scholarly journals Estimation of phytoplankton taxonomic groups in the Arctic Ocean using phytoplankton absorption properties: implication for ocean-color remote sensing

2018 ◽  
Vol 26 (24) ◽  
pp. 32280 ◽  
Author(s):  
Hailong Zhang ◽  
Emmanuel Devred ◽  
Amane Fujiwara ◽  
Zhongfeng Qiu ◽  
Xiaohan Liu
Keyword(s):  
Remote Sensing ◽  
Arctic Ocean ◽  
Ocean Color ◽  
The Arctic ◽  
Absorption Properties ◽  
Ocean Color Remote Sensing ◽  
The Arctic Ocean ◽  
Phytoplankton Absorption ◽  
Taxonomic Groups

scholarly journals A synthesis of light absorption properties of the Arctic Ocean: application to semianalytical estimates of dissolved organic carbon concentrations from space

2014 ◽  
Vol 11 (12) ◽  
pp. 3131-3147 ◽  
Author(s):  
A. Matsuoka ◽  
M. Babin ◽  
D. Doxaran ◽  
S. B. Hooker ◽  
B. G. Mitchell ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Arctic Ocean ◽  
Ocean Color ◽  
The Arctic ◽  
Data Sets ◽  
Absorption Coefficients ◽  
Absorption Properties ◽  
Chl A ◽  
The Arctic Ocean ◽  
Color Data

Abstract. In addition to scattering coefficients, the light absorption coefficients of particulate and dissolved materials are the main factors determining the light propagation of the visible part of the spectrum and are, thus, important for developing ocean color algorithms. While these absorption properties have recently been documented by a few studies for the Arctic Ocean (e.g., Matsuoka et al., 2007, 2011; Ben Mustapha et al., 2012), the data sets used in the literature were sparse and individually insufficient to draw a general view of the basin-wide spatial and temporal variations in absorption. To achieve such a task, we built a large absorption database of the Arctic Ocean by pooling the majority of published data sets and merging new data sets. Our results show that the total nonwater absorption coefficients measured in the eastern Arctic Ocean (EAO; Siberian side) are significantly higher than in the western Arctic Ocean (WAO; North American side). This higher absorption is explained by higher concentration of colored dissolved organic matter (CDOM) in watersheds on the Siberian side, which contains a large amount of dissolved organic carbon (DOC) compared to waters off North America. In contrast, the relationship between the phytoplankton absorption (aϕ(λ)) and chlorophyll a (chl a) concentration in the EAO was not significantly different from that in the WAO. Because our semianalytical CDOM absorption algorithm is based on chl a-specific aϕ(λ) values (Matsuoka et al., 2013), this result indirectly suggests that CDOM absorption can be appropriately derived not only for the WAO but also for the EAO using ocean color data. Based on statistics, derived CDOM absorption values were reasonable compared to in situ measurements. By combining this algorithm with empirical DOC versus CDOM relationships, a semianalytical algorithm for estimating DOC concentrations for river-influenced coastal waters of the Arctic Ocean is presented and applied to satellite ocean color data.

scholarly journals Sea ice circulation in the Laptev Sea and ice export to the Arctic Ocean: Results from satellite remote sensing and numerical modeling

2000 ◽  
Vol 105 (C7) ◽  
pp. 17143-17159 ◽  
Author(s):  
Vitaly Y. Alexandrov ◽  
Thomas Martin ◽  
Josef Kolatschek ◽  
Hajo Eicken ◽  
Martin Kreyscher ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Numerical Modeling ◽  
Sea Ice ◽  
Arctic Ocean ◽  
Satellite Remote Sensing ◽  
The Arctic ◽  
Laptev Sea ◽  
The Arctic Ocean ◽  
The Laptev Sea

scholarly journals Parameterization of vertical chlorophyll <i>a</i> in the Arctic Ocean: impact of the subsurface chlorophyll maximum on regional, seasonal and annual primary production estimates

2013 ◽  
Vol 10 (1) ◽  
pp. 1345-1399 ◽  
Author(s):  
M. Ardyna ◽  
M. Babin ◽  
M. Gosselin ◽  
E. Devred ◽  
S. Bélanger ◽  
...  
Keyword(s):  
Primary Production ◽  
Arctic Ocean ◽  
Empirical Model ◽  
Ocean Color ◽  
The Arctic ◽  
Winter Period ◽  
Substantial Impact ◽  
Near Surface ◽  
Chl A ◽  
The Arctic Ocean

Abstract. Predicting water-column phytoplankton biomass from near-surface measurements is a common approach in biological oceanography, particularly since the advent of satellite remote sensing of ocean color (OC). In the Arctic Ocean, deep subsurface chlorophyll maxima (SCMs) that significantly contribute to primary production (PP) are often observed. These are neither detected by ocean color sensors nor accounted for the primary production models applied to the Arctic Ocean. Here, we assemble a large database of pan-Arctic observations (i.e. 5206 stations) and develop an empirical model to estimate vertical chlorophyll a (chl a) according to: (1) the shelf-offshore gradient delimited by the 50 m isobath, (2) seasonal variability along pre-bloom, post-bloom and winter periods, and (3) regional differences across ten sub-Arctic and Arctic seas. Our detailed analysis of the dataset shows that, for the pre-bloom and winter periods, as well as for high surface chl a concentration (chl asurf; 0.7–30 mg m−3) throughout the open water period, the chl a maximum is mainly located at or near the surface. Deep SCMs occur chiefly during the post-bloom period when chl asurf is low (0–0.5 mg m−3). By applying our empirical model to annual chl asurf time series, instead of the conventional method assuming vertically homogenous chl a, we produce novel pan-Arctic PP estimates and associated uncertainties. Our results show that vertical variations in chl a have a limited impact on annual depth-integrated PP. Small overestimates found when SCMs are shallow (i.e. pre-bloom, post-bloom > 0.05 mg m−3 and the winter period) somehow compensate for the underestimates found when SCMs are deep (i.e. post-bloom < 0.05 mg m−3). SCMs are, however, important seasonal features with a substantial impact on depth-integrated PP estimates, especially when surface nitrate is exhausted in the Arctic Ocean and where highly stratified and oligotrophic conditions prevail.

Improved ocean-color remote sensing in the Arctic using the POLYMER algorithm

2012 ◽  
Author(s):  
Robert Frouin ◽  
Pierre-Yves Deschamps ◽  
Didier Ramon ◽  
François Steinmetz
Keyword(s):  
Remote Sensing ◽  
Ocean Color ◽  
The Arctic ◽  
Ocean Color Remote Sensing

scholarly journals CULTIVATED AEROSOL MICROORGANISMS DETECTED DURING AIRPLANE SENSING OF THE ATMOSPHERE OVER THE ARCTIC SEAS OF RUSSIA

2021 ◽  
Vol 4 (1) ◽  
pp. 86-94
Author(s):  
Irina S. Andreeva ◽  
Alexander S. Safatov ◽  
Olesya V. Ohlopkova ◽  
Maksim E. Rebus ◽  
Galina A. Buryak
Keyword(s):  
Genetic Analysis ◽  
Arctic Ocean ◽  
Atmospheric Aerosols ◽  
The Arctic ◽  
Arctic Seas ◽  
Bacterial Cultures ◽  
The Arctic Ocean ◽  
Bacteria And Fungi ◽  
Taxonomic Groups ◽  
Different Altitudes

In September 2020, the atmosphere was probed using the Optik Tu-134 aircraft laboratory over the waters of the Arctic Ocean seas: the Barents, Kara, Laptev, East Siberian, Chukchi, and Bering seas. Unique samples of atmospheric aerosols were collected at the altitudes from 200 to 10,000 m including samples in impingers for identification and genetic analysis of culturable microorganisms. The paper presents data on the concentrations and diversity of bacteria and fungi isolated by seeding 24 samples of atmospheric aerosols collected at different altitudes over the Arctic seas of Russia. The main morphophysiological, biochemical and genomic characteristics were obtained for 152 bacterial cultures, and the taxonomic groups they belong to were determined.

Evaluating Dissolved Organic Carbon Retrieval in the Lena River Delta using Sentinel 3 OLCI Data

2021 ◽  
Author(s):  
Rene Preusker ◽  
Jan El Kassar ◽  
Bennet Juhls
Keyword(s):  
Remote Sensing ◽  
Organic Matter ◽  
Organic Carbon ◽  
Dissolved Organic Carbon ◽  
Arctic Ocean ◽  
The Arctic ◽  
Lena River ◽  
The Arctic Ocean ◽  
Arctic Rivers

&lt;p&gt;As air temperatures in the Arctic continue to rise, permafrost thaw intensifies, and discharge from the Arctic rivers increases. These drastic changes are likely to accelerate mobilization of organic matter and its export through rivers into the Arctic Ocean. Therefore, thorough monitoring of these processes becomes increasingly important. The Lena River with its large catchment area is one of the major sources of the organic carbon in the Arctic Ocean and, therefore, plays a crucial role in the Arctic carbon cycle.&amp;#160;&lt;br&gt;To observe current and future changes of carbon transport via the Lena River, a new monitoring program has been initiated in 2018. In situ water samples are collected from the one of the Lena Delta branches every several days. Since generally the in situ sampling in the Arctic is challenging and costly, in this study, we test the potential of remote sensing to complement the field observations. Remote sensing provides synoptic spatial coverages and high temporal resolution at high latitudes.&amp;#160;&lt;br&gt;We test the retrieval of dissolved organic carbon (DOC) from satellite-derived chromophoric dissolved organic matter (CDOM). For this, we use measurements of the Ocean &amp; Land Colour Instrument (OLCI) on board the Sentinel-3 satellites in combination with beforehand tested atmospheric correction algorithms and CDOM retrieval algorithms. The quality of the satellite retrieved DOC of the Lena River water is assessed by DOC, measured in the in situ samples. Remotely sensed DOC contributes to an improvement of DOC fluxes monitoring, which can potentially be extended to all big Arctic rivers.&lt;/p&gt;

scholarly journals Biogeography of Heterotrophic Flagellate Populations Indicates the Presence of Generalist and Specialist Taxa in the Arctic Ocean

2015 ◽  
Vol 81 (6) ◽  
pp. 2137-2148 ◽  
Author(s):  
Mary Thaler ◽  
Connie Lovejoy
Keyword(s):  
Arctic Ocean ◽  
Water Column ◽  
High Throughput Sequencing ◽  
Species Level ◽  
The Arctic ◽  
Heterotrophic Flagellate ◽  
Sequencing Data ◽  
Content Type ◽  
The Arctic Ocean ◽  
Taxonomic Groups

ABSTRACTHeterotrophic marine flagellates (HF) are ubiquitous in the world's oceans and represented in nearly all branches of the domain Eukaryota. However, the factors determining distributions of major taxonomic groups are poorly known. The Arctic Ocean is a good model environment for examining the distribution of functionally similar but phylogenetically diverse HF because the physical oceanography and annual ice cycles result in distinct environments that could select for microbial communities or favor specific taxa. We reanalyzed new and previously published high-throughput sequencing data from multiple studies in the Arctic Ocean to identify broad patterns in the distribution of individual taxa. HF accounted for fewer than 2% to over one-half of the reads from the water column and for up to 60% of reads from ice, which was dominated byCryothecomonas. In the water column, many HF phylotypes belonging to Telonemia and Picozoa, uncultured marine stramenopiles (MAST), and choanoflagellates were geographically widely distributed. However, for two groups in particular, Telonemia andCryothecomonas, some species level taxa showed more restricted distributions. For example, several phylotypes of Telonemia favored open waters with lower nutrients such as the Canada Basin and offshore of the Mackenzie Shelf. In summary, we found that while some Arctic HF were successful over a range of conditions, others could be specialists that occur under particular conditions. We conclude that tracking species level diversity in HF not only is feasible but also provides a potential tool for understanding the responses of marine microbial ecosystems to rapidly changing ice regimes.

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