Dissolved nutrient concentrations, High Arctic Ocean, August-September 2018

This project was conducted as a part of a US-Swedish Joint Arctic Research Initiative. The goal of this initiative involved mooring the Ice Breaker (IB) Oden to an ice floe in the inner pack ice in the high Arctic Ocean, and monitoring key oceanic-atmospheric parameters as the ice drifts. The cruise...

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Bibliographic Details
Main Authors: Giacomo DiTullio, Peter Lee
Format: Dataset
Language:unknown
Published: Arctic Data Center 2019
Subjects:
Online Access:https://doi.org/10.18739/A2CN6Z03F
id dataone:doi:10.18739/A2CN6Z03F
record_format openpolar
institution Open Polar
collection Arctic Data Center (via DataONE)
op_collection_id dataone:urn:node:ARCTIC
language unknown
topic EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>AMMONIA
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>BIOGEOCHEMICAL CYCLES
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>NITRATE
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>NITRITE
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>NUTRIENTS
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>PHOSPHATE
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>SILICATE
spellingShingle EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>AMMONIA
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>BIOGEOCHEMICAL CYCLES
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>NITRATE
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>NITRITE
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>NUTRIENTS
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>PHOSPHATE
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>SILICATE
Giacomo DiTullio
Peter Lee
Dissolved nutrient concentrations, High Arctic Ocean, August-September 2018
topic_facet EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>AMMONIA
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>BIOGEOCHEMICAL CYCLES
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>NITRATE
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>NITRITE
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>NUTRIENTS
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>PHOSPHATE
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>SILICATE
description This project was conducted as a part of a US-Swedish Joint Arctic Research Initiative. The goal of this initiative involved mooring the Ice Breaker (IB) Oden to an ice floe in the inner pack ice in the high Arctic Ocean, and monitoring key oceanic-atmospheric parameters as the ice drifts. The cruise timeline (August through September) was chosen to highlight the transitional time period from the summer maximum in microbial biomass to declining stocks as autumn conditions result in lower nutrient and light levels, concomitant with the onset of freezing conditions. Biogenic aerosol production and fluxes are key research parameters in understanding the formation of cloud condensation nuclei (CCN) and their impacts on the radiation budget of the Arctic Ocean. At present, there exists a paucity of data regarding how microbial community composition might change in the high Arctic Ocean, especially with respect to changes in the production of volatile aerosol precursor compounds as pelagic microbial communities replace sympagic communities. Specifically, this project focused on linking microbial community structure with the oceanic-atmosphere fluxes of volatile organic carbon compounds (VOCs) emitted from various oceanic and pack ice ecosystems. The role of diminishing sea ice cover in the Arctic Ocean will significantly impact biogenic aerosol production and fluxes via changes in microbial community structure and the release of VOCs. At present, however, the scarcity of in-situ oceanic VOC measurements available from the high Arctic Ocean prevents the development of robust models correlating phytoplankton biomass with VOCs and their impact on aerosol production. For instance, most current models utilize satellite chlorophyll a (Chla) imagery for estimating phytoplankton biomass (e.g. Gabric et al. 2014; Becagli et al. 2016). It is also well recognized that high concentrations of sea surface chromophoric dissolved organic matter (CDOM) can significantly bias remotely-sensed Chla concentrations, especially when Chla levels are less than 0.5 mg m 3 (Matsuoka et al. 2017). In addition to the bias in estimating in-situ phytoplankton biomass from satellite-derived Chla, the contribution made by oceanic VOC fluxes to the atmospheric aerosol optical depth (e.g. Gabric et al., 2002) is unknown. Moreover, incorrect estimates of the oceanic mixed layer depth (MLD) using climatological datasets and/or subsurface Chla maximum can further compound the errors associated with attempting to correlate phytoplankton integrated water column production with estimates of biomass derived using satellite Chla algorithms (Arrigo et al., 2011). As a result, questions remain regarding the reliability of using Chla estimates as a surrogate to estimate the organic carbon enrichment in submicron marine aerosols (Rinaldi et al. 2013). Hence, models that use satellites over relatively large areal expanses in the Arctic may be biased with regards to estimates of biomass, net primary production and as a result correlations to biogenic aerosol (Arrigo et al., 2011, Becagli et al., 2016). More importantly, however, total Chla biomass is not the only important variable affecting the production of oceanic biogenic VOCs and aerosols. The microbial community composition and physiology will not only affect the cell-specific production rate of precursor biogenic aerosol compounds, but also the secondary transformations of those compounds. Furthermore, determining VOCs or phytoplankton functional groups from space are both fraught with even more difficulty than Chla estimates alone. Consequently, at present, virtually no data exists regarding the suite of VOCs released to the high Arctic atmosphere as a function of the in-situ microbial community composition. This dataset includes nutrient concentrations of samples collected by CTD from August 2 to September 20, 2018. Nutrient availability plays a vital role in influencing the productivity and structure of the microbial community, which in turn impacts the air-sea flux of organic carbon and VOCs.
format Dataset
author Giacomo DiTullio
Peter Lee
author_facet Giacomo DiTullio
Peter Lee
author_sort Giacomo DiTullio
title Dissolved nutrient concentrations, High Arctic Ocean, August-September 2018
title_short Dissolved nutrient concentrations, High Arctic Ocean, August-September 2018
title_full Dissolved nutrient concentrations, High Arctic Ocean, August-September 2018
title_fullStr Dissolved nutrient concentrations, High Arctic Ocean, August-September 2018
title_full_unstemmed Dissolved nutrient concentrations, High Arctic Ocean, August-September 2018
title_sort dissolved nutrient concentrations, high arctic ocean, august-september 2018
publisher Arctic Data Center
publishDate 2019
url https://doi.org/10.18739/A2CN6Z03F
op_coverage High Arctic Ocean
ENVELOPE(5.19,66.12,89.89,82.15)
BEGINDATE: 2018-08-02T00:00:00Z ENDDATE: 2018-09-20T00:00:00Z
long_lat ENVELOPE(-67.257,-67.257,-67.874,-67.874)
ENVELOPE(5.19,66.12,89.89,82.15)
geographic Arctic
Arctic Ocean
Breaker
geographic_facet Arctic
Arctic Ocean
Breaker
genre Arctic
Arctic Ocean
Phytoplankton
Sea ice
genre_facet Arctic
Arctic Ocean
Phytoplankton
Sea ice
op_doi https://doi.org/10.18739/A2CN6Z03F
_version_ 1811920218642972672
spelling dataone:doi:10.18739/A2CN6Z03F 2024-10-03T18:45:45+00:00 Dissolved nutrient concentrations, High Arctic Ocean, August-September 2018 Giacomo DiTullio Peter Lee High Arctic Ocean ENVELOPE(5.19,66.12,89.89,82.15) BEGINDATE: 2018-08-02T00:00:00Z ENDDATE: 2018-09-20T00:00:00Z 2019-10-30T00:00:00Z https://doi.org/10.18739/A2CN6Z03F unknown Arctic Data Center EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>AMMONIA EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>BIOGEOCHEMICAL CYCLES EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>NITRATE EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>NITRITE EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>NUTRIENTS EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>PHOSPHATE EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>SILICATE Dataset 2019 dataone:urn:node:ARCTIC https://doi.org/10.18739/A2CN6Z03F 2024-10-03T18:15:14Z This project was conducted as a part of a US-Swedish Joint Arctic Research Initiative. The goal of this initiative involved mooring the Ice Breaker (IB) Oden to an ice floe in the inner pack ice in the high Arctic Ocean, and monitoring key oceanic-atmospheric parameters as the ice drifts. The cruise timeline (August through September) was chosen to highlight the transitional time period from the summer maximum in microbial biomass to declining stocks as autumn conditions result in lower nutrient and light levels, concomitant with the onset of freezing conditions. Biogenic aerosol production and fluxes are key research parameters in understanding the formation of cloud condensation nuclei (CCN) and their impacts on the radiation budget of the Arctic Ocean. At present, there exists a paucity of data regarding how microbial community composition might change in the high Arctic Ocean, especially with respect to changes in the production of volatile aerosol precursor compounds as pelagic microbial communities replace sympagic communities. Specifically, this project focused on linking microbial community structure with the oceanic-atmosphere fluxes of volatile organic carbon compounds (VOCs) emitted from various oceanic and pack ice ecosystems. The role of diminishing sea ice cover in the Arctic Ocean will significantly impact biogenic aerosol production and fluxes via changes in microbial community structure and the release of VOCs. At present, however, the scarcity of in-situ oceanic VOC measurements available from the high Arctic Ocean prevents the development of robust models correlating phytoplankton biomass with VOCs and their impact on aerosol production. For instance, most current models utilize satellite chlorophyll a (Chla) imagery for estimating phytoplankton biomass (e.g. Gabric et al. 2014; Becagli et al. 2016). It is also well recognized that high concentrations of sea surface chromophoric dissolved organic matter (CDOM) can significantly bias remotely-sensed Chla concentrations, especially when Chla levels are less than 0.5 mg m 3 (Matsuoka et al. 2017). In addition to the bias in estimating in-situ phytoplankton biomass from satellite-derived Chla, the contribution made by oceanic VOC fluxes to the atmospheric aerosol optical depth (e.g. Gabric et al., 2002) is unknown. Moreover, incorrect estimates of the oceanic mixed layer depth (MLD) using climatological datasets and/or subsurface Chla maximum can further compound the errors associated with attempting to correlate phytoplankton integrated water column production with estimates of biomass derived using satellite Chla algorithms (Arrigo et al., 2011). As a result, questions remain regarding the reliability of using Chla estimates as a surrogate to estimate the organic carbon enrichment in submicron marine aerosols (Rinaldi et al. 2013). Hence, models that use satellites over relatively large areal expanses in the Arctic may be biased with regards to estimates of biomass, net primary production and as a result correlations to biogenic aerosol (Arrigo et al., 2011, Becagli et al., 2016). More importantly, however, total Chla biomass is not the only important variable affecting the production of oceanic biogenic VOCs and aerosols. The microbial community composition and physiology will not only affect the cell-specific production rate of precursor biogenic aerosol compounds, but also the secondary transformations of those compounds. Furthermore, determining VOCs or phytoplankton functional groups from space are both fraught with even more difficulty than Chla estimates alone. Consequently, at present, virtually no data exists regarding the suite of VOCs released to the high Arctic atmosphere as a function of the in-situ microbial community composition. This dataset includes nutrient concentrations of samples collected by CTD from August 2 to September 20, 2018. Nutrient availability plays a vital role in influencing the productivity and structure of the microbial community, which in turn impacts the air-sea flux of organic carbon and VOCs. Dataset Arctic Arctic Ocean Phytoplankton Sea ice Arctic Data Center (via DataONE) Arctic Arctic Ocean Breaker ENVELOPE(-67.257,-67.257,-67.874,-67.874) ENVELOPE(5.19,66.12,89.89,82.15)