Discrete samples from CTD casts from R/V Roger Revelle KNOX22RR in the Patagonian Shelf (SW South Atlantic) from December 2008 (COPAS08 project)

Website: https://www.bco-dmo.org/dataset/3363
Version: 27 July 2010
Version Date: 2010-07-27

Project
» Coccolithophores of the Patagonian Shelf 2008 (COPAS08)

Program
» Ocean Carbon and Biogeochemistry (OCB)
ContributorsAffiliationRole
Balch, William M.Bigelow Laboratory for Ocean SciencesPrincipal Investigator, Contact
Gegg, Stephen R.Woods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager


Dataset Description

Discrete Samples from CTD Casts


Methods & Sampling

The Balch lab was involved in sampling a number of variables from the bottle casts,
running an optical surface underway system and it also coordinated the carboy
experiments and dilution experiments on ocean acidification. We sampled from 76 CTD
stations during the cruise, taking water from 8 of the 12 bottles each cast. Water
samples were taken for particulate organic carbon (POC) and particulate organic
nitrogen (PON), particulate inorganic carbon (CaCO3 or PIC), biogenic silica,
coccolithophore counts (processed using the Canada Balsam technique for enumeration
of calcite particles), chlorophyll a extractions (surface bottles always run in
triplicate), and flow-cam samples (for enumeration of net and nanoplankton).


Data Processing Description

BCO-DMO Processing Notes
Generated from original file "copas08 discrete samples.xls" contributed by Bruce Bowler

BCO-DMO Edits
- Parameter names modified to conform to BCO-DMO convention
- date reformatted to YYYYMMDD
- time reformatted to HHMMSS
- data reported to number of decimal places as appropriate
- "-999" no data flag changed to "nd"


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Data Files

File
discrete_samples.csv
(Comma Separated Values (.csv), 263.62 KB)
MD5:fb084a057e8d9626622e3e502d9ecbc2
Primary data file for dataset ID 3363

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Parameters

ParameterDescriptionUnits
stationCOPAS'08 station Id integer
datedate (GMT) YYYYMMDD
timetime (GMT) HHMMSS
lonStation longitude (West is negative) decimal degrees
latStation latitude (South is negative) decimal degrees
CASTNOCast Number integer
BTLNBRBottle Number integer
DepthSample depth meters
CTDOXYCTDOXY ML/L
FlSPfluoresence voltage volts
Xmissbeam transmission percentage
Batbeam attenuation Bat/m
ParPAR uEinstein/m^2/Sec
OXYGENOXYGEN ML/L
SILCATSILCAT uMOL/L
NITRATNITRAT uMOL/L
NITRITNITRIT uMOL/L
PHSPHTPHSPHT uMOL/L
NH4NH4 uMOL/L
Chl_aChl_a ug/L
PhaeoPhaeo ug/L
Chl_a_plus_PhaeoChl_a + Phaeo ug/L
BsiBsi nmol/L
POCPOC ug/L
PONPON ug/L
PICPIC ug/L
Quadsthe number of whole birefringent plates from coccolithophorids observed with optical microscopy Quads/ml
cells_plus_aggregates the number of birefringent plated cells and aggregates observed with optical microscopy cells_plus_aggregates/ml


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Instruments

Dataset-specific Instrument Name
Niskin bottle
Generic Instrument Name
Niskin bottle
Generic Instrument Description
A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.

Dataset-specific Instrument Name
CTD Sea-Bird 911
Generic Instrument Name
CTD Sea-Bird 911
Dataset-specific Description
Data was acquired using SeaBird SeaSave for SBE 911 software (v7)Sample Header File * Sea-Bird SBE 9 Data File: * FileName = C:/CTD/balch-12-2008/06101.hex * Software Version Seasave V 7.18b * Temperature SN = 4307 * Conductivity SN = 2593 * Number of Bytes Per Scan = 44 * Number of Voltage Words = 5 * Number of Scans Averaged by the Deck Unit = 1 * Append System Time to Every Scan * System UpLoad Time = Dec 17 2008 12:46:09 * NMEA Latitude = 48 45.00 S * NMEA Longitude = 059 47.47 W * NMEA UTC (Time) = Dec 17 2008 12:46:10 * Store Lat/Lon Data = Append to Every Scan ** Station/Cast: 06101 ** LAT: 48 45.000S ** LON: 59 47.475W ** Bottom Depth: 466 ** Cast Type: DN ** Event No: 200812171246 # units = specified # bad_flag = -9.990e-29 # sensor 0 = Frequency 0 temperature, primary, 4307, 11-Sep-08 # sensor 1 = Frequency 1 conductivity, primary, 2593, 03-Sep-08 , cpcor = -9.5700e-08 # sensor 2 = Frequency 2 pressure, 0831, 17-Sep-08 # sensor 3 = Frequency 3 temperature, secondary, 2495, 11-Sep-08 # sensor 4 = Frequency 4 conductivity, secondary, 2766, 09-Sep-08 , cpcor = -9.5700e-08 # sensor 5 = Extrnl Volt 0 Fluorometer, Seapoint, primary # sensor 6 = Extrnl Volt 1 irradiance (PAR), primary, 4644, 11 Feb. 2004 # sensor 7 = Extrnl Volt 2 transmissometer, primary, CST-1115-DR, 01 May 2008 # sensor 8 = Extrnl Volt 4 altimeter # sensor 9 = Extrnl Volt 6 Oxygen, SBE, primary, 1129, 30-May-08p # sensor 10 = Extrnl Volt 9 surface irradiance (SPAR), degrees = 0.0 # datcnv_date = Dec 17 2008 23:17:36, 7.18b # datcnv_in = w:/06101.hex w:/06101.CON # datcnv_skipover = 4800 # datcnv_ox_hysteresis_correction = yes # datcnv_ox_tau_correction = yes # wildedit_date = Dec 17 2008 23:17:41, 7.18b # wildedit_in = w:/06101.cnv # wildedit_pass1_nstd = 2.0 # wildedit_pass2_nstd = 10.0 # wildedit_pass2_mindelta = 0.000e+000 # wildedit_npoint = 500 # wildedit_vars = prDM t090C c0mS/cm t190C c1mS/cm sbeox0ML/L sbeox0Mm/Kg sbeox0PS flSP xmiss bat par spar cpar altM # wildedit_excl_bad_scans = yes # filter_date = Dec 17 2008 23:17:46, 7.18b # filter_in = w:/06101.cnv # filter_low_pass_tc_A = 0.030 # filter_low_pass_tc_B = 0.150 # filter_low_pass_A_vars = # filter_low_pass_B_vars = prDM # alignctd_date = Dec 17 2008 23:17:54, 7.18b # alignctd_in = w:/06101.cnv # alignctd_adv = sbeox0ML/L 7.000, sbeox0Mm/Kg 7.000, sbeox0PS 7.000 # celltm_date = Dec 17 2008 23:17:59, 7.18b # celltm_in = w:/06101.cnv # celltm_alpha = 0.0300, 0.0300 # celltm_tau = 7.0000, 7.0000 # celltm_temp_sensor_use_for_cond = primary, secondary # loopedit_date = Dec 17 2008 23:18:03, 7.18b # loopedit_in = w:/06101.cnv # loopedit_minVelocity = 0.050 # loopedit_surfaceSoak: do not remove # loopedit_excl_bad_scans = yes # Derive_date = Dec 17 2008 23:18:10, 7.18b # Derive_in = w:/06101.cnv w:/06101.CON# file_type = ascii *END* This mstar file created from sbe file 06101.cnv at 2008-12-18 11:22:36 condcal = 1.000186 * cond cond2cal = 1.000098 * cond2 oxygen calibration = 0.058575 + 1.048204 * sbeoxy
Generic Instrument Description
The Sea-Bird SBE 911 is a type of CTD instrument package. The SBE 911 includes the SBE 9 Underwater Unit and the SBE 11 Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 and SBE 11 is called a SBE 911. The SBE 9 uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 and SBE 4). The SBE 9 CTD can be configured with auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). More information from Sea-Bird Electronics.


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Deployments

KNOX22RR

Website
Platform
R/V Roger Revelle
Report
Start Date
2008-12-04
End Date
2009-01-02
Description
Cruise KNOX22RR was an expedition to study the Patagonian Shelf coccolithophorid bloom. A total of 168 CTD profiles at 152 stations were completed during the cruise, including 25 dawn primary productivity casts. Depths of the profiles varied from less than 10 m for carboy experiments to a maximum of 5204 m. Most casts, however, extended to 1000 m offshore and were limited by topography along the shelf break and inshore. Profile casts down to 1000 m were interspersed with water casts to increase the along-track resolution of the hydrographic data and to resolve the deeper structure beyond the euphotic zone. On such casts, water was not sampled. On casts where water was taken, sampling from Niskin bottles took place in the following order: oxygen, DIC/Alk, DMS, DOC, nutrients, primary productivity, PIC/POC/Chl, cyanobacteria distribution, HPLC, virus abundance, salts. Sampling was carried out at the following fixed light depths: 50%, 30%, 20%, 10%, 5%, 3%, 1%, 0.1%. The depths were calculated based on one of two methods: (a) during the day, percentages of surface irradiance taken from the downcast profile immediately preceding bottle firing or, (b) at night, based on the measured beam transmittance and previously determined relationships between beam transmittance and diffuse attenuation of photosynthetically available radiation (PAR). Cruise information and original data are available from the NSF R2R data catalog.


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Project Information

Coccolithophores of the Patagonian Shelf 2008 (COPAS08)


Coverage: Patagonian Shelf (SW South Atlantic) 35-55°S, 55-65°W.


A main focus of the COPAS project is to study coccolithophores at the fringes of the Southern Ocean on the Patagonian Shelf (PS) east of Argentina. Some of the most extensive coccolithophore blooms in the world occur on the PS but the remoteness of the region has impeded their study. In this part of the southern ocean, the most basic knowledge is lacking about a) the relationships between coccolithophores and other species of phytoplankton, b) the impact of coccolithophores on the carbon cycle and c) how environmental changes affect bloom taxonomy and function.

This will be the first multi-disciplinary ship-based investigation of these mesoscale blooms, building on an understanding of coccolithophore ecology derived almost exclusively from northern hemisphere bloom studies. This study will document the ecological factors regulating the spatial-temporal distribution of the coccolithophore blooms (the largest recurring coccolithophorid bloom in the sounthern hemisphere) using a combination of underway, satellite and discrete sampling. Satellite measurements will provide quantitative estimates of particulate inorganic carbon (PIC) and particulate organic carbon (POC) in coccolithophore blooms while underway hydrographic and optical sampling will allow real-time evaluation of coccolithophores in both bloom and surrounding non-bloom waters. Vertical casts across the shelf front will provide depth resolved coccolithophore abundance as well as estimates of phytoplankton species richness.

Another goal is to examine the effects of ocean acidification on algal optical properties, coccolithophore concentrations and PIC concentrations (to be determined from deck experiments). Dilution experiments will provide key estimates on phytoplankton growth rates, coccolithophore growth rates and calcification rates, plus the intrinsic loss rates (i.e. phytoplankton grazing, coccolithophore grazing and dissolution associated with zooplankton grazing). PIC has not been examined in dilution experiments heretofore. The project will yield fundamental insights into a) our understanding of coccolithophore ecology (not just Emiliania huxleyi) and b) the utility of the "functional group" concept to describe coccolithophore variability over the PS. Such knowledge is critical to model complex biogeochemical processes that regulate phytoplankton production and the biological pump. It is also worthy of note that the PS coccolithophore populations are at the western edge of a southern hemisphere belt of enhanced coccolithophores thought to extend from the southern tip of South America to waters south of Australia, (~180 degrees of longitude).

The burning of fossil fuels is predicted to increase atmospheric CO2 to 750 p.p.m.v. or more under various future scenarios. As a large fraction of the anthropogenic CO2 diffuses into seawater, the ocean is becoming more acidic; it is predicted that the pH of the surface ocean will drop by up to 0.7 units by year 2300, a 5-fold increase in the proton concentration. A major goal is to examine the effects of ocean acidification on coccolithophores, in a region of low calcite saturation. This study will provide the first detailed analysis of the coccolithophores in this enormous area of high suspended calcite water. The results will be highly relevant to our basic understanding of the marine carbon cycle.

Financial support for the participating UK scientists was also provided by the Luminescence and Marine Plankton project funded by the Defence Science and Technology Laboratory under the Joint Grant Scheme programme via Proposal Ref. 1166 to Dr. John Allen.

COPOAS'08 Cruise Report



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Program Information

Ocean Carbon and Biogeochemistry (OCB)


Coverage: Global


The Ocean Carbon and Biogeochemistry (OCB) program focuses on the ocean's role as a component of the global Earth system, bringing together research in geochemistry, ocean physics, and ecology that inform on and advance our understanding of ocean biogeochemistry. The overall program goals are to promote, plan, and coordinate collaborative, multidisciplinary research opportunities within the U.S. research community and with international partners. Important OCB-related activities currently include: the Ocean Carbon and Climate Change (OCCC) and the North American Carbon Program (NACP); U.S. contributions to IMBER, SOLAS, CARBOOCEAN; and numerous U.S. single-investigator and medium-size research projects funded by U.S. federal agencies including NASA, NOAA, and NSF.

The scientific mission of OCB is to study the evolving role of the ocean in the global carbon cycle, in the face of environmental variability and change through studies of marine biogeochemical cycles and associated ecosystems.

The overarching OCB science themes include improved understanding and prediction of: 1) oceanic uptake and release of atmospheric CO2 and other greenhouse gases and 2) environmental sensitivities of biogeochemical cycles, marine ecosystems, and interactions between the two.

The OCB Research Priorities (updated January 2012) include: ocean acidification; terrestrial/coastal carbon fluxes and exchanges; climate sensitivities of and change in ecosystem structure and associated impacts on biogeochemical cycles; mesopelagic ecological and biogeochemical interactions; benthic-pelagic feedbacks on biogeochemical cycles; ocean carbon uptake and storage; and expanding low-oxygen conditions in the coastal and open oceans.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)
Defence Science and Technology Laboratory (DSTL)
National Aeronautics & Space Administration (NASA)

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