scholarly journals Patterns of abundance for Calanus and smaller copepods in the North Sea: time series decomposition of two CPR data sets

1995 ◽  
Vol 118 ◽  
pp. 103-120 ◽  
Author(s):  
N Broekhuizen ◽  
E McKenzie
Keyword(s):  
Time Series ◽  
North Sea ◽  
Data Sets ◽  
The North ◽  
Time Series Decomposition ◽  
The North Sea

Coincident changes in four components of the North Sea ecosystem

1999 ◽  
Vol 79 (1) ◽  
pp. 183-185 ◽  
Author(s):  
K.F. Pearce ◽  
C.L.J. Frid
Keyword(s):  
Time Series ◽  
Species Composition ◽  
North Sea ◽  
Food Chain ◽  
Demersal Fish ◽  
North West ◽  
The North ◽  
The North Sea ◽  
Chain Links ◽  
Single Set

An analysis of species composition of the zooplankton, macrobenthos (two stations) and demersal fish from Northumberland (north-west North Sea) are reported. The four time-series show synchronous changes in species composition. While some of these changes coincide with changes in climateological variables, others do not. The degree of synchrony implies that either all the time-series are responding to a single set of extraneous forcing factors, or that food chain links, rapidly translate the signal through all ecosystem components.

scholarly journals FerryBox Data in the North Sea from 2002 to 2005

2018 ◽  
Author(s):  
Wilhelm Petersen ◽  
Susanne Reinke ◽  
Gisbert Breitbach ◽  
Michail Petschatnikov ◽  
Henning Wehde ◽  
...  
Keyword(s):  
Time Series ◽  
North Sea ◽  
Daily Basis ◽  
Time Interval ◽  
The North ◽  
The North Sea ◽  
Flow Through ◽  
Data Portal ◽  
Data Gap ◽  
Biogeochemical Parameters

Abstract. From 2002 to 2005 a FerryBox system was installed aboard two different ferries travelling between Cuxhaven (GE) and Harwich (UK) on a daily basis. The FerryBox system is an automated flow-through monitoring system for measuring oceanographic and biogeochemical parameters installed on ships of opportunity. The variables were recorded in a time interval of 10–20 seconds corresponding to a spatial resolution of about 100 m. The dataset provides the parameters water temperature, salinity, dissolved oxygen and chlorophyll-a fluorescence. There is a longer data gap between November 2002 and August 2003 in the time series due to a change of the vessel in October 2002. The data are available at doi:10.1594/PANGAEA.883824 and as part of the COSYNA data portal CODM at http://codm.hzg.de/codm or doi:10.17616/R3K02T.

Consistency of Towing Speed and Sampling Depth for the Continuous Plankton Recorder

1993 ◽  
Vol 73 (4) ◽  
pp. 967-970 ◽  
Author(s):  
G. C. Hays ◽  
A. J. Warner
Keyword(s):  
Time Series ◽  
North Atlantic ◽  
Data Sets ◽  
Sampling Depth ◽  
The North ◽  
The North Sea ◽  
The Mean ◽  
Towing Speed ◽  
Term Data

The mean annual towing speed of the Continuous Plankton Recorder (CPR) varied systematically between 1946 and 1991. By mounting a pressure transducer on the CPR to record towing depth, it was shown, however, that changes in towing speed did not cause a significant change in towing depth, although the mean towing depth (6–7 m, SD=l-7 m, N=77) was shallower than the previously assumed towing depth of 10 m. Thus the observed changes in towing speed are unlikely to have caused discontinuities in the CPR time-series by affecting sampling depth.Long-term data sets play an important role in attempts to understand the causes of fluctua- tions in plankton abundance. The Continuous Plankton Recorder (CPR) survey provides multi- decadal information on plankton abundance in the North Sea and North Atlantic (McGowan, 1990), and is one of the longest standing marine plankton abundance time-series. However, while the CPR time-series has great potential, as with all other data sets spanning many years, questions may be asked regarding the consistency with which the data have been collected and hence the true continuity of the time-series.

scholarly journals Hydroclimatic relationships with planktonic time series from 1975 to 1992 in the North Sea off Gravelines, France

1995 ◽  
Vol 129 ◽  
pp. 269-281 ◽  
Author(s):  
G Le Fevre-Lehoerff ◽  
F Ibanez ◽  
P Poniz ◽  
JM Fromentin
Keyword(s):  
Time Series ◽  
North Sea ◽  
The North ◽  
The North Sea

scholarly journals Realized habitats of early-stage North Sea herring: looking for signals of environmental change

2010 ◽  
Vol 68 (3) ◽  
pp. 537-546 ◽  
Author(s):  
Christine Röckmann ◽  
Mark Dickey-Collas ◽  
Mark R. Payne ◽  
Ralf van Hal
Keyword(s):  
Time Series ◽  
Environmental Change ◽  
North Sea ◽  
Early Stage ◽  
Interannual Variations ◽  
The Past ◽  
The North ◽  
The North Sea ◽  
Juvenile Stages ◽  
Newly Hatched Larvae

Abstract Röckmann, C., Dickey-Collas, M., Payne, M. R., and van Hal, R. 2011. Realized habitats of early-stage North Sea herring: looking for signals of environmental change. – ICES Journal of Marine Science, 68: . Realized habitats of North Sea herring for two larval and two juvenile stages were estimated over the past 30 years, using abundances from surveys tied to modelled estimates of temperature and salinity. Newly hatched larvae (NHL) were found mainly in water masses of 9–11°C, pre-metamorphosis larvae (PML) around 5–6°C, juveniles aged 0 in summer around 13–14°C, and juveniles aged 1 in winter around 4–5°C. The median salinity in which the NHL were distributed was 34.4–35.0 and 33.7–33.9, respectively, for PML and juveniles. Interannual variations in temperature and geographic variables in the North Sea were compared with the time-series of realized habitats. The realized temperature habitats of the NHL did not change over time, but the habitat of juveniles in summer may be associated with higher temperatures. Juveniles aged 1 in winter are found in waters colder than the average for the North Sea, a result also reflected in their geographic shift east into shallower water. The results suggest that juveniles could be limited by temperature, but may also track changes in food or predator distribution, and/or internal population dynamics. Time-series analysis of realized salinity habitats was not possible with the available data because of differences between model outputs.

Introduction to this special section: Case studies: Conventionals

2019 ◽  
Vol 38 (1) ◽  
pp. 10-10
Author(s):  
Shauna Oppert ◽  
Matthew Casey ◽  
Kyle T. Spikes
Keyword(s):  
Case Studies ◽  
North Sea ◽  
Reservoir Characterization ◽  
Special Section ◽  
Data Sets ◽  
The North ◽  
The North Sea ◽  
Well Data ◽  
Conventional Systems ◽  
Innovative Techniques

Case studies, with a focus on conventional systems, provide insight of seismic and well data sets in terms of characterizing reservoirs with innovative techniques and approaches. This special section contains three such papers from three different regions: offshore Brazil, the North Sea, and the Middle East. Each contribution presents a different geologic problem ranging from siliciclastics to volcanics to carbonates. The challenges faced in each paper were tackled using innovative approaches to reservoir characterization in complex geologic regions.

scholarly journals Proliferation of offshore wind farms in the North Sea and surrounding waters revealed by satellite image time series

2020 ◽  
Vol 133 ◽  
pp. 110167
Author(s):  
Wenxuan Xu ◽  
Yongxue Liu ◽  
Wei Wu ◽  
Yanzhu Dong ◽  
Wanyun Lu ◽  
...  
Keyword(s):  
Time Series ◽  
North Sea ◽  
Satellite Image ◽  
Wind Farms ◽  
Offshore Wind ◽  
Offshore Wind Farms ◽  
The North ◽  
The North Sea

Monthly-mean residual flows through the Dover Strait, 1949–1972

1978 ◽  
Vol 58 (4) ◽  
pp. 965-973 ◽  
Author(s):  
D. Prandle
Keyword(s):  
Time Series ◽  
North Sea ◽  
Marine Biology ◽  
Small Variation ◽  
Mean Value ◽  
Residual Flow ◽  
Mean Flow ◽  
The North ◽  
The North Sea ◽  
The Mean

An estimate is made of the mean value of residual flow through the Dover Strait for each month over the 24–year period from 1949 to 1972. The estimates are based on results from a modelling investigation by Prandle (1978) where it was shown that the residual flow consists of three components, (a) a tidal residual, (b), a wind-driven residual and (c) a flow due to a long-term gradient in mean sea level. The components (a) and (c) are assumed to be constant and the value of (b) is deduced using wind data recorded by Dutch Light Vessels located in the southern North Sea.The mean flow over the whole period amounts to 155 × 103 m3 s–1 into the North Sea with a maximum value of 364 x 103 m3 s–1 and a minimum of – 15 × 103 m3 s–1 (out of the North Sea). One notable feature of the complete time series is the surprisingly small variation in the annual mean flows; perhaps this stability in the annual flow is of significance to the marine biology of the area.The validity of the computed time series is established by reference to comparable data including a 9–year record, from cross-channel submarine cables, of the potential induced by the flow of water through the Earth's magnetic field. Additional comparisons are also made with the results of a previous study of daily-mean flows.

scholarly journals Multi-decadal offshore wind power variability can be mitigated through optimized European allocation

2020 ◽  
Author(s):  
Charlotte Neubacher ◽  
Jan Wohland ◽  
Dirk Witthaut
Keyword(s):  
Power Generation ◽  
Time Series ◽  
Wind Power ◽  
North Sea ◽  
Wind Power Generation ◽  
Offshore Wind ◽  
Offshore Wind Power ◽  
The North ◽  
The North Sea

<p>Wind power generation is a promising technology to reduce greenhouse gas emissions in line with the Paris Agreement.  In the recent years, the global offshore wind market grew around 30% per year but the full potential of this technology is still not fully exploited. In fact, offshore wind power has the potential to generate more than the worldwide energy demand of today. The high variability of wind on many different timescales does, however, pose serious technical challenges for system integration and system security.  With a few exceptions, little focus has been given to multi-decadal variability. Our research therefore focuses on timescales exceeding ten years.</p><p>Based on detrended wind data from the coupled centennial reanalysis CERA-20C, we calculate long-term offshore wind power generation time series across Europe and analyze their variability with a focus on the North Sea, the Mediterranean Sea and the Atlantic Ocean. Our approach is based on two independent spectral analysis methods, namely power spectral density and singular spectrum analysis. The latter is particularly well suited for relatively short and noisy time series. In both methods an AR(1)-process is considered as a realistic model for the noisy background. The analysis is complemented by computing the 20yr running mean to also gain insight into long term developments and quantify benefits of large-scale balancing.</p><p>We find strong indications for two significant multidecadal modes, which appear consistently independent of the statistical method and at all locations subject to our investigation. Moreover, we reveal potential to mitigate multidecadal offshore wind power generation variability via spatial balancing in Europe. In particular, optimized allocations off the Portuguese coast and in the North Sea allow for considerably more stable wind power generation on multi-decadal time scales.</p>

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