A re-analysis of Black Sea surface temperature

Nardelli, Bruno Buongiorno; Colella, Simone; Santoleri, Rosalia; Guarracino, M.; Kholod, A. L.

doi:10.1016/j.jmarsys.2009.07.001

Cited by 28 publications

(21 citation statements)

References 23 publications

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“…To test different environmental conditions in consecutive years, the years 2001 to 2003 were chosen after the analysis of satellite data spanning two decades, the 1990's and 2000's. The data sets revealed that 2001 was an exceptionally warm year, particularly in summer, with strong stratification mainly because of reduced wind stress in the winter of -2001(McQuatters-Gollop et al, 2008Buongiorno Nardelli et al, 2010). The year 2002 was average in terms of temperature distribution and 2003 was remarkably cold when compared to the mean conditions, with significantly higher wind stress (McQuatters-Gollop et al, 2008).…”

Section: Design Of Simulationsmentioning

confidence: 99%

“…Temperature plays a critical role because of the special climatic feature of the Black Sea, where an exceptionally large zonal west-east temperature gradient exists with fall-winter temperatures in the southeastern region being ∼4-5 • C higher than the northwestern region (Buongiorno Nardelli et al, 2010;Capet et al, 2012). Anchovy can swim at high speeds of up to five body-lengths/s (bl/s) for long periods of time, as observed in Peruvian anchovy (Peraltilla and Bertrand, 2014), and similar swimming speeds have also been observed in the Black Sea anchovy (A.C. Gucu, pers.…”

Section: Parameterization Of Anchovy Behaviormentioning

confidence: 99%

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Understanding the Impact of Environmental Variability on Anchovy Overwintering Migration in the Black Sea and its Implications for the Fishing Industry

2017

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Black Sea anchovy (Engraulis encrasicolus) undertake extensive overwintering migrations every fall from nursery grounds to warmer overwintering areas located on the south-eastern coast of the Black Sea. During migration and particularly upon arrival at the Anatolian coast, they support an important fishery and valuable source of income for the regional community. Black Sea anchovy have undergone significant stock fluctuations partly related to climatic conditions; for example, migrating anchovy schools arrived late or failed to arrive at the Anatolian coast when fall temperatures increased. It is therefore of importance to understand the conditions required for successful overwintering migration and explore different migration routes. This study invokes a Lagrangian modeling approach applied to satellite derived circulation and temperature data as a first attempt to model anchovy migration dynamics in the Black Sea. This modeling approach takes the influence of the physical environment into account, while the quality of overwintering grounds, adaptive, schooling, and homing behavior is neglected. The model is used to investigate the possible influence of interannual and seasonal variability of temperature and surface currents, as well as the influence of migration behavior on the success of anchovy overwintering migration for both the Black Sea and Azov Sea anchovy. The results of the present work show the possibility that overwintering anchovy fished along the Turkish Eastern Anatolian coast may not exclusively originate from the northwestern shelf, but mainly from the eastern Black Sea basin. Migration pathways are identified for both Black Sea and Azov Sea anchovy, which are of importance for the national fisheries efforts of riparian countries. The modeling results are in agreement with general patterns of anchovy migration given in the literature indicating that the physical environment may be a major factor in shaping general migration patterns. Simulation results are used to hypothesize about alternatives to previously determined migration routes and provide potential reasons that explain the inability of the Bulgarian anchovy fishery to recover. Results show that the intensity and timing of autumnal cooling, coupled with current Guraslan et al.Environmental Impact on Anchovy Overwintering Migration strength, can be of significant importance in determining annual and seasonal variability of migration success. Considering the need for fisheries management to account for the variability in fishable overwintering anchovy stocks a modeling approach as developed in the current study may provide such a tool.

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Section: Design Of Simulationsmentioning

confidence: 99%

Section: Parameterization Of Anchovy Behaviormentioning

confidence: 99%

Understanding the Impact of Environmental Variability on Anchovy Overwintering Migration in the Black Sea and its Implications for the Fishing Industry

2017

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“…Daily gap-free SST 468 A. Osadchiev and E. Korshenko: Small river plumes off the northeastern coast of the Black Sea maps of the Black Sea with 0.0625 • spatial resolution were obtained from the processing and statistical interpolation of nighttime measurements collected by infrared satellite sensors mounted on different satellite platforms. Details of SST data processing are described in Nardelli et al (2009Nardelli et al ( , 2013.…”

Section: Datamentioning

confidence: 99%

“…The INMOM model was initialized using the monthly-averaged climatic temperature and salinity fields with 25-50 km spatial resolution (Ivanov and Belokopytov, 2013) as initial background conditions and provided ambient velocity fields for the STRiPE and sediment transport models. Owing to inaccuracy of available precipitation and river discharge, corrections of the simulated SST and sea surface salinity (SSS) fields were applied using daily satellite SST products provided in the framework of the CMEMS project (Nardelli et al, 2009(Nardelli et al, , 2013 and monthlyaveraged climatic fields of the SSS of the Black Sea described above. The model time step was set equal to 90 s.…”

Section: Inmom Modelmentioning

confidence: 99%

Small river plumes off the northeastern coast of the Black Sea under average climatic and flooding discharge conditions

Osadchiev

Korshenko

2017

Ocean Sci.

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Abstract. This study focuses on the impact of discharges of small rivers on the delivery and fate of fluvial water and suspended matter at the northeastern part of the Black Sea under different local precipitation conditions. Several dozens of mountainous rivers flow into the sea at the study region, and most of them, except for several of the largest, have little annual runoff and affect adjacent coastal waters to a limited extent under average climatic conditions. However, the discharges of these small rivers are characterized by a quick response to precipitation events and can significantly increase during and shortly after heavy rains, which are frequent in the considered area. The delivery and fate of fluvial water and terrigenous sediments at the study region, under average climatic and rain-induced flooding conditions, were explored and compared using in situ data, satellite imagery, and numerical modeling. It was shown that the point-source spread of continental discharge dominated by several large rivers under average climatic conditions can change to the linesource discharge from numerous small rivers situated along the coast in response to heavy rains. The intense line-source runoff of water and suspended sediments forms a geostrophic alongshore current of turbid and freshened water, which induces the intense transport of suspended and dissolved constituents discharged with river waters in a northwestern direction. This process significantly influences water quality and causes active sediment load at large segments of the narrow shelf at the northeastern part of the Black Sea compared to average climatic discharge conditions.

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“…When satellite or model data are used, this error covariance can also be specified by its eigenvalues/eigenvectors (Kaplan et al, 1997;Rayner et al, 2003;Beckers et al, 2006) or by an ensemble (Evensen, 2007). Applications to multiple spatial and/or temporal dimensions are common (Høyer and She, 2007;Buongiorno Nardelli et al, 2010) to ensure a continuity of the solution along those dimensions. Analytical functions for the error covariance are based generally on the distance between two given points.…”

Section: A Barth Et Al: Divandmentioning

confidence: 99%

divand-1.0: <i>n</i>-dimensional variational data analysis for ocean observations

et al. 2014

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Abstract.A tool for multidimensional variational analysis (divand) is presented. It allows the interpolation and analysis of observations on curvilinear orthogonal grids in an arbitrary high dimensional space by minimizing a cost function. This cost function penalizes the deviation from the observations, the deviation from a first guess and abruptly varying fields based on a given correlation length (potentially varying in space and time). Additional constraints can be added to this cost function such as an advection constraint which forces the analysed field to align with the ocean current. The method decouples naturally disconnected areas based on topography and topology. This is useful in oceanography where disconnected water masses often have different physical properties. Individual elements of the a priori and a posteriori error covariance matrix can also be computed, in particular expected error variances of the analysis. A multidimensional approach (as opposed to stacking two-dimensional analysis) has the benefit of providing a smooth analysis in all dimensions, although the computational cost is increased.Primal (problem solved in the grid space) and dual formulations (problem solved in the observational space) are implemented using either direct solvers (based on Cholesky factorization) or iterative solvers (conjugate gradient method). In most applications the primal formulation with the direct solver is the fastest, especially if an a posteriori error estimate is needed. However, for correlated observation errors the dual formulation with an iterative solver is more efficient.The method is tested by using pseudo-observations from a global model. The distribution of the observations is based on the position of the Argo floats. The benefit of the threedimensional analysis (longitude, latitude and time) compared to two-dimensional analysis (longitude and latitude) and the role of the advection constraint are highlighted. The tool divand is free software, and is distributed under the terms of the General Public Licence (GPL)

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A re-analysis of Black Sea surface temperature

Cited by 28 publications

References 23 publications

Understanding the Impact of Environmental Variability on Anchovy Overwintering Migration in the Black Sea and its Implications for the Fishing Industry

Understanding the Impact of Environmental Variability on Anchovy Overwintering Migration in the Black Sea and its Implications for the Fishing Industry

Small river plumes off the northeastern coast of the Black Sea under average climatic and flooding discharge conditions

divand-1.0: <i>n</i>-dimensional variational data analysis for ocean observations

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A re-analysis of Black Sea surface temperature

Cited by 28 publications

References 23 publications

Understanding the Impact of Environmental Variability on Anchovy Overwintering Migration in the Black Sea and its Implications for the Fishing Industry

Understanding the Impact of Environmental Variability on Anchovy Overwintering Migration in the Black Sea and its Implications for the Fishing Industry

Small river plumes off the northeastern coast of the Black Sea under average climatic and flooding discharge conditions

divand-1.0: &lt;i&gt;n&lt;/i&gt;-dimensional variational data analysis for ocean observations

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Product

Resources

About

divand-1.0: <i>n</i>-dimensional variational data analysis for ocean observations