subtropical gyre, then transects into the African coast in the northern limb of the coastal upwelling region. From there, the cruise goes northward into the Mediterranean outflow. The station locations shown on the map are for the \"fulldepth TEI\" stations, and constitute approximately half of the stations to be ultimately occupied.
Figure 1. The proposed 2010 Atlantic GEOTRACES cruise track plotted on dissolved oxygen at 400 m depth. Data from the World Ocean Atlas (Levitus et al., 2005) were plotted using Ocean Data View (courtesy Reiner Schlitzer). [click on the image to view a larger version]
Hydrography, CTD and nutrient measurements will be supported by the Ocean Data Facility (J. Swift) at Scripps Institution of Oceanography and funded through NSF Facilities. They will be providing an additional CTD rosette system along with nephelometer and LADCP. A trace metal clean Go-Flo Rosette and winch will be provided by the group at Old Dominion University (G. Cutter) along with a towed underway pumping system.
The North Atlantic Transect cruise began in 2010 with KN199 leg 4 (station sampling) and leg 5 (underway sampling only) (Figure 2).
KN199-04 Cruise Report (PDF)
Figure 2. The red line shows the cruise track for the first leg of the US Geotraces North Atlantic Transect on the R/V Knorr in October 2010.  The rest of the stations (beginning with 13) will be completed in October-December 2011 on the R/V Knorr (courtesy of Bill Jenkins, Chief Scientist, GNAT first leg). [click on the image to view a larger version]
The section completion effort resumed again in November 2011 with KN204-01A,B (Figure 3).
KN204-01A,B Cruise Report (PDF)
Figure 3. Station locations occupied on the US Geotraces North Atlantic Transect on the R/V Knorr in November 2011.  [click on the image to view a larger version]
Data from the North Atlantic Transect cruises are available under the Datasets heading below, and consensus values for the SAFe and North Atlantic GEOTRACES Reference Seawater Samples are available from the GEOTRACES Program Office: Standards and Reference Materials
ADCP data are available from the Currents ADCP group at the University of Hawaii at the links below:KN199-04   (leg 1 of 2010 cruise; Lisbon to Cape Verde)KN199-05   (leg 2 of 2010 cruise; Cape Verde to Charleston, NC)KN204-01A (part 1 of 2011 cruise; Woods Hole, MA to Bermuda)KN204-01B (part 2 of 2011 cruise; Bermuda to Cape Verde)";
    String projects_0_end_date "2013-08";
    String projects_0_geolocation "Subtropical western and eastern North Atlantic Ocean";
    String projects_0_name "U.S. GEOTRACES North Atlantic Transect";
    String projects_0_project_nid "2066";
    String projects_0_project_website "https://www.geotraces.org/";
    String projects_0_start_date "2010-10";
    String projects_1_acronym "GT NAT CFC and SF6";
    String projects_1_description 
"NSF Award Abstract:
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The objectives of the GEOTRACES program are: 1) to determine the global distributions of selected trace elements and isotopes and evaluate the sources, sinks and internal cycling of these species to better understand the physical, chemical and biological processes regulating their distributions, 2) to develop an understanding of the processes involved in oceanic trace element cycles sufficiently well that the response of these cycles to global change can be predicted and their impact on the carbon cycle and climate understood, and 3) to understand the processes that control the concentrations of geochemical species used for proxies of the past environment, both in the water column and in the substrates that reflect the water column.
Understanding how the physical processes of advection, mixing, and water mass formation affect the distributions of trace elements and isotopes is critical to meeting these objectives. The evolving CFC and SF6 distributions in the ocean provide strong constraints on these processes. CFCs have been measured extensively in the global ocean for the past two and a half decades as part of several large scale oceanographic programs (e.g. SAVE, WOCE, CLIVAR) as well as many smaller programs and SF6 has become a standard measurement on the CLIVAR cruises. Measurement of CFCs and SF6 on the GEOTRACES program places the GEOTRACES data in the context of large scale ventilation patterns established by CFC/SF6 measurements on these cruises.
In this project, researchers at the Lamont-Dougherty Earth Observatory of Columbia University will measure the CFC-11, CFC-12 and SF6 distributions along the US GEOTRACES North Atlantic cruise track. They will use these data to identify the most recently ventilated cores of the North Atlantic water masses, to estimate transit times of these water masses from their source regions, and to estimate oxygen consumption rates and rates of production or decomposition of selected trace elements measured on this program using the transit time information.
Broader Impacts: In addition to providing information on ventilation and transit times for the GEOTRACES project, the CFC and SF6 data collected on this cruise will also expand the transient tracer data base for the North Atlantic Ocean. The data will be disseminated widely to the research community following NSF guidelines. Several CLIVAR cruises to the North Atlantic are planned for the 2010 - 2012 time period, and the GEOTRACES cruise will increase the coverage for CFCs and SF6. This database of the temporally evolving CFC and SF6 concentrations in the North Atlantic Ocean is used in studies of the earth's climate and the ocean's role in the earth's climate and the global CO2 cycle. It is used to validate models of ocean circulation and to quantify the uptake and storage of anthropogenic CO2 in the ocean.";
    String projects_1_end_date "2012-11";
    String projects_1_name "U.S. GEOTRACES North Atlantic Section: CFC and SF6 Measurements";
    String projects_1_project_nid "810643";
    String projects_1_start_date "2009-12";
    String projects_2_acronym "GT NAT RAPID CFC SF6";
    String projects_2_description 
"NSF Award Abstract:
The U.S. GEOTRACES North Atlantic campaign cruise was launched from Lisbon on the R/V/ Knorr in October, 2010. Unfortunately, in mid-course, a problem with the propulsion system developed, and the cruise had to be aborted. The Knorr went to a shipyard in Charleston, SC for repairs where scientific equipment and samples were offloaded there and shipped back to the various home institutions of the various scientists.
This project addresses the efforts of one investigator originally funded through an ARRA award to participate in the North Atlantic campaign -- to resume a set of essential observations when the field program resumes in November, 2011.
With support through a Grant for Rapid Response Research (RAPID), a research team at the Lamont-Dougherty earth Observatory will measure the CFC-11, CFC-12 and SF6 distributions along the autumn 2011 continuation of the previously aborted US GEOTRACES North Atlantic transect. They will use these data to identify the most recently ventilated cores of the North Atlantic water masses, to estimate transit times of these water masses from their source regions, and to estimate oxygen consumption rates and rates of production or decomposition of selected trace elements measured on this program using the transit time information. Such measurements are critically important to understanding how the physical processes of advection, mixing, and water mass formation affect the distributions of trace elements and isotopes in the ocean. The evolving CFC and SF6 distributions in the ocean provide strong constraints on these processes. Measurement of CFCs and SF6 on the GEOTRACES program places the GEOTRACES data in the context of large scale ventilation patterns established by CFC/SF6 measurements on these cruises.
Broader Impacts. In addition to providing information on ventilation and transit times for the GEOTRACES project, the CFC and SF6 data collected on this cruise will also expand the transient tracer data base for the North Atlantic Ocean. The data will be disseminated widely to the research community following NSF guidelines. Several CLIVAR cruises to the North Atlantic are planned for the 2010 - 2012 time period, and the GEOTRACES cruise will increase the coverage for CFCs and SF6. This database of the temporally evolving CFC and SF6 concentrations in the North Atlantic Ocean is used in studies of the role of the ocean in global climate and the global CO2 cycle. It is used to validate models of ocean circulation and to quantify the uptake and storage of anthropogenic CO2 in the ocean. Such information is critical for society to make sound decisions on policies to deal with climate change.";
    String projects_2_end_date "2013-06";
    String projects_2_name "RAPID: Continuation of U.S. GEOTRACES North Atlantic Section: CFC and SF6 Measurements";
    String projects_2_project_nid "810649";
    String projects_2_start_date "2011-07";
    String projects_3_acronym "DWBC Obs Line W";
    String projects_3_description 
"NSF Award Abstract:
Overview: Over the last decade, a growing international research effort has focused attention on the physical state of the Atlantic Meridional Overturning Circulation (AMOC), including its climatically-vital transports of heat, mass and tracers, and the causes and consequences of its variability. Begun in 2004, the Line W program - moored and shipboard measurements of the equatorward-flowing Deep Western Boundary Current (DWBC) and poleward-flowing Gulf Stream along an altimeter track between New England and Bermuda has acquired a remarkable 10-year time series of this component of the AMOC. The goals of this project are to conduct a final Line W cruise to recover the current meter array presently in the water and reoccupy the hydrographic section, to process the recovered sensor data to final form and refurbish the sea-going equipment, and to complete the scientific analysis of the Line W data set in conjunction with fellow AMOC investigators.
Intellectual Merit: Property and transport time series generated by several AMOC programs are now approaching or exceeding a decade in length and are starting to provide truly unprecedented views of the AMOC's structure, strength and variability. Synthesizing these results and combining them with state estimate models will undoubtedly result in improved understanding of the mechanics, dynamics and impacts of AMOC variability. Key foci of this project's analysis effort include careful quantification of the local variability at Line W, estimating variations in net (coast-to-coast) meridional transport of selected water masses by combining Line W observations with interior-ocean data and via models, and investigating the meridional coherence of water property anomalies and AMOC fluctuations by comparing Line-W observations with water property observations and AMOC estimates at other latitudes.
Broader Impacts: A graduate student in the MIT/WHOI Joint Program will be funded to complete her Ph.D. thesis that will be based on Line W. As in past years, several students and/or postdocs will be involved in the final Line W cruise to gain hands-on experience with hydrographic sampling procedures and physical oceanographic mooring work. In this analysis and synthesis project, the original Line W investigators are entraining a new junior scientist into the research effort. This will introduce the investigator to new observational practices and associated data reduction and analysis procedures while bringing new expertise and viewpoints to the study. It is absolutely critical to observational physical oceanography that young investigators become fully versed in modern observational methods. The project's investigators will additionally continue to showcase Line W in public outreach events as a demonstration of ocean science and climate variation studies. Beyond these human elements, the Line W program is continuing to serve as a testbed for several emerging ocean measurement technologies and associated data processing procedures.";
    String projects_3_end_date "2018-02";
    String projects_3_name "Collaborative Research: Completing a 10-Year Record of Deep Western Boundary Current Observations at Line W; A Contribution to the Atlantic Meridional Overturning Circulation Study";
    String projects_3_project_nid "810654";
    String projects_3_start_date "2014-03";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 17.351;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "OTHER_Age,OTHER_Age_Uncert";
    String summary "Water mass fractions and ages calculated from hydrographic and tracer data using a maximum-entropy inversion technique.\\r\\n\\r\\nThis dataset contains the fraction of water last ventilated in a given region in a time less than or equal to 39 years ago as well as the corresponding ensemble standard deviations.";
    String title "[Water Mass Fractions - Ages] - Mean ventilation age reported for 7 regions of the Atlantic based on samples collected from R/V Knorr cruises KN199-04 and KN204-01 during 2010-2011 (U.S. GEOTRACES North Atlantic Transect)";
    String version "1";
    Float64 Westernmost_Easting -69.827;
    String xml_source "osprey2erddap.update_xml() v1.5";
  }
}
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 (external link)
Data Access Protocol (DAP) (external link)
and its selection constraints (external link)
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.