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Studying Long-Term Variations in Black-Sea Ecosystem Based on the Assimilation of Remote Sensing Data in a Numerical Model

  • WATER QUALITY AND PROTECTION: ENVIRONMENTAL ASPECTS
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Abstract

The results of simulation of Black Sea ecosystem dynamics with the use of a three-dimensional interdisciplinary model are given. An important feature of the simulation is the assimilation of measurement data of satellite color scanners. The calculations were made for fifteen years starting from 1998. The result was a set of three-dimensional biogeochemical fields of the Black Sea on a regular grid with a time step of 1 day. The major biogeochemical parameters of the marine ecosystem were analyzed. The quality of the obtained fields was evaluated by comparison with the available data of in-situ measurements.

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REFERENCES

  1. Demyshev, S.G. and Korotaev, G.K., Numerical energy-balanced model of baroclinic currents in an ocean with uneven bed on an S grid, in Chislennye modeli i rezul’taty kalibrovochnykh raschetov techenii v Atlanticheskom okeane (Numerical Models and the Results of Calibration Calculations of Currents in the Atlantic), Moscow: Inst. Vych. Matem., Ross. Akad. Nauk, 1992, pp. 163–231.

  2. Dorofeev, V.L., Modeling ten-day variations in Black Sea ecosystem, Morsk. Gidrofiz. Zhurn., 2009, no. 6, pp. 71–81.

  3. Dorofeev, V.L. and Korotaev, G.K., Validation of the results of simulating Black Sea circulation based on data of emerging buoys, in Ekologicheskaya bezopasnost’ pribrezhnoi i shel’fovoi zon i kompleksnoe ispol’zovanie resursov shel’fa (Environmental Safety of the Coastal and Shelf Zones and the Integrated Use of Shelf Resources), Sevastopol: EKOSI-Gidrofizika, 2004, issue 11, pp. 63–74.

  4. Dorofeev, V.L., Korotaev, G.K., Suetin, V.S., and Sukhikh, L.I., Assimilation of satellite images of sea color in an interdisciplinary model of Black Sea ecosystem, in Ekologicheskaya bezopasnost’ pribrezhnoi i shel’fovoi zon i kompleksnoe ispol’zovanie resursov shel’fa (Environmental Safety of the Coastal and Shelf Zones and the Integrated Use of Shelf Resources), Sevastopol: EKOSI-Gidrofizika, 2008, issue 16, pp. 323–332.

  5. Dorofeev, V.L., Korotaev, G.K., and Sukhikh, L.I., Study of long-term variations in the Black Sea fields using an interdisciplinary physical and biogeochemical model, Izv., Atmos. Ocean. Phys., 2013, vol. 49, no. 6, pp. 622–632.

    Article  Google Scholar 

  6. Dorofeev, V.L. and Sukhikh, L.I., Study of long-term variability of Black Sea dynamics on the basis of circulation model assimilation of remote measurements, Izv., Atmos. Ocean. Phys., 2017, vol. 53, no. 2, pp. 224–232.

    Article  Google Scholar 

  7. Cuslin, V.V., Churilova, T.Ya., Dzhulai, A., et al., A regional algorithm of the recovery of chlorophyll a concentration and optical absorption constant by dead organic matter at wave length of 490 nm in the Black Sea for spectral channels of color scanners MODIS and MERIS, in Ekologicheskaya bezopasnost’ pribrezhnoi i shel’fovoi zon i kompleksnoe ispol’zovanie resursov shel’fa (Environmental Safety of the Coastal and Shelf Zones and the Integrated Use of Shelf Resources), Sevastopol: EKOSI-Gidrofizika, 2014, issue 28, pp. 303–319.

  8. Cuslin, V.V., Churilova, T.Ya., and Sosik, Kh.M., Regional algorithm for calculating chlorophyll a concentration in the Black Sea by satellite data SeaWiFS, Mor. Ekol. Zhur., 2008, no. 2, pp. 24–42.

  9. Daskalov, G.M., Long-term changes in fish abundance and environmental indices in the Black Sea, Mar. Ecol.: Prog. Ser., 2003, no. 255, pp. 259–270.

  10. Friedrich, J., Nitrogen budget of the north-western Black Sea shelf as inferred from modeling studies and in-situ benthic measurements, Mar. Ecol.: Prog. Ser., 2004, pp. 15–39.

  11. Lacroix, G., Exchange processes and nitrogen cycling on the shelf and continental slope of the Black Sea basin, Global Biogeochem. Cycles, 2003, pp. 4201–4217.

  12. Nezlin, N., Kostianoy, A., and Soetaert, K., Modeling the nitrogen cycling and plankton productivity in an enclosed environment (the Black Sea) using a three-dimensional coupled hydrodynamical-ecosystem model, J. Geophys. Res., 2004, vol. 109, p. C05007.

    Article  Google Scholar 

  13. Raick, C. and Soetaert, K., Numerical modeling of the central Black Sea ecosystem functioning during the eutrophication phase, Progr. Oceanogr., 2008, pp. 286–333.

  14. Korotaev, G.K., Oguz, T., Dorofeyev, V.L., et al., Development of Black Sea nowcasting and forecasting system, Ocean Sci., 2011, pp. 1–21.

  15. Lancelot, C., Staneva, J., Van Eeckhout, D., et al., Modelling the Danube-influenced north-western continental shelf of the Black Sea. ii: Ecosystem response to changes in nutrient delivery by Danube River after its damming in 1972, Estuarine, Coastal Shelf Sci., 2002, pp. 473–499.

  16. Oguz, T., Ducklow, H.W., Malanotte-Rizzoli, P., et al., A physical-biochemical model of plankton productivity and nitrogen cycling in the Black Sea. Deep-Sea Res., 1999, part 1, vol. 46, pp. 597–636.

    Article  Google Scholar 

  17. Oguz, T., Ducklow, H.W., and Malanotte-Rizzoli, P., Modeling distinct vertical biochemical structure of the Black Sea: dynamical coupling of the oxic, suboxic, and anoxic layers, Global Biogeochem. Cycles, 2000, vol. 14, no. 4, pp. 1331–1352.

    Article  Google Scholar 

  18. Oguz, T., Ducklow, H.W., Purcell, J.E., et al., Modeling the response of top-down control exerted by gelatinous carnivores on the Black Sea pelagic food web, J. Geophys. Res., 2001, vol. 106, no. C3, pp. 4543–4564.

    Article  Google Scholar 

  19. Oguz, T. and Gilbert, D., Abrupt transitions of the top-down controlled Black Sea pelagic ecosystem during 1960–2000: evidence for regime shifts under strong fishery exploitation and nutrient enrichment modulated by climate-induced variations, Deep-Sea Res., 2007, vol. 54, pp. 220–242.

    Article  Google Scholar 

  20. Oguz, T. and Velikova, V., Abrupt transition of the northwestern Black Sea shelf ecosystem from a eutrophic to an alternative pristine state, Mar. Ecol.: Prog. Ser., 2010, vol. 405, pp. 231–242.

    Article  Google Scholar 

  21. Zaitsev, Y.P. and Mamaev, V., Marine biological diversity in the Black Sea: a study of change and decline, GEF Black Sea environmental programme, New York: United Nations Publications, 1997.

    Google Scholar 

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ACKNOWLEDGEMENTS

This study was carried out under Governmental Order, theme no. 0827-2018-0002 “Developing Methods of Operational Oceanology Based on Interdisciplinary Studies of the Processes of Formation and Evolution of Marine Environment and Mathematical Modeling with the Incorporation of Data of Remote and Contact Measurements (“Operational Oceanology”).

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Authors and Affiliations

  1. Marine Hydrophysical Institute, Russian Academy of Sciences, 299011, Sevastopol, Russia

    V. L. Dorofeev & L. I. Sukhikh

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  1. V. L. Dorofeev
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  2. L. I. Sukhikh
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Correspondence to L. I. Sukhikh.

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Translated by G. Krichevets

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Dorofeev, V.L., Sukhikh, L.I. Studying Long-Term Variations in Black-Sea Ecosystem Based on the Assimilation of Remote Sensing Data in a Numerical Model. Water Resour 46, 65–75 (2019). https://doi.org/10.1134/S0097807819010032

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  • DOI: https://doi.org/10.1134/S0097807819010032

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