In situ Measurements of the Characteristics of Suspended Particles in the Barents Sea by the LISST-Deep Laser Diffractometer

Oceanology ◽  
2020 ◽  
Vol 60 (5) ◽  
pp. 650-663
Author(s):  
A. S. Lokhov ◽  
M. D. Kravchishina ◽  
A. A. Klyuvitkin ◽  
A. I. Kochenkova
Keyword(s):  
Barents Sea ◽  
Suspended Particles ◽  
In Situ Measurements ◽  
The Barents Sea

scholarly journals Methods and results of in situ target-strength measurements of Atlantic cod (Gadus morhua) during combined trawl-acoustic surveys

2009 ◽  
Vol 66 (6) ◽  
pp. 1225-1232 ◽  
Author(s):  
Viacheslav A. Ermolchev
Keyword(s):  
Gadus Morhua ◽  
Barents Sea ◽  
Atlantic Cod ◽  
Biological Data ◽  
Target Strength ◽  
Fish Length ◽  
The Barents Sea ◽  
Total Fish ◽  
Acoustic Surveys

Abstract Ermolchev, V. A., 2009. Methods and results of in situ target-strength measurements of Atlantic cod (Gadus morhua) during combined trawl-acoustic surveys. – ICES Journal of Marine Science, 66: 1225–1232. This paper presents methods for collecting acoustic and biological data, including in situ target-strength (TS) estimates of fish, with results presented for Atlantic cod (Gadus morhua) obtained from combined trawl-acoustic surveys. These include fish in the small, average, and maximum length classes, within the range 5–136 cm (total fish length, LT). The investigations were done using Simrad EK500/EK60 echosounders with split-beam transducers and special post-processing software. Based on an analysis of data collected in the Barents Sea during 1998–2007, a relationship TS = 25.2 log10(LT) − 74.8 was obtained for Atlantic cod at 38 kHz, with TS in dB and LT in centimetres. Seasonally, and for depths between 50 and 500 m, the variability in cod TS was 3.1 dB, decreasing with depth. The largest day–night difference in mean TS was in August–September, with changes as large as 1.0–1.7 dB. In the other seasons, the day–night difference was <1.0 dB.

Polychromatic transmissometer for in situ measurements of suspended particles and gelbstoff in water

1997 ◽  
Vol 36 (30) ◽  
pp. 7919 ◽  
Author(s):  
Hans Barth ◽  
Klaus Grisard ◽  
Kurt Holtsch ◽  
Rainer Reuter ◽  
Uwe Stute
Keyword(s):  
Suspended Particles ◽  
In Situ Measurements

Meridional zonation of the Barents Sea ecosystem inferred from satellite remote sensing and in situ bio-optical observations

1991 ◽  
Vol 10 (1) ◽  
pp. 147-162 ◽  
Author(s):  
B. GREG MITCHELL ◽  
ERIC A. BRODY ◽  
EUENG-NAN YEH ◽  
CHARLES MCCLAIN ◽  
JOSEFINO COMISO ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Barents Sea ◽  
Optical Observations ◽  
The Barents Sea ◽  
Barents Sea Ecosystem

Interannual variability of Emiliania huxleyi blooms in the Barents Sea: In situ data 2014–2018

2020 ◽  
Vol 158 ◽  
pp. 111392 ◽  
Author(s):  
Vladimir Silkin ◽  
Larisa Pautova ◽  
Mario Giordano ◽  
Marina Kravchishina ◽  
Vladimir Artemiev
Keyword(s):  
Interannual Variability ◽  
Barents Sea ◽  
Emiliania Huxleyi ◽  
In Situ Data ◽  
The Barents Sea

scholarly journals When fish meet a trawling vessel: examining the behaviour of gadoids using a free-floating buoy and acoustic split-beam tracking

2005 ◽  
Vol 62 (10) ◽  
pp. 2409-2422 ◽  
Author(s):  
N O Handegard ◽  
D Tjøstheim
Keyword(s):  
Barents Sea ◽  
Gradual Increase ◽  
Light Level ◽  
Horizontal Movement ◽  
Fish Size ◽  
The Barents Sea ◽  
Acoustic Target ◽  
Velocity Changes ◽  
Vessel Noise

The reaction of individual gadoids to a bottom-trawling vessel has been observed in situ in the Barents Sea using a free-floating buoy and acoustic target-tracking methods. More than 20 000 tracks were analysed in terms of velocity changes in vertical, athwarthship, and alongship direction relative to the vessel, the warps, and the trawl, respectively. The fish starts diving about 15 min before vessel passing. This coincides with the time the trawl is running and not with the gradual increase in vessel noise caused by the approaching vessel. The change in horizontal movement is more gradual and is directed away from the vessel in the alongship direction, but towards the vessel in the athwarthship direction. The strongest and sharpest response is related to the trawl warps. A strong herding in front of the warps is seen. Closer to the bottom, an athwarthship herding reaction is seen away from the trawl doors or possibly the lower parts of the warps. There were only minor differences when grouping the tracks according to light level, fish size, and fish density.

Meridional zonation of the Barents Sea ecosystem inferred from satellite remote sensing and in situ bio-optical observations

1991 ◽  
Vol 10 (1) ◽  
pp. 147-162 ◽  
Author(s):  
B. Greg Mitchell ◽  
Eric A. Brody ◽  
Eueng-Nan Yeh ◽  
Charles Mcclain ◽  
Josefino Comiso ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Barents Sea ◽  
Optical Observations ◽  
The Barents Sea ◽  
Barents Sea Ecosystem

VII.—A Carboniferous Fauna from Nowaja Semlja

1909 ◽  
Vol 47 (1) ◽  
pp. 143-186 ◽  
Author(s):  
W. S. Bruce ◽  
G. W. Lee ◽  
R. G. Carruthers
Keyword(s):  
West Coast ◽  
Barents Sea ◽  
The West ◽  
The Barents Sea

The present paper is based on the study of a suite of fossils collected in 1898 by Dr W. S. Bruce, during a cruise with Major Andrew Coats in the Barents Sea, on board the yacht Blencathra.The fossils were found in situ in a cliff at the extremity of Cape Cherney, a promontory situated on the west coast of Southern Nowaja Semlja, in Iat. 70° 49' and long. 56° 37'. Contrary to what often obtains in the case of materials collected by explorers, they are all from the same bed, a fact which greatly increases the value of the collection, as there is thus no possibility of a mixing of forms from different horizons.

scholarly journals Development of a bio-optical model for the Barents Sea to quantitatively link glider and satellite observations

2020 ◽  
Vol 378 (2181) ◽  
pp. 20190367 ◽  
Author(s):  
I. Kostakis ◽  
R. Röttgers ◽  
A. Orkney ◽  
H. A. Bouman ◽  
M. Porter ◽  
...  
Keyword(s):  
Data Streams ◽  
Optical Model ◽  
Barents Sea ◽  
Satellite Observations ◽  
General Applicability ◽  
Biological Communities ◽  
Inherent Optical Properties ◽  
The Barents Sea ◽  
Observation Systems

A bio-optical model for the Barents Sea is determined from a set of in situ observations of inherent optical properties (IOPs) and associated biogeochemical analyses. The bio-optical model provides a pathway to convert commonly measured parameters from glider-borne sensors (CTD, optical triplet sensor—chlorophyll and CDOM fluorescence, backscattering coefficients) to bulk spectral IOPs (absorption, attenuation and backscattering). IOPs derived from glider observations are subsequently used to estimate remote sensing reflectance spectra that compare well with coincident satellite observations, providing independent validation of the general applicability of the bio-optical model. Various challenges in the generation of a robust bio-optical model involving dealing with partial and limited quantity datasets and the interpretation of data from the optical triplet sensor are discussed. Establishing this quantitative link between glider-borne and satellite-borne data sources is an important step in integrating these data streams and has wide applicability for current and future integrated autonomous observation systems. This article is part of the theme issue ‘The changing Arctic Ocean: consequences for biological communities, biogeochemical processes and ecosystem functioning’.

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