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| Dataset Title: | [Park phase data] - Float park phase data collected at depth in the Sargasso Sea from 2013-2014. (Rapid, Autonomous Particle Flux Observations in the Oligotrophic Ocean) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_728335) |
| Information: | Summary
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| ISO 19115
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Attributes {
s {
deployment {
String bcodmo_name "deployno";
String description "For short-term deployments (1.5-3 days), the BATS cruise number from which the float was deployed. For long-term deployments, the serial number of the float (F033 or F034).";
String long_name "Deployment";
String units "unitless";
}
float_id {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 33, 34;
String bcodmo_name "inst_model";
String description "The serial number of the float (F033 or F034).";
String long_name "Float Id";
String units "unitless";
}
prof_num {
Int16 _FillValue 32767;
Int16 actual_range 1, 139;
String bcodmo_name "float_cycle";
String description "Number of float park cycle.";
String long_name "Prof Num";
String units "unitless";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 28.4094, 34.5731;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "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 -69.025, -61.3763;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "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";
}
date {
String bcodmo_name "date";
String description "The UTC date of each 15-minute park phase observation; yyyy/mm/dd";
String long_name "Date";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
String source_name "date";
String time_precision "1970-01-01";
String units "unitless";
}
time2 {
Float64 _FillValue NaN;
Float64 actual_range 9.26e-5, 0.999965278;
String bcodmo_name "time";
String description "The UTC time of each 15-minute park phase observation; HH:MM";
String long_name "Time";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
String units "unitless";
}
pres {
Float32 _FillValue NaN;
Float32 actual_range 0.6, 1113.6;
String bcodmo_name "pressure";
String description "Pressure acquired with Sea-Bird Scientific SBE 41CP CTD. This is reported as the instrument output with the factory calibration applied.";
String long_name "Pressure";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
String units "dbar";
}
temp {
Float32 _FillValue NaN;
Float32 actual_range 5.974, 22.686;
String bcodmo_name "temperature";
String description "Temperature acquired with Sea-Bird Scientific SBE 41CP CTD. This is reported as the instrument output with the factory calibration applied.";
String long_name "Temperature";
String units "Celsius";
}
sal {
Float32 _FillValue NaN;
Float32 actual_range 21.718, 36.652;
String bcodmo_name "sal";
String description "Salinity acquired with Sea-Bird Scientific SBE 41CP CTD. This is reported as the instrument output with the factory calibration applied.";
String long_name "Sal";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
String units "PSU";
}
optode_therm_v {
Float32 _FillValue NaN;
Float32 actual_range 0.59454, 1.00125;
String bcodmo_name "O2_v";
String description "Oxygen sensor thermistor raw voltage; Acquired with Sea-Bird Scientific SBE 63 Optical Dissolved Oxygen Sensor. This is the raw sensor output.";
String long_name "Optode Therm V";
String units "volts";
}
optode_temp {
Float32 _FillValue NaN;
Float32 actual_range 5.973, 22.684;
String bcodmo_name "temperature";
String description
"Temperature at dissolved oxygen sensor; Acquired with Sea-Bird Scientific SBE 63 Optical Dissolved Oxygen Sensor. Temperature at the dissolved oxygen sensor was calculated from the raw SBE 63 thermistor voltage by applying the factory calibration:
L = ln (100000 * thermistor voltage / (3.3 - thermistor voltage)) Temperature [ deg C] = 1 / (TA0 + TA1*L + TA2*L2 + TA3*L3) - 273.15
See https://www.bco-dmo.org/dataset/728371 for calibration coefficients.";
String long_name "Optode Temp";
String units "Celsius";
}
oxy_phase {
Float32 _FillValue NaN;
Float32 actual_range 16.335, 23.606;
String bcodmo_name "unknown";
String description "Oxygen sensor raw phase; Acquired with Sea-Bird Scientific SBE 63 Optical Dissolved Oxygen Sensor. This is the raw sensor output.";
String long_name "Oxy Phase";
String units "usec";
}
oxygen {
Float32 _FillValue NaN;
Float32 actual_range 145.6, 244.73;
String bcodmo_name "dissolved Oxygen";
String description
"Dissolved oxygen; Acquired with Sea-Bird Scientific SBE 63 Optical Dissolved Oxygen Sensor. Dissolved oxygen concentration [umol/kg] was calculated and corrected for salinity and pressure effects according to the 2016 Argo recommendations for processing of dissolved oxygen data (Thierry et al. 2016). As per these recommendations, an initial pressure correction was made to the raw measured oxygen phase delay Phi [usec] according to Bittig et al. 2015:
Phi adj = Phi raw + Pcoef1 * P / 1000
where Pcoef1 = 0.115 usec and P [dbar] is the collocated SBE 41CP CTD pressure measurement. The adjusted oxygen phase delay [usec] was then converted to voltage by applying the factory conversion:
V = Phiadj / 39.457071
Uncorrected dissolved oxygen concentration [mL/L] was calculated by applying the factory calibration:
Oxygen_uncorr [mL/L] = {(A0 + A1*T + A2*V2) / (B0 + B1*V) - 1.0} / (C0 + C1*T + C2*T2)
where T is SBE 63 temperature [deg C] and V is adjusted SBE 63 phase delay [V]. The oxygen calibration coefficients (A0, A1, A2, B0, B1, C0, C1, C2) are provided in Table 1. Dissolved oxygen concentration [mL/L] was then corrected for salinity and pressure effects according to the 2016 Argo recommendations.
Oxygen_corr [mL/L] = Oxygenun corr [mL/L] * Scorr * Pcorr
where
Scorr = A(T,S,Spreset) * exp(S*(SolB0 + SolB1*Ts + SolB2*Ts2 + SolB3*Ts3) + SolC0*S2)
A(T,S,Spreset) = (1013.25 - pH2O(T,Spreset)) / (1013.25 - pH2O(T,S))
pH2O = 1013.25 * exp(D0 + D1*(100 / (T + 273.15)) + D2*ln((T + 273.15) / 100) + D3*S)
Spreset = 0
TS = ln [(298.15 - T) / (273.15 + T)]
T and S are the collocated temperature and salinity measurements from the SBE 41CP CTD, respectively. Salinity correction coefficients are from Benson and Krause 1984 (SolB0 = -6.24523e-3, SolB1 = -7.37614e-3, SolB2 = -1.03410e-3, SolB3 = -8.17083e-3, SolC0 = -4.88682e-7) and pH2O coefficients are from Weiss and Price 1980 (D0 = 24.4543, D1 = -67.4509, D2 = -4.8489, D3 = -5.44e-4). The pressure correction factor Pcorr is calculated as outlined in Bittig et al. 2015 as
Pcorr = 1 + (Pcoef2 * T + Pcoef3) * P / 1000
with Pcoef2 = 0.00022 and Pcoef3 = 0.0419. Dissolved oxygen concentration [mL/L] was converted to dissolved oxygen concentration [umol/kg]:
Oxygen [umol/kg] = Oxygen [mL/L] * (44.6596 umol/mL) / (ρTheta/1000)
where ρθ is the potential density of seawater [kg/m3] at zero pressure and the potential temperature calculated from collocated SBE 41CP CTD salinity, temperature, and pressure measurements using the pden function in the SEAWATER Matlab library (Morgan and Pender 1993). The value of 44.6596 umol/mL is derived from the molar volume of oxygen gas at standard temperature and pressure, 22.3916 L/mole (e.g., García and Gordon 1992).
See https://www.bco-dmo.org/dataset/728371 for calibration coefficients.";
String long_name "Oxygen";
String units "umol/kg";
}
oxygen_cal {
Float32 _FillValue NaN;
Float32 actual_range 143.42, 245.83;
String bcodmo_name "dissolved Oxygen";
String description
"Calibrated dissolved oxygen; The dissolved oxygen concentrations calculated above were corrected to dissolved oxygen concentrations measured by Winkler titration of bottle samples collected during concurrent Bermuda Atlantic Time-series Study cruises (available at https://www.bco-dmo.org/project/2124 or http://bats.bios.edu).
Linear regression yields the relationship:
oxygen_cal [umol/kg] = oxygen [umol/kg] * 1.0331 – 6.9976; R2 = 0.97.
See https://www.bco-dmo.org/dataset/728371 for bottle calibration data.";
String long_name "Oxygen Cal";
String units "umol/kg";
}
chl {
Float32 _FillValue NaN;
Float32 actual_range -0.0199, 1.8106;
String bcodmo_name "chlorophyll a";
String description "Chlorophyll-a; Acquired with WET Labs MCOMS Chlorophyll Fluorometer (excitation 470 nm/emission 695 nm). A dark offset was subtracted from the raw sensor counts and the result was multiplied by a factory-determined scale factor to obtain fluorometric chlorophyll-a concentration [ug/L]. The dark offset was computed separately for each sensor as the mean of the deep-water minima measured during all profiles between July and September 2013 at BATS (https://www.bco-dmo.org/dataset/728371). Chl [ug/L] = Scale Factor * (Output - Dark Counts)";
String long_name "CHL";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
String units "ug/L";
}
chl_corr {
Float32 _FillValue NaN;
Float32 actual_range -0.0255, 1.8047;
String bcodmo_name "chlorophyll a";
String description "Corrected chlorophyll-a; The fluorometric chlorophyll-a values derived above were further corrected by removing the deep-water dependence of chlorophyll fluorescence on fluorescent colored dissolved organic matter (CDOM; see below) and a small residual deep-water sensor offset. The method of Xing et al. (2017) was applied. Briefly chlorophyll fluorescence in deep water was assumed to originate entirely from a combination of the above factors the dependence of the measured chlorophyll fluorescence on CDOM was determined through linear regression and the regression parameters were used to correct the entire chlorophyll profile. Profiles shallower than 200 m were corrected using the regression parameters of the subsequent float profile.";
String long_name "Chl Corr";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
String units "ug/L";
}
chl_cal {
Float32 _FillValue NaN;
Float32 actual_range -0.0057, 0.8647;
String bcodmo_name "chlorophyll a";
String description
"Calibrated chlorophyll-a; Corrected fluorometric chlorophyll-a concentrations (chl_corr derived above) were calibrated to chlorophyll-a concentrations measured by HPLC of bottle samples collected during concurrent Bermuda Atlantic Time-series Study cruises (available at https://www.bco-dmo.org/project/2124 or http://bats.bios.edu).
Linear regression yields the relationship:
chl_cal [µ=ug/L] = chl [ug/L] * 0.4756 + 0.0064; R2 = 0.92.
See https://www.bco-dmo.org/dataset/728371 for bottle calibration data.";
String long_name "Chl Cal";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
String units "ug/L";
}
bbp700 {
Float32 _FillValue NaN;
Float32 actual_range -2.22e-4, 0.052367;
String bcodmo_name "bbp700";
String description
"Particulate backscattering coefficient bbp (700nm); Acquired with WET Labs MCOMS Scattering Meter with 700-nm wavelength and in-water centroid angle of 150 deg. See Table 3 in paper.
The particulate volume scattering coefficient βp was calculated as
βp(150 deg,700 nm) [m-1 sr-1] = Scale Factor * (Output – Dark Counts)
using a factory-determined scale factor and a dark offset, computed separately for each sensor as the mean of the deep-water minima measured during all profiles between July and September 2013 at BATS (https://www.bco-dmo.org/dataset/728371). Particulate backscattering coefficient, bbp(λ) [m-1], is estimated as
bbp = 2πχβp(150 deg)
χ = 1.13 for 150 deg (from Boss and Pegau 2001).";
String long_name "BBP700";
String units "m -1";
}
bbp700_corr {
Float32 _FillValue NaN;
Float32 actual_range -1.8e-5, 0.052572;
String bcodmo_name "bbp700";
String description "Corrected particulate backscattering coefficient bbp (700nm); Depth profiles of particulate backscattering coefficient bbp(700 nm) were despiked using a running median filter (Briggs et al. 2011). Due to the size of the median filter window the initial and final six data points in each profile could not be despiked and appear as NaN. Park phase bbp(700 nm) data were not despiked because they were collected at a nominally constant depth. Despiked profile phase bbp(700 nm) and raw park phase bbp(700 nm) were further corrected by a float-specific deep-water offset. The minimum bbp(700 nm) measured during the long-term deployments was determined for each float (-2.0488e-04 m-1 for F033; -1.1139e-04 m-1 for F034) and subtracted from the bbp(700 nm) values derived above.";
String long_name "Bbp700 Corr";
String units "m -1";
}
POC_bbp {
Float64 _FillValue NaN;
Float64 actual_range -0.2657, 1683.6505;
String bcodmo_name "POC";
String description
"Particulate organic carbon derived from bbp (700 nm); The relationship between corrected bbp(700 nm) measured by the float backscatter sensor (bbp700_corr derived above) and POC concentrations measured in bottle samples collected during concurrent Bermuda Atlantic Time-series Study cruises (available at https://www.bco-dmo.org/project/2124 or http://bats.bios.edu) was utilized to predict POC concentration from corrected bbp(700 nm) for all float samples.
Linear regression yields the relationship:
POC [mg/m3] = bbp(700 nm) [m-1] * 32020.0874 + 0.2973; R2 = 0.86.
See https://www.bco-dmo.org/dataset/728371 for bottle calibration data.";
String long_name "POC Bbp";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGCAP1/";
String units "mg/meters cubed";
}
cdom {
Float32 _FillValue NaN;
Float32 actual_range -0.4362, 1.8625;
String bcodmo_name "CDOM";
String description
"Colored dissolved organic matter; Acquired with WET Labs MCOMS CDOM Fluorometer (excitation 370 nm/emission 460 nm). A dark offset was subtracted from the raw sensor counts and the result was multiplied by a factory-determined scale factor to obtain colored dissolved organic matter concentration [ppb].
The dark offset was computed separately for each sensor as the mean of the surface minima (0 – 20 dbar) measured during all profiles between July and September 2013 at BATS (https://www.bco-dmo.org/dataset/728371).";
String long_name "Chromophoric Dissolved Organic Material";
String units "ppb";
}
trans_counts {
Int16 _FillValue 32767;
Int16 actual_range 6590, 15664;
String bcodmo_name "count";
String description "Transmissometer raw counts; Acquired with WET Labs c-ROVER 2000 transmissometer with 650-nm wavelength and 0.25-m pathlength. This is reported as the raw sensor output in counts.";
String long_name "Trans Counts";
String units "count";
}
beam_c {
Float32 _FillValue NaN;
Float32 actual_range -0.0113, 3.3804;
String bcodmo_name "beam_cp";
String description
"Uncorrected particulate beam attenuation coefficient cp (650 nm); Acquired with WET Labs c-ROVER 2000 transmissometer with 650-nm wavelength and 0.25-m pathlength.
Transmittance is calculated as:
Transmittance = (Signal - Dark) / (Cal Signal - Dark)
Signal = raw output in counts
Dark = counts with beam blocked, factory supplied
Cal Signal = counts with Milli-Q water in sensor path, acquired prior to deployment (https://www.bco-dmo.org/dataset/728371)
The beam attenuation coefficient is calculated as:
cp,uncorr(650 nm) = -ln (transmittance) / pathlength [m]
No correction for drift of the sensor over time (for instance, due to bio-fouling, see Estapa et al. 2013) has been applied.";
String long_name "Beam C";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ATTNZZ01/";
String units "m -1";
}
tilt {
Float32 _FillValue NaN;
Float32 actual_range 0.1, 9.4;
String bcodmo_name "unknown";
String description "The maximum tilt value recorded during each sampling interval.";
String long_name "Tilt";
String units "degrees";
}
azimuth {
Int16 _FillValue 32767;
Int16 actual_range 0, 360;
String bcodmo_name "azimuth";
String description "The uncalibrated compass heading of the float.";
String long_name "Azimuth";
String units "degrees";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
String acquisition_description
"Multiple deployments of two Sea-Bird Scientific Navis BGCi floats (numbers
F033 and F034) equipped with CTDs, transmissometers, O2 optodes,
backscattering (700 nm), fluorescence (chlorophyll, colored dissolved organic
matter), and tilt sensors were conducted between July 2013 and November 2014
in conjunction with Bermuda Atlantic Time-series Study cruises. Short-term
deployments (1.5 \\u2013 3 days) followed by recovery of the floats were
conducted during four monthly BATS cruises in July \\u2013 October 2013 and one
cruise in March 2014. Both floats were deployed during the July and August
2013 cruises and float F034 was deployed for the remaining cruises. Each float
collected one profile per cruise with the exception of the August 2013 cruise,
during which the two floats together collected 13 profiles. During short-term
deployments, floats first completed an initial descent and ascent without
parking, then completed 1 or 2 more profile cycles with different, consecutive
target depths. Following the initial descent/ascent described above, the
short-term profile cycles were structured as described below for long-term
deployments. In addition to the short-term cruise deployments, F033 profiled
continuously from October 2013 until early April 2014, yielding 77 profiles,
and F034 profiled continuously from March 2014 until late November 2014,
yielding 139 profiles. During these long-term deployments, a typical cycle
consisted of 1) the descent to the target park depth, 2) a park phase at the
target depth lasting 1.5 \\u2013 2.5 days during which measurements are made
every 15 minutes, 3) a descent to 1000 dbar, 4) an ascent to the surface
during which measurements are made, and 5) a surface telemetry phase, during
which a GPS fix is obtained, data are uploaded via Iridium, and instructions
for the next cycle are downloaded. During long-term deployments, floats cycled
through park phases at 150/200, 300, 500, and 1000 dbar every 7 days, spending
2.5 days at 1000 dbar and 1.5 days at the shallower depths. The sequence of
park phase depth at the three shallowest depths was varied between each 7-day
cycle over a 21-day period to avoid aliasing in particle flux profiles.
A float firmware error early in the project prevented collection of upper
water column data in some of the short-term deployments. This was remedied
before long-term deployment of the floats commenced. The floats occasionally
performed a reboot during ascent profiles. The affected profiles are missing
data for some pressure bins. Colored dissolved organic matter data are not
available for float F034 profiles from cruises B295 and B296 due to sensor
malfunction.
Park Data were acquired during the park phase at the target depth at a
sampling rate of 15 minutes.";
String awards_0_award_nid "644826";
String awards_0_award_number "OCE-1406552";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1406552";
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
"Park Phase Data
M. Estapa and K. Buesseler, PIs
Version 17 April 2018";
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 "2018-02-26T20:19:34Z";
String date_modified "2018-09-19T20:02:21Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.734334";
Float64 Easternmost_Easting -61.3763;
Float64 geospatial_lat_max 34.5731;
Float64 geospatial_lat_min 28.4094;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -61.3763;
Float64 geospatial_lon_min -69.025;
String geospatial_lon_units "degrees_east";
String history
"2024-11-21T12:12:32Z (local files)
2024-11-21T12:12:32Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_728335.html";
String infoUrl "https://www.bco-dmo.org/dataset/728335";
String institution "BCO-DMO";
String instruments_0_acronym "CTD Sea-Bird";
String instruments_0_dataset_instrument_description "Used for sampling";
String instruments_0_dataset_instrument_nid "728342";
String instruments_0_description "Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics, no specific unit identified. This instrument designation is used when specific make and model are not known. See also other SeaBird instruments listed under CTD. More information from Sea-Bird Electronics.";
String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
String instruments_0_instrument_name "CTD Sea-Bird";
String instruments_0_instrument_nid "447";
String instruments_0_supplied_name "SBE 41CP CTD";
String instruments_1_acronym "Fluorometer";
String instruments_1_dataset_instrument_description "Used for sampling";
String instruments_1_dataset_instrument_nid "733225";
String instruments_1_description "A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ.";
String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
String instruments_1_instrument_name "Fluorometer";
String instruments_1_instrument_nid "484";
String instruments_1_supplied_name "WET Labs MCOMS Chlorophyll Fluorometer";
String instruments_2_acronym "Transmissometer";
String instruments_2_dataset_instrument_description "Equipped on Sea-Bird Scientific Navis BGCi floats (numbers F033 and F034)";
String instruments_2_dataset_instrument_nid "729419";
String instruments_2_description "A transmissometer measures the beam attenuation coefficient of the lightsource over the instrument's path-length. This instrument designation is used when specific manufacturer, make and model are not known.";
String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/124/";
String instruments_2_instrument_name "Transmissometer";
String instruments_2_instrument_nid "491";
String instruments_2_supplied_name "Transmissometers";
String instruments_3_acronym "Dissolved Oxygen Sensor";
String instruments_3_dataset_instrument_description "Used to sample dissolved oxygen, Sea-Bird Scientific Navis BGCi floats (numbers F033 and F034)";
String instruments_3_dataset_instrument_nid "728343";
String instruments_3_description "An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed";
String instruments_3_instrument_name "Dissolved Oxygen Sensor";
String instruments_3_instrument_nid "705";
String instruments_3_supplied_name "O2 optode";
String instruments_4_acronym "OBS";
String instruments_4_dataset_instrument_description "Used to measure backscatter";
String instruments_4_dataset_instrument_nid "733227";
String instruments_4_instrument_name "Optical Backscatter Sensor";
String instruments_4_instrument_nid "686843";
String instruments_4_supplied_name "WET Labs MCOMS Scattering Meter";
String keywords "altimetry, azimuth, bbp, bbp700, bbp700_corr, bco, bco-dmo, beam, beam_c, biological, cal, cdom, chemical, chl, chl_cal, chl_corr, chlorophyll, chromophoric, colored, corr, counts, data, dataset, date, deployment, dissolved, dmo, erddap, float, float_id, laboratory, latitude, longitude, management, material, matter, num, O2, oceanography, office, optode, optode_temp, optode_therm_v, organic, oxy, oxy_phase, oxygen, oxygen_cal, phase, poc, POC_bbp, preliminary, pres, pressure, prof, prof_num, sal, satellite, temperature, therm, tilt, time, time2, trans, trans_counts, v";
String license "https://www.bco-dmo.org/dataset/728335/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/728335";
Float64 Northernmost_Northing 34.5731;
String param_mapping "{'728335': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/728335/parameters";
String people_0_affiliation "Skidmore College";
String people_0_person_name "Margaret L. Estapa";
String people_0_person_nid "644830";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "Woods Hole Oceanographic Institution";
String people_1_affiliation_acronym "WHOI";
String people_1_person_name "Kenneth O. Buesseler";
String people_1_person_nid "50522";
String people_1_role "Co-Principal Investigator";
String people_1_role_type "originator";
String people_2_affiliation "Skidmore College";
String people_2_person_name "Margaret L. Estapa";
String people_2_person_nid "644830";
String people_2_role "Contact";
String people_2_role_type "related";
String people_3_affiliation "Woods Hole Oceanographic Institution";
String people_3_affiliation_acronym "WHOI BCO-DMO";
String people_3_person_name "Hannah Ake";
String people_3_person_nid "650173";
String people_3_role "BCO-DMO Data Manager";
String people_3_role_type "related";
String project "RapAutParticleFlux";
String projects_0_acronym "RapAutParticleFlux";
String projects_0_description
"Particles settling into the deep ocean remove carbon and biologically-important trace elements from sunlit, productive surface waters and from contact with the atmosphere over short timescales. A shifting balance among physical, chemical, and biological processes determines the ultimate fate of most particles at depths between 100 and 1,000 m, where fluxes are hardest to measure. Our challenge is to expand the number of particle flux observations in the critical \"twilight zone\", something that has proven elusive with ship-based “snapshots” that have lengths of, at most, a few weeks. Here, we propose an optical, transmissometer-based method to make particle flux observations from autonomous, biogeochemical profiling floats. Novel developments in data interpretation, sensor operation, and platform control now allow flux measurements at hourly resolution and give us observational access to the water-column processes driving particle flux over short timescales. The sensors and float platforms that we propose to use are simple, robust, and commercially-available, making them immediately compatible with community-scale efforts to implement other float-based biogeochemical measurements.
We have two main goals: First, we will quantify particulate organic carbon (POC) flux using float-based optical measurements by validating our observations against fluxes measured directly with neutrally-buoyant, drifting sediment traps. Second, we will evaluate the contribution of rapid export events to total POC fluxes in the oligotrophic ocean by using a biogeochemical profiling float to collect nearly-continuous, depth-resolved flux measurements and coupled, water-column bio-optical profiles.
To achieve these goals, we will implement a work plan consisting of 1) a set of laboratory-based sensor calibration experiments to determine detection limits and evaluate sensitivity to particle size; 2) a series of four sediment trap and biogeochemical float co-deployments during which we will collect POC flux and field calibration data; and 3) a long-term sampling and analysis period (approximately 1 year) during which data will be returned by satellite from the biogeochemical float. We will conduct calibration fieldwork in conjunction with monthly Bermuda Atlantic Time-series Study (BATS) cruises, taking advantage of the timeseries measurements and the context provided by the 25-year record of POC flux at that site. The data returned by the float will comprise the first quantitative particle flux observations made at high-enough temporal resolution to interpret in the context of short-term, upper-ocean production events.";
String projects_0_end_date "2014-11";
String projects_0_geolocation "Sargasso Sea";
String projects_0_name "Rapid, Autonomous Particle Flux Observations in the Oligotrophic Ocean";
String projects_0_project_nid "644827";
String projects_0_start_date "2013-07";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 28.4094;
String standard_name_vocabulary "CF Standard Name Table v55";
String summary "Optical proxy measurements of sinking particle flux and water-column bio-optical profiles were obtained from profiling floats in the Sargasso Sea to expand the number of particle flux observations in the critical and under-sampled \\u201ctwilight zone\\u201d. Particulate organic carbon flux derived from float-based optical sediment trap measurements was validated against fluxes measured directly with co-deployed, drifting neutrally-buoyant, sediment traps during a series of five short cruises before floats were deployed for approximately one year. The data returned by the floats comprise quantitative particle flux observations made at high-enough temporal resolution to interpret in the context of short-term, upper-ocean production events.";
String title "[Park phase data] - Float park phase data collected at depth in the Sargasso Sea from 2013-2014. (Rapid, Autonomous Particle Flux Observations in the Oligotrophic Ocean)";
String version "2";
Float64 Westernmost_Easting -69.025;
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.