Survey biogeochemical data from R/V Atlantis AT32, AT34, AT38, and AT39-06 in the western North Atlantic Ocean (35°N to 57°N; 45°W) in Nov. 2015, May 2016, Sep 2017, Mar/Apr 2018

Website: https://www.bco-dmo.org/dataset/659131
Data Type: Cruise Results
Version: 2
Version Date: 2020-09-14

Project
» Tracking the temporal and spatial variability of dissolved organic matter, its diagenetic state and bioavailability during various bloom states in the North Atlantic (DOM_SeasonalDynamics)

Program
» North Atlantic Aerosols and Marine Ecosystems Study (NAAMES)
ContributorsAffiliationRole
Carlson, Craig A.University of California-Santa Barbara (UCSB-MSI)Principal Investigator
Copley, NancyWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
This dataset includes analyses from Niskin bottle samples collected on R/V Atlantis cruises AT32, AT34, AT38 and AT39-6 as part of the NASA NAAMES campaign (2015-2018). Reported are survey biogeochemical including dissolved organic carbon, dissolved organic nitrogen, total dissolved amino acids.


Coverage

Spatial Extent: N:56.341 E:-37.514 S:39.187 W:-46.148
Temporal Extent: 2015-11-12 - 2018-04-05

Dataset Description

This dataset includes analyses from Niskin bottle samples collected on R/V Atlantis cruises AT32, AT34, AT38 and AT39-6 as part of the NASA NAAMES campaign (2015-2018). Reported are survey biogeochemical  including dissolved organic carbon, dissolved organic nitrogen, total dissolved amino acids.


Methods & Sampling

Samples were collected on RV/Atlantis cruises in the North Atlantic between November 2015 and April 2018. Bacterial abundance was determined by flow cytometry on AT32 and by direct microscope counts for the rest of the cruises (AT34, AT38, AT39-6). Amino acid analysis was conducted for cruises AT34, AT38, and AT39-06.

Dissolved organic carbon DOC) and total dissolved nitrogen (TDN): See Supplemental Files.
Carlson C, Hansell D, Nelson N, Siegel D, Smethie W, Khatiwala S et al. (2010). Dissolved organic carbon export and subsequent remineralization in the mesopelagic and bathypelagic realms of the North Atlantic basin. Deep Sea Res Part II: Topical Stud Oceanogr 57: 1433–1445.

Bacterial production by Leucine Incorporation: See Supplemental Files.
Smith, D.C. and F. Azam (1992). A simple, economical method for measuring bacterial protein synthesis rates in seawater using 3H-leucine. Marine Microbial Food Webs 6:107-114.

Bacterioplankton abundance by flow cytometry: See Supplemental Files.
Nelson, C.E., A.L. Alldredge, E.A. McCliment, L.A. Amaral-Zettler, and C.A. Carlson. 2011. Depleted dissolved organic carbon and distinct Bacterial communities in the water column of a rapid-flushing coral reef ecosystem. The ISME Journal 5: 1374–1387. doi:10.1038/ismej.2011.12

Bacterioplankton abundance by DAPI DNA binding stain and epifluorescence microscopy: See Supplemental Files.
BATS Methods Manual. Chapter 17. Determination of Bacterial Abundance.Updated by K.Orcutt 4/1997, pp. 111-114.version 4.

Amino acid concentration using HPLC: See  Supplemental Files (includes reference list.)


Data Processing Description

BCO-DMO Processing:
- added conventional header with dataset name, PI name, version date
- replaced blank cells and those with -999 with 'nd' (no data)
 


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Data Files

File
biogeochem_all.csv
(Comma Separated Values (.csv), 977.59 KB)
MD5:4444e94b5e8f660a491ee44f6ad0b2d4
Primary data file for dataset ID 659131

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Supplemental Files

File
Bacterial abundance using DAPI DNA binding stain and Epifluorescence microscopy
filename: Bacterial_Abundance_using_DAPI_DNA_binding_stain_and_EFM.pdf
(Portable Document Format (.pdf), 367.91 KB)
MD5:bcc7f60bea95a080fe056e1bb095536e
C. Carlson [version date: 2017-08-29]
Determination of Amino Acid Concentrations using HPLC
filename: Method-total_dissolved_amino_acids_Carlson_2020-08-19.pdf
(Portable Document Format (.pdf), 435.78 KB)
MD5:fd43f2485298a9bde730c64b516f56cc
This procedure describes the measurement of total dissolved amino acids (TDAA) and its 18 constituents using high performance liquid chromatography (HPLC). Craig Carlson [2018-10-30]
Flow Cytometry Protocol for Determination of Bacterial Abundance
filename: Flow_Cytometry_Protocol_for_Determination_of_Bacterial_Abundance.pdf
(Portable Document Format (.pdf), 369.15 KB)
MD5:d44db238e643d3f4828a732ee3447215
Flow Cytometry Protocol for Determination of Bacterial Abundance
Craig Carlson [version date: 2017-08-29]
Protocol: Bacterial Production Rates via 3H-Leucine incorporation
filename: Microcentrifuge_Method_for_Bacterial_Production_Rates_via_3H-Leucine_incorp.pdf
(Portable Document Format (.pdf), 445.74 KB)
MD5:08a05d9a15af3ba56cabb7836296f99f
Microcentrifuge Method Protocol for
Determination of Bacterial Production Rates via 3H-Leucine incorporation. Craig Carlson [version date: 2017-08-29]
Protocols for Dissolved Organic Carbon and Total Dissolved Nitrogen Analysis
filename: DOC_TDN_method_Carlson.pdf
(Portable Document Format (.pdf), 258.09 KB)
MD5:46973edce747f7f77099db51ac36acfa
Version date: 2017-10-10. UCSB - CRAIG CARLSON. v

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Related Publications

BATS Methods Manual. Chapter 17. Determination of Bacterial Abundance.Updated by K.Orcutt 4/1997, pp. 111-114.version 4. http://eprints.soton.ac.uk/id/eprint/361194 http://eprints.soton.ac.uk/id/eprint/361194#chapter17
Methods
Baetge, N., Graff, J. R., Behrenfeld, M. J., & Carlson, C. A. (2020). Net Community Production, Dissolved Organic Carbon Accumulation, and Vertical Export in the Western North Atlantic. Frontiers in Marine Science, 7. doi:10.3389/fmars.2020.00227
Results
Carlson, C. A., Hansell, D. A., Nelson, N. B., Siegel, D. A., Smethie, W. M., Khatiwala, S., Meyers, M. M., Halewood, E. (2010). Dissolved organic carbon export and subsequent remineralization in the mesopelagic and bathypelagic realms of the North Atlantic basin. Deep Sea Research Part II: Topical Studies in Oceanography, 57(16), 1433–1445. doi:10.1016/j.dsr2.2010.02.013
Methods
Halewood, E., Carlson, C., Brzezinski, M., Reed, D., & Goodman, J. (2012). Annual cycle of organic matter partitioning and its availability to bacteria across the Santa Barbara Channel continental shelf. Aquatic Microbial Ecology, 67(3), 189–209. doi:10.3354/ame01586
Methods
James, A. K., Passow, U., Brzezinski, M. A., Parsons, R. J., Trapani, J. N., & Carlson, C. A. (2017). Elevated pCO2 enhances bacterioplankton removal of organic carbon. PLOS ONE, 12(3), e0173145. doi:10.1371/journal.pone.0173145
Methods
Liu, S., Parsons, R., Opalk, K., Baetge, N., Giovannoni, S., Bolaños, L. M., Kujawinski, E. B., Longnecker, K., Lu, Y., Halewood, E., & Carlson, C. A. (2020). Different carboxyl‐rich alicyclic molecules proxy compounds select distinct bacterioplankton for oxidation of dissolved organic matter in the mesopelagic Sargasso Sea. In Limnology and Oceanography (Vol. 65, Issue 7, pp. 1532–1553). Wiley. https://doi.org/10.1002/lno.11405
Methods
Nelson, C. E., Alldredge, A. L., McCliment, E. A., Amaral-Zettler, L. A., & Carlson, C. A. (2011). Depleted dissolved organic carbon and distinct bacterial communities in the water column of a rapid-flushing coral reef ecosystem. The ISME Journal, 5(8), 1374–1387. doi:10.1038/ismej.2011.12
Methods
Porter, K. G., & Feig, Y. S. (1980). The use of DAPI for identifying and counting aquatic microflora. Limnology and Oceanography, 25(5), 943–948. doi:10.4319/lo.1980.25.5.0943
Methods
Smith, D.C. and F. Azam (1992). A simple, economical method for measuring bacterial protein synthesis rates in seawater using 3H-leucine. Marine Microbial Food Webs 6:107-114 http://www.gso.uri.edu/dcsmith/page3/page19/assets/smithazam92.PDF
Methods

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Parameters

ParameterDescriptionUnits
CruiseCruise unitless
StationStation unitless
TypeSample Type (ODV format) unitless
Time_StampDate/Time (ODV format); formatted as ISO_DateTime yyyy-mm-ddThh:mm or yyyy-mm-ddT unitless
LatitudeLatitude; north is positive decimal degrees
LongitudeLongitude; east is positive decimal degrees
Bottom_ZBottom Depth meters
CruiseCNCast number according to CTD/Bottle log sheets (cruise sequential cast number) unitless
SCNCast numbers restart at each station i.e. for Station x; Biology Cast 1 = SxC1; Biology Cast 2 = SxC2; Deep Cast 1 =SxC3; Deep Cast 2 = SxC4 (station sequential cast number) unitless
CampCNCast numbers carried through the entire NAAMES campaign; never resetting for an individual cruise nor station (campaign sequential cast number) unitless
NiskinNiskin Number unitless
Cast_TypeBiology; Deep; Shallow (does not fit Biology or Deep cast scheme); Microlayer unitless
Target_ZTarget Depth according to CTD/Bottle log sheets meters
PressurePressure from Digiquartz sensor decibars (db)
Density00Density; 1st sensor kilograms/meter^3 (kg/m3)
Density11Density; 2nd sensor kilograms/meter^3 (kg/m3)
Sal11Salinity; 2nd Sensor Practical Salinity Units (psu)
SoundVelSound velocity; 1st sensor meters/second (m/s)
SoundVel1Sound velocity; 2nd sensor meters/second (m/s)
Oxygen_uMOxygen; 1st sensor micromol/liter (umol/l)
Oxygen_VOxygen; 1st sensor; voltage volts (V)
TemperatureTemperature; 1st sensor degrees C
Temperature1Temperature; 2nd sensor degrees C
ConductivityConductivity; 1st sensor Siemans/meter (S/m)
Conductivity1Conductivity; 2nd sensor Siemans/meter (S/m)
BeamTBeam Transmission; 1st Sensor percent
BeamAtBean Attenuation; 1st sensor per meter
FluorescenceFluorescence; 1st sensor milligrams/meter^3 (mg/m3)
TurbidityTurbidity; 1st sensor Nephelometric Turbidity Units (NTU)
TOCTotal Organic Carbon; Method: High temperature combustion/oxidation (HTCO) (Carlson et al; 2010) micromol carbon/liter (umol C/L)
TOC_QFTotal Organic Carbon Quality Flag: 1 sample taken; 2 acceptable measurement; 3 Questionable measurement; 4 Bad measurement; 5 not reported; 9 no sample drawn unitless
TOC_sdTotal Organic Carbon Standard Deviation micromol carbon/liter (umol C/L)
DOCDissolved Organic Carbon; Method: High temperature combustion/oxidation (HTCO). Glass fiber filtrate type GF/F (Whatman) (Carlson et al; 2010) micromol carbon/liter (umol C/L)
DOC_QFDissolved Organic Carbon Quality Flag: WOCE Quality Flags (QF): 1 sample taken; 2 acceptable measurement; 3 Questionable measurement; 4 Bad measurement; 5 not reported; 9 no sample drawn unitless
DOC_sdDissolved Organic Carbon Standard Deviation micromol carbon/liter (umol C/L)
TDNTotal Dissolved Nitrogen micromol nitrogen/liter (umol N/L)
TDN_QFTotal Dissolved Nitrogen Quality Flag: WOCE Quality Flags (QF): 1 sample taken; 2 acceptable measurement; 3 Questionable measurement; 4 Bad measurement; 5 not reported; 9 no sample drawn unitless
TDN_sdTotal Dissolved Nitrogen Standard Deviation micromol nitrogen/liter (umol N/L)
BactProdBacterial Production by 3H Leu uptake (Smith & Azam; 1992) picomol Leucine/liter/hour (pmol Leu /L/h)
BactProd_QFBacterial Production Quality Flag:WOCE Quality Flags (QF): 1 sample taken; 2 acceptable measurement; 3 Questionable measurement; 4 Bad measurement; 5 not reported; 9 no sample drawn unitless
BactProd_sdBacterial Production Standard Deviation picomol Leucine/liter/hour (pmol Leu /L/h)
BactAbundBacterial abundance by epifluorescent microscopy and flow cytometry (Porter & Feig,1980; Halewood et al, 1980) 10^8 cells/liter (E8 cells/L)
BactAbund_QFBacterial Abundance; Quality Flag: 1 sample taken; 2 acceptable measurement; 3 Questionable measurement; 4 Bad measurement; 5 not reported; 9 no sample drawn unitless
BactAbund_sdBacterial Standard Deviation 10^8 cells/liter (E8 cells/L)
TDAATotal Dissolved Amino Acids by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
TDAA_QFTotal Dissolved Amino Acids Quality Flag: 1 sample taken; 2 acceptable measurement; 3 Questionable measurement; 4 Bad measurement; 5 not reported; 9 no sample drawn unitless
TDAA_sdTotal Dissolved Amino Acids Standard Deviation nanomolar (nM)
AspAspartic Acid concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
GluGlutamic Acid concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
HisHistadine concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
SerSerine concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
ArgArginine concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
ThrThreonine concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
GlyGlycine concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
TauTaurine concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
BalaBeta-alanine concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
TyrTyrosine concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
AlaAlanine concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
GABAGamma-aminobutyric acid concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
MetMethionine concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
ValValine concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
PhePhyenylalanine concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
IleIsoleucine concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
LeuLeucine concentration by High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
LysLysine by concentration High performance liquid chromatography (HPLC) (Liu et al; 2020) nanomolar (nM)
file_nameAll cruise data tables were combined into one table. This is the original file name. unitless


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Instruments

Dataset-specific Instrument Name
Generic Instrument Name
GO-FLO Bottle
Dataset-specific Description
For water sample collection
Generic Instrument Description
GO-FLO bottle cast used to collect water samples for pigment, nutrient, plankton, etc. The GO-FLO sampling bottle is specially designed to avoid sample contamination at the surface, internal spring contamination, loss of sample on deck (internal seals), and exchange of water from different depths.

Dataset-specific Instrument Name
Generic Instrument Name
Niskin bottle
Dataset-specific Description
For water sample collection
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
Dionex ICS 5000+
Generic Instrument Name
High-Performance Liquid Chromatograph
Dataset-specific Description
Used for amino acid concentration measurements.
Generic Instrument Description
A High-performance liquid chromatograph (HPLC) is a type of liquid chromatography used to separate compounds that are dissolved in solution. HPLC instruments consist of a reservoir of the mobile phase, a pump, an injector, a separation column, and a detector. Compounds are separated by high pressure pumping of the sample mixture onto a column packed with microspheres coated with the stationary phase. The different components in the mixture pass through the column at different rates due to differences in their partitioning behavior between the mobile liquid phase and the stationary phase.

Dataset-specific Instrument Name
Generic Instrument Name
Shimadzu TOC-V Analyzer
Dataset-specific Description
Used to measure dissolved organic carbon (DOC) and total dissolved nitrogen (TDN). Shimadzu TOC-V analyzers (Shimadzu Scientific Instruments, Columbia, MD, USA) were slightly modified from the manufacturer’s model system. The condensation coil was removed and the head space of an internal water trap was reduced to minimize system dead space. The combustion tube contained 0.5 cm Pt pillows placed on top of Pt alumina beads to improve peak shape and to reduce alteration of the combustion matrix throughout the analytical run. CO2-free carrier gas was delivered to the TOC-V systems via commercial ultra high purity gas cylinders or a Whatmans gas generator. A magnesium perchlorate trap was added to the existing water and halide traps to ensure removal of water vapor from the gas line prior to entering a nondispersive infrared detector. The resulting peak area was integrated with Shimadzu chromatographic software.
Generic Instrument Description
A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method.

Dataset-specific Instrument Name
Hidex 300 Liquid Scintillation Analyzer
Generic Instrument Name
Liquid Scintillation Counter
Dataset-specific Description
For microcentrifuge method protocol for determination of bacterial production rates via 3H-Leucine incorporationEnergy window settings: Channel A: 0-19 KeV Channel B: 2-19 KeV
Generic Instrument Description
Liquid scintillation counting is an analytical technique which is defined by the incorporation of the radiolabeled analyte into uniform distribution with a liquid chemical medium capable of converting the kinetic energy of nuclear emissions into light energy. Although the liquid scintillation counter is a sophisticated laboratory counting system used the quantify the activity of particulate emitting (ß and a) radioactive samples, it can also detect the auger electrons emitted from 51Cr and 125I samples.

Dataset-specific Instrument Name
BD LSR II equipped with a BD High Throughput Sampler (HTS) - Biosciences, San Jose, CA, USA
Generic Instrument Name
Flow Cytometer
Dataset-specific Description
Used to measure bacterial abundance. Flow cytometer equipped with a high throughput sampler, coherent sapphire 488nm laser and a default suite of six detectors (side-scatter and forward-scatter photodiodes and green, orange, red and far-red photomultipliers).
Generic Instrument Description
Flow cytometers (FC or FCM) are automated instruments that quantitate properties of single cells, one cell at a time. They can measure cell size, cell granularity, the amounts of cell components such as total DNA, newly synthesized DNA, gene expression as the amount messenger RNA for a particular gene, amounts of specific surface receptors, amounts of intracellular proteins, or transient signalling events in living cells. (from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm)

Dataset-specific Instrument Name
Olympus BX51 Epiflourescence Microscope
Generic Instrument Name
Fluorescence Microscope
Dataset-specific Description
For bacterial abundance estimates
Generic Instrument Description
Instruments that generate enlarged images of samples using the phenomena of fluorescence and phosphorescence instead of, or in addition to, reflection and absorption of visible light. Includes conventional and inverted instruments.

Dataset-specific Instrument Name
Generic Instrument Name
Centrifuge
Dataset-specific Description
For measurement of bacterial production.
Generic Instrument Description
A machine with a rapidly rotating container that applies centrifugal force to its contents, typically to separate fluids of different densities (e.g., cream from milk) or liquids from solids.


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Deployments

AT32

Website
Platform
R/V Atlantis
Start Date
2015-11-06
End Date
2015-12-01
Description
North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) cruise

AT34

Website
Platform
R/V Atlantis
Start Date
2016-05-11
End Date
2016-06-05
Description
Part of the 'North Atlantic Aerosols and Marine Ecosystems Study' (NAAMES) project

AT38

Website
Platform
R/V Atlantis
Start Date
2017-08-30
End Date
2017-09-22
Description
North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) cruise

AT39-06

Website
Platform
R/V Atlantis
Start Date
2018-03-20
End Date
2018-04-13
Description
Cruise for project "Project: North American Aerosols and Marine Ecosystems Study (NAAMES)".


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Project Information

Tracking the temporal and spatial variability of dissolved organic matter, its diagenetic state and bioavailability during various bloom states in the North Atlantic (DOM_SeasonalDynamics)

Coverage: North Atlantic Ocean (35°N to 57°N; 45°W)


Tracking the temporal and spatial variability of dissolved organic matter, its diagenetic state and bioavailability during various bloom states in the North Atlantic
Craig Carlson
ID: 1537943

The North Atlantic phytoplankton bloom is among the most conspicuous biological events annually recorded. This bloom represents a hot spot of biological activity during which a significant amount of dissolved organic matter is produced through bloom-associated food web processes. While recent work has shed some light on the spatial distribution of dissolved organic matter during the North Atlantic bloom, temporal resolution of dissolved organic matter variability in the context of the North Atlantic bloom is lacking. This project aims to understand the temporal and spatial dynamics of dissolved organic matter, its compositional variability, as well as the mechanisms that control its accumulation, persistence and export in the North Atlantic. This project will leverage a large, recently funded, NASA field-program called the North Atlantic Aerosols and Marine Ecosystem Study (NAAMES) designed to evaluate the fundamental controls of the north Atlantic phytoplankton bloom initiation, its magnitude and interannual variability. Results from this research will provide a mechanistic understanding of carbon cycling in the context of the North Atlantic phytoplankton bloom. The research will be carried out at the University of California ? Santa Barbara, a Hispanic-serving institution, and will involve educational opportunities for students from elementary through graduate school.

Recent work examining the spatial distribution of dissolved organic matter in the North Atlantic coupled to measurements of water mass ventilation rates has estimated that a significant amount of carbon is vertically exported out of the surface ocean to deep waters as dissolved organic matter. However, an overarching gap in dissolved organic matter knowledge is the lack of valuable temporal resolution necessary to investigate the mechanisms that control dissolved organic matter production, accumulation, or its change in quality and bioavailability as a result of changing bloom phases and phytoplankton cycles. This research will examine the temporal and spatial variability of dissolved organic matter dynamics along a repeated meridional transect during four distinct phases associated with the North Atlantic spring phytoplankton bloom including 1) pre-bloom, mixing phase, 2) nutrient-replete, increasing biomass phase, 3) nutrient-stressed decreasing biomass phase, and 4) post bloom stratified phase. This will be accomplished by coupling continuous water column and surface layer ecosystem properties from autonomous in situ sensors, and satellite observations with four 26-day coordinated ship and airborne field campaigns.



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Program Information

North Atlantic Aerosols and Marine Ecosystems Study (NAAMES)


Coverage: North Atlantic Ocean


The North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) is an interdisciplinary investigation resolving key processes controlling marine ecosystems and aerosols that are essential to our understanding of Earth system function and future change. NAAMES is funded by the NASA Earth Venture Suborbital Program and is the first EV-S mission focused on studying the coupled ocean ecosystem and atmosphere.

Plankton ecosystems of the global ocean profoundly affect climate and life on Earth. NASA's ocean color satellite record tells us that these invaluable ecosystems are highly responsive to climate variability, with changes in ocean production impacting food production, uptake of atmospheric carbon dioxide, and emission of climate-regulating aerosols. Intergovernmental Panel on Climate Change (IPCC) simulations suggest that surface ocean temperatures will warm by +1.3 to +2.8 degrees C globally over the 21st century, with major consequences on physical properties of the surface ocean where plankton populations thrive. The pressing question is, how will these changes alter plankton production, species composition, and aerosol emissions? Today, even the sign of these potential changes remains unresolved. Our ability to predict Earth System consequences of a warming ocean and develop realistic mitigation and adaption strategies depends on resolving conflicting hypotheses regarding the factors controlling plankton ecosystems and biogenic aerosol emissions.

NAAMES consists of four, combined ship and aircraft field campaigns that are each aligned to a specific event in the annual plankton lifecycle. Ship-based measurements provide detailed characterization of plankton stocks, rate processes, and community composition. Ship measurements also characterize sea water volatile organic compounds, their processing by ocean ecosystems, and the concentrations and properties of gases and particles in the overlying atmosphere. These diverse data are extended over broader spatial scales through parallel airborne remote sensing measurements and in situ aerosol sampling that target ocean properties as well as the aerosols and clouds above. The airborne data crucially link local-scale processes and properties to the much larger scale continuous satellite record. Integrating the NAAMES observations with state-of-the-art climate and ecosystems models enables the creation of a process-based foundation for resolving plankton dynamics in other ocean regions, accurately interpreting historical satellite records, and improving predictions of future change and their societal impacts.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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