Contributors | Affiliation | Role |
---|---|---|
DiTullio, Giacomo | College of Charleston - Hollings Marine Lab (CoC-HML) | Principal Investigator |
McKee, Theresa | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Water-column nutrients and CTD data from CORSACS 1 cruise (NBP-0601) and CORSACS2 cruise (NBP-0608) to the Ross Sea in 2005 and 2006.
Collection of these data was funded by the NSF Office of Polar Programs as "Collaborative Research: Interactive Effects of Iron, Light and Carbon Dioxide on Phytoplankton Community Dynamics in the Ross Sea", NSF Award OPP-0338097.
Hydrographic reports on sampling and analytical methodology for both cruises can be found at the following website:
ftp://pangea.stanford.edu/pub/dunbar/CORSACSHydrographyReports/
Reported here are Conductivity, Temperature, Depth (CTD), C system, oxygen, and nutrient data from the CORSACS I & II cruises, which were collected aboard the Research Vessel Ice Breaker (RVIB) Nathaniel B. Palmer.
The RVIB Nathaniel B. Palmer is equipped with a SeaBird Electronics Model SBE- 911plus conductivity, temperature, and depth instrument, which is mounted on a SeaBird, epoxy coated 24-bottle rosette sampler. The sampler is equipped with a SeaBird pylon and 10-liter Bullister bottles.
Water samples were drawn in accord with Joint Global Ocean Flux Study (JGOFS) protocols [SCOR, 1994]and Nutrient samples were analyzed on a Lachat Quickchem FIA+, series 8000, a bench-top instrument. High precision pH determinations were made following the spectrophotometric method described in SOP7 of Dickson and Goyet (1994).
Salinity samples were analyzed using a Guildline 8400 Autosal four-electrode salinometer (S/N NSF 04504) aboard the RVIB Nathaniel B. Palmer. Discrete dissolved oxygen (DO) measurements were made with a Lamont-Doherty Earth Observatory amperometric oxygen titrator titration system [Langdon, 2003; Culberson and Huang, 1987].
Samples for Carbon analysis were collected in accordance with JGOFS protocols (Dickson and Goyet 1994) and were measured by infrared absorption analysis of CO2 in a nitrogen gas stream using an automated injection system connected to an infrared gas analyzer (LI-COR LI7000).
Important note: cast 35 on NBP06-08 was a 'ghost' CTD, that is no bottle samples were drawn. Some folks didn't realize that, so some data sets list stations 36 through 36+N as stations 35 through 35+N, where N is some unspecified number of casts, not always all remaining casts. This means it is very difficult to match measurements from other data sets with the hydro bottle data.
BCO-DMO processing note:
2010-Sep-09: NBP0601 station 21 year_day value corrected from 366.01xx to 1.01xx (this parameter was named Julian in the original contributed Excel file)
Parameter | Description | Units |
cruise_id | ship's cruise designation | dimensionless |
date_local | local date of sampling | YYYYMMDD |
time_local | local time of sampling | hhmm |
year_day | day of year for a specified year as a decimal | dimensionless |
lat | latitude; North is positive, South is negative | decimal degrees |
lon | longitude; East is positive, West is negative | decimal degrees |
sta | station number | dimensionless |
bot | bottle number | dimensionless |
sample_label | sample number composed of cruise, station and bottle | dimensionless |
depth | depth | meters |
temp | temperature | degrees Celsius |
cond | conductivity | Siemens per meter |
sal | salinity from CTD sensor | practical salinity units (PSU) |
sal_bottle | salinity from bottle by Autosal system | practical salinity units (PSU) |
sal_diff | salinity difference; Autosal minus CTD sensor | practical salinity units (PSU) |
sal_merged | salinity merged from Autosal and CTD sensor | practical salinity units (PSU) |
sigma_t | sigma-t density | kilograms per meter cubed - 1000 |
O2sat | oxygen saturation | milliliters per liter |
O2_volts | oxygen from CTD sensor | volts |
O2 | oxygen from CTD sensor | milliliters per liter |
O2_bot | oxygen; from bottle by Winkler method | milliliters per liter |
O2_diff | oxygen difference; Winkler method minus CTD sensor | milliliters per liter |
O2_umol_kg | oxygen; from CTD sensor | micromoles per kilogram |
fluor | fluorescence, FIECO-AFL | volts |
PAR | Photosynthetically Available Radiation (PAR) | microeinsteins per meter2 per second |
PAR_surface | surface PAR | microeinsteins per meter2 per second |
DIC | dissolved inorganic Carbon | micromoles per kilogram |
pH | pH; by colorimetric analysis | pH units |
DIC_dC13 | dissolved inorganic Carbon from C13 | per mil (ppt) |
PO4 | dissolved inorganic phosphate concentration | micromoles per liter |
NO2 | dissolved nitrite concentration | micromoles per liter |
NO3_NO2 | dissolved nitrate plus nitrite concentration | micromoles per liter |
NH4 | dissolved ammonium concentration | micromoles per liter |
Si_acid | dissolved silicic acid concentration | micromoles per liter |
NO3 | dissolved nitrate concentration | micromoles per liter |
PON | Particulate Organic Nitrogen | percent |
POC | Particulate Organic Carbon | percent |
dN15_POM | Nitrogen 15 to Nitrogen 14 ratio | per mil (ppt) |
dC13_POM | Carbon 13 to Carbon 12 ratio | per mil (ppt) |
C_to_N | carbon to nitrogen ratio | dimensionless |
PON_ug_L | Particulate Organic Nitrogen | micrograms per liter |
POC_ug_L | Particulate Organic Carbon | micrograms per liter |
temp_0 | temperature; CTD sensor 0 | degrees Celsius |
temp_1 | temperature; CTD sensor 1 | degrees Celsius |
potemp_1 | potential temperature; CTD sensor 1 | degrees Celsius |
cond_0 | conductivity; CTD sensor 0 | Siemens per meter |
cond_1 | conductivity; CTD sensor 1 | Siemens per meter |
O2_volts_0 | oxygen in volts; CTD sensor 0 | volts |
O2_volts_1 | oxygen; CTD sensor 1 | volts |
O2_0 | oxygen; CTD sensor 0 | milliliters per liter |
O2_1 | oxygen; CTD sensor 1 | milliliters per liter |
O2_0_umol_kg | dissolved oxygen; CTD sensor 0 (primary) | micromoles per kilogram |
O2_1_umol_kg | oxygen; CTD sensor 1 | micromoles per kilogram |
O2_1_PS | unknown | unknown |
Dataset-specific Instrument Name | Autosal salinometer |
Generic Instrument Name | Autosal salinometer |
Dataset-specific Description | Salinity samples were analyzed using a Guildline 8400 Autosal four-electrode
salinometer (S/N NSF 04504) aboard the RVIB Nathaniel B. Palmer. |
Generic Instrument Description | The salinometer is an instrument for measuring the salinity of a water sample. |
Dataset-specific Instrument Name | CTD Sea-Bird 911 |
Generic Instrument Name | CTD Sea-Bird 911 |
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. |
Dataset-specific Instrument Name | LI-COR LI-7000 Gas Analyzer |
Generic Instrument Name | LI-COR LI-7000 Gas Analyzer |
Dataset-specific Description | Samples for Carbon analysis were collected in accordance with JGOFS protocols (Dickson and Goyet 1994) and were measured by infrared absorption analysis of CO2 in a nitrogen gas stream using an automated injection system connected to an infrared gas analyzer (LI-COR LI7000). |
Generic Instrument 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. |
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 | Oyxgen Titrator -Langdon |
Generic Instrument Name | Oyxgen Titrator -Langdon |
Dataset-specific Description | Discrete dissolved oxygen (DO) measurements were made with a Lamont-Doherty Earth Observatory amperometric oxygen titrator titration system [Langdon, 2003; Culberson and Huang, 1987]. |
Generic Instrument Description | A Langdon Oyxgen Titrator is an amperometric oxygen titration system developed to measure dissolved oxygen in seawater. The device uses a conventional polarographic electrode in connection with chronoamperometry to overcome many of the problems limiting the performance of oxygen electrodes. Reproducibility is typically better than +/- 0.8 micromolar and essentially drift-free for several weeks. A microcomputer controls all phases of the measuring process: pulse generation, data acquisition, reduction, and storage. Software is used to correct sensor output for temperature dependence and an activity coefficient, a function of temperature and salinity, is computed to correct for salinity. (Langdon, 1984. Deep Sea Research Part A. Oceanographic Research Papers, Volume 31, Issue 11, pp. 1357-1367; Culberson and Huang, 1987. Automated amperometric oxygen titration. Deep Sea Res. 34:875-880). |
Website | |
Platform | RVIB Nathaniel B. Palmer |
Report | |
Start Date | 2005-12-17 |
End Date | 2006-01-30 |
Description | This was the first of two Controls of Ross Sea Algal Community Structure (CORSACS) project cruises and was funded by the NSF Office of Polar Programs. The NBP0601 cruise was conducted in the Ross Sea in December 2005 and January 2006, Ross Sea, ca. 65.21°S-78.65°S, 164.98°E-164.70°W, and supported by NSF research grant, OPP-0338097. The 'Science Pan and Project Description' document includes details of the cruise sampling strategy.
Related Files:
Science Plan and Project Descriptions (PDF file)
Cruise track map (PDF file)
Photo of Ice Breaker Nathaniel B. Palmer on station near Beaufort Island (JPG image)
Related Sites:
MGDS catalog: http://www.marine-geo.org/tools/search/entry.php?id=NBP0601 Methods & Sampling CORSACS I The RVIB Nathaniel B. Palmer departed Lyttleton, New Zealand at December 18, 2005 and arrived at station #000 on December 24, 2005 at 00:07 UTC. The cruise track proceeded into the Ross Sea polynya where a total of 102 hydrographic stations were occupied through late January, 2006. Sampling and analytical methods are described in full in the CORSACS-I Cruise Report CORSACS I Cruise Report |
Website | |
Platform | RVIB Nathaniel B. Palmer |
Report | |
Start Date | 2006-11-01 |
End Date | 2006-12-15 |
Description | This was the second of two Controls of Ross Sea Algal Community Structure (CORSACS) project cruises and was funded by the NSF Office of Polar Programs. The NBP0608 cruise was conducted in the Ross Sea in November and December 2006, ca. 65.21°S-78.65°S, 164.98°E-164.70°W.
Related files:
Cruise track map (PDF file)
Related Sites:
MGDS catalog: http://www.marine-geo.org/tools/search/entry.php?id=NBP0608 Methods & Sampling CORSACS II The RVIB Nathaniel B. Palmer departed Lyttleton, New Zealand at November 1, 2006 and arrived at station #001 on November 8, 2006 at 00:51 UTC. The cruise track proceeded into the Ross Sea polynya where a total of 74 hydrographic stations were occupied through December 6, 2006. Sampling and analytical methods are described in full in the CORSACS-II Cruise Report CORSACS II Cruise Report |
The Controls of Ross Sea Algal Community Structure (CORSACS) project was funded by the NSF Office of Polar Programs as "Collaborative Research: Interactive Effects of Iron, Light and Carbon Dioxide on Phytoplankton Community Dynamics in the Ross Sea". Two cruises were completed in 2006 to investigate the interactions between the primary productivity of the Ross Sea and pCO2, iron and other trace elements. Data sets of carbon, nutrient, metal, and biological measurements will be reported.
The main objective in the proposed research was to investigate the relative importance and potential interactive effects of iron, light and CO2 levels in structuring algal assemblages and growth rates in the Ross Sea. The investigators hypothesized that the interaction of these three variables largely determines the bottom-up control on these two dominant Southern Ocean phytoplankton taxa. While grazing and other loss processes are important variables in determining the relative dominance of these two taxa, the CORSACS research project was designed to focus on the bottom-up control mechanisms. It is important to understand such environmentally-driven taxonomic shifts in primary production, since they are expected to impact the fixation and export of carbon and nutrients, and the production of DMS, thus potentially providing both positive and negative feedbacks on climate.
The CORSACS investigators considered a range of ambient iron, light and pCO2 levels that span those typically observed in the Ross Sea during the growing season. That is, dissolved iron ranging from ~0.1 nM (low iron) to greater than 1 nM (high iron) (Fitzwater et al. 2000; Sedwick et al. 2000); mean irradiance (resulting from vertical mixing/self shading) ranging from less than 10% Io (low light) to greater than 40% (high light) (Arrigo et al., 1998, 1999), possibly adjusted based on field observations during the CORSACS cruises; and pCO2 ranging (Sweeney et al. 2001) from ~150 ppm (low CO2) to the probable higher levels of pCO2 - 750 ppm as a conservative estimate - that are likely to be attained later this century due to anthropogenic perturbation of the global carbon cycle (IPCC, 2001).
From the information previously available from both field observations and experiments, the investigators formulated the following specific hypotheses regarding the interactive role of iron, light and CO2 in regulating algal composition in the Ross Sea: diatoms bloom in the southern Ross Sea only under optimum conditions of high iron, light and pCO2; colonial Phaeocystis dominate under conditions of high iron with either (or both) low light or low pCO2; and solitary Phaeocystis are predominant under conditions of low iron with either (or both) low light or low pCO2.
Fitzwater, S.E., K.S. Johnson, R.M. Gordon, K.H. Coale, and W.O. Smith, Jr. (2000). Trace metal concentrations in the Ross Sea and their relationship with nutrients and growth. Deep-Sea Research II, 47: 3159-3179.
Martin JH, Gordon RM, Fitzwater SE. Iron in Antarctic waters. Nature 1990 ;345(6271):156-158. Martin JH. 1990. Glacial-interglacial CO2 change: The iron hypothesis. Paleoceanography 5(1):1-13
P. N. Sedwick, G. R. DiTullio, and D. J. Mackey, Iron and manganese in the Ross Sea, Antarctica: Seasonal iron limitation in Antarctic shelf waters, Journal of Geophysical Research, 105 (C5), 11,321-11,336, 2000.
Sweeney, C. K. Arrigo, and G. van Gijken (2001). Prediction of seasonal changes in surface pCO2 in the Ross Sea, Antarctica using ocean color satellite data. 2001 Annual AGU meeting, San Fransisco, CA Dec. 10-15.
IPCC, 2001: Climate Change 2001: Synthesis Report. A Contribution of Working Groups I, II, and III to the Third Assessment Report of theIntegovernmental Panel on Climate Change [Watson, R.T. and the Core Writing Team (eds.)]. Cambridge University Press, Cambridge,United Kingdom, and New York, NY, USA, 398 pp.
Publications
Saito, M. A., Goepfert, T. J., Noble, A. E., Bertrand, E. M., Sedwick, P. N., and DiTullio, G. R.: A seasonal study of dissolved cobalt in the Ross Sea, Antarctica: micronutrient behavior, absence of scavenging, and relationships with Zn, Cd, and P, Biogeosciences, 7, 4059-4082, doi:10.5194/bg-7-4059-2010, 2010 (http://www.biogeosciences.net/7/4059/2010/bg-7-4059-2010.html)
Bertrand EM, Saito MA, Lee PA, Dunbar RB, Sedwick PN and DiTullio GR (2011) Iron limitation of a springtime bacterial and phytoplankton community in the Ross Sea: implications for vitamin B12 nutrition. Front. Microbio. 2:160. doi: 10.3389/fmicb.2011.00160 (http://www.frontiersin.org/Aquatic_Microbiology/10.3389/fmicb.2011.00160/abstract)
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.
Funding Source | Award |
---|---|
NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) |