Assimilation of Satellite Observations of the Chlorophyll-a Concentration and the Calculated Data on the Marine Environment Dynamics in the Adaptive Model of the Ecosystem of the Black Sea Northwestern Shelf
I. E. Timchenko, I. P. Naumenko✉, E. M. Igumnova
Marine Hydrophysical Institute, Russian Academy of Sciences, Sevastopol, Russian Federation
✉ e-mail: lazarchuk.syst.analysis@mhi-ras.ru
Abstract
The model of the sea upper layer ecosystem based on the equations of the adaptive balance of causes method is proposed. The scheme of the cause-effect relations from the paper by Fasham, Ducklow and McKelvie constituting the nitrogen cycle reactions in the sea upper layer is used in the model. Parameterization of biochemical reactions of the substance interaction is substituted in this model for the normalized ratios of the substances’ average concentrations resulted from analyzing the observations of the biochemical fields of the Black Sea northwestern shelf. The satellite-derived chlorophyll-a concentrations as well as the data on advection and diffusion obtained from calculations of intra-annual variability of the current velocity field in the sea upper sea layer using the hydrodynamic model, are used as the external influencing factors. Being regarded as the external influencing factors, the information was used for calculating the deviations of the biochemical fields’ concentrations from their average values assumed to be a stationary state of the ecosystem. The observations were assimilated through including the sources’ additional functions (representing the assimilated data) to the right parts of the adaptive ecosystem model equations. The regional maps of the biochemical fields permitting to analyze their spatial-temporal variability in 2015 were constructed. The drawn conclusion confirms utility of the proposed approach used for mapping the biochemical fields of the sea upper layer.
Keywords
adaptive balance of causes method, preservation of material balances, normalized influence coefficients, adaptive model of the sea upper layer ecosystem, maps of biochemical fields
Acknowledgements
The adaptive model of the marine ecosystem is developed at financial support of the Russian Fund of Fundamental Investigations and the Sevastopol Administration within the framework of the project No. 18-47-920001 “Study of the principles for constructing adaptive models of the ecological-economic systems and digital informational technologies for managing the scenarios of sustainable development of natural and economical complexes in the Seavastopol region”. The computing experiments with the model are performed within the framework of the state task on the theme No. 0827-2018-0004 “Complex interdisciplinary investigations of the oceanologic processes which condition functioning and evolution of the coastal ecosystems of the Black and Azov seas”.
Original russian text
Original Russian Text © I. E. Timchenko, I. P. Naumenko, E. M. Igumnova, 2018, published in MORSKOY GIDROFIZICHESKIY ZHURNAL, Vol. 34, Iss. 6, pp. 556–569 (2018)
For citation
Timchenko, I.E., Naumenko, I.P. and Igumnova, E.M., 2018. Assimilation of Satellite Observations of the Chlorophyll-a Concentration and the Calculated Data on the Marine Environment Dynamics in the Adaptive Model of the Ecosystem of the Black Sea Northwestern Shelf. Physical Oceanography, 25(6), pp. 509-520. doi:10.22449/1573-160X-2018-6-509-520
DOI
10.22449/1573-160X-2018-6-509-520
References
- Sarkisyan, A.S., 2016. Main Directions in the Simulation of Physical Characteristics of the World Ocean and Seas. Izvestiya. Atmospheric and Oceanic Physics, [e-journal] 52(4), pp. 335-340. https://doi.org/10.1134/S0001433816040101
- Knysh V.V., Nelepo B.A., Sarkisyan A.S., Timchenko I.E., 1978. Dinamiko-Stokhasticheskiy Podkhod k Analizu Nablyudeniy Polya Plotnosti na Gidrofizicheskikh Poligonakh [Dynamic-Stochastic Approach to Analysis of Density Field Observations on Hydrophysical Polygons]. Izvestiya AS USSR. Atmospheric and Oceanic Physics, 14(10), pp. 1079–1093 (in Russian).
- Timchenko, I.E., 1984. Stochastic Modeling of Ocean Dynamics. Chur-London-Paris-New-York: Harwood Academic Publishers, 320 p.
- Kochergin, V.P. and Timchenko, I.E., 1987. Monitoring Gidrofizicheskikh Poley Okeana [Monitoring of Oceanic Hydrophysical Fields]. Leningrad: Gidrometeoizdat, 279 p. (in Russian).
- Ghil, M. and Malanotte-Rizzoli, P., 1991. Data Assimilation in Meteorology and Oceanography. In: R. R. Dmowska and B. Saltzman, eds., 1991. Advances in Geophysics. San Diego: Academic Press. Inc., Vol. 33, pp. 141-266. https://doi.org/10.1016/S0065-2687(08)60442-2
- Marchuk, G.I. and Zalesny, V.B., 1993. A Numerical Technique for Geophysical Data Assimilation Problems using Pontryagin’s Principle and Splitting-up Method. Russian Journal of Numerical Analysis and Mathematical Modelling, [e-journal] 8(4), pp. 311-326. https://doi.org/10.1515/rnam.1993.8.4.311
- Robinson, A.R. and Lermusiaux, P.F.J., 2000. Overview of Data Assimilation. Harvard Reports in Physical/Interdisciplinary (Ocean Science). Cambridge, Massachusetts: Harvard University. No. 62, 28 р. Available at: http://robinson.seas.harvard.edu/PAPERS/red_report_62.html [Accessed: 06 December 2018].
- Korotaev, G.K. and Eremeev, V.N., 2006. Vvedenie v Operativnuyu Okeanografiyu Chernogo Morya [Introduction to Operative Oceanography of the Black Sea]. Sevastopol, ECOSI-Gidrofizika, 382 p. (in Russian).
- Mizyuk, A.I., Knysh, V.V., Kubryakov, A.I. and Korotaev, G.K., 2009. Assimilation of the Climatic Hydrological Data in the σ-Coordinate Model of the Black Sea by the Algorithm of Adaptive Statistics. Physical Oceanography, [e-journal] 19(6), pp. 339-357. https://doi.org/10.1007/s11110-010-9058-2
- Korotaev, G.K., Oguz, T., Dorofeyev, V.L., Demyshev, S.G., Kubryakov, A.I. and Ratner, Yu.B, 2011. Development of Black Sea Nowcasting and Forecasting System. Ocean Science, 7(5), pp. 629-649. https://doi.org/10.5194/os-7-629-2011
- Fasham, M., Ducklow, H. and McKelvie, S., 1990. A Nitrogen-Based Model of Plankton Dynamics in the Oceanic Mixed Layer. Journal of Marine Research, [e-journal] 48(3), pp. 591-639. https://doi.org/10.1357/002224090784984678
- Timchenko, I.Е., Igumnova, Е.М. and Timchenko, I.I., 2000, Sistemnyj Menedzhment i ABC-Tehnologii Ustojchivogo Razvitija [System Management and ABC-Technologies of Sustainable Development]. Sevastopol: ECOSI-Gidrofizika, 225 p. (in Russian).
- Timchenko, I.E., Igumnova, E.M. and Timchenko, I.I., 2016. Adaptive Balance Models for Environmental-Economic Systems. CreateSpace Independent Publishing Platform, 486 p.
- Тimchenko, I.Е., Lazarchuk, I.P., Igumnova, E.M, 2017. Assimilation of the Observational Data in the Marine Ecosystem Adaptive Model at the Known Mean Values of the Processes in the Marine Environment. Physical Oceanography, [e-journal] (5), pp. 71-86, doi:10.22449/1573-160X-2017-5-71-86
- Finenko, Z.Z., Churilova, T.Ya. and Suslin, V.V., 2011. Otsenka Biomassy Fitoplanktona i Pervichnoy Produktsii v Chernom More po Sputnikovym Dannym [Assessment of Phytoplankton Biomass and Primary Products in the Black Sea from Satellite Data]. In: V. N. Eremeev, A. V. Gaevskaya, G. E. Shulman, Ju. A. Zagorodnyaya, eds., 2011. Promyslovye Bioresursy Chernogo i Azovskogo Morey [Biological Resources of the Black Sea and Sea of Azov]. Sevastopol: EKOSI-Gidrofizika, pp. 221–236 (in Russian).
- Nesterova, D., Moncheva, S., Mikaelyan, A., Vershinin, A., Akatov, V., Boicenco, L., Aktan, Y., Sahin, F. and Gvarishvili T., 2008. The State of Phytoplankton. In: BSC, 2008. State of the Environment of the Black Sea 2001–2006/7. Publications of the Commission on the Protection of the Black Sea Against Pollution (BSC) 2008-3. Istanbul. Ch. 5, pp. 173-200. [online] Available at: http://www.blacksea-commission.org/_publ-SOE2009-CH5.asp [Accessed: 06 December 2018].
- Shiganova, T., Musaeva, E., Arashkevich, E., Kamburska, L., Stefanova, K., Mihneva, V., Polishchuk, L., Timofte, F., Ustun, F, Oguz, T., Khalvashi, M. and Tarkan, A.N., 2008. BSC, 2008. State of the Environment of the Black Sea 2001–2006/7. Publications of the Commission on the Protection of the Black Sea Against Pollution (BSC) 2008-3. Istanbul. Ch. 6, pp. 201-246. [online] Available at: http://www.blacksea-commission.org/_publ-SOE2009-CH6.asp [Accessed: 06 December 2018].
- Oguz, T., Velikova, V., Cociasu, A. and Korchenko, A., 2008. The State of Eutrophication. In: BSC, 2008. State of the Environment of the Black Sea 2001–2006/7. Publications of the Commission on the Protection of the Black Sea Against Pollution (BSC) 2008-3. Istanbul. Ch. 2, p. 23-52. [online] Available at: http://www.blacksea-commission.org/_publ-SOE2009-CH2.asp [Accessed: 06 December 2018].
- Zaytsev, Yu.P., Aleksandrov, B.G. and Minicheva, G.G. 2006. Severo-Zapadnaya Chast' Chernogo Morya: Biologiya i Ekologiya [North Western Part of the Black Sea]. Kyiv: Naukova dumka, 701 p. (in Russian).
- Orlova, I.G., Pavlenko, M.Yu. and Ukraїns'kiy, V.V., 2008. Gidrologichni ta Gidrokhimichni Pokazniki Stanu Pivnichno-Zakhidnogo Shel'fu Chornogo Morya [Hydrological and hydrochemical Indicators of the State of the North-Western Shelf of the Black Sea]. Kiiv: KNT, 616 p. (in Ukranian).
- Shumakova, G.V., 2002. Mnogoletnyaya Sezonnaya Dinamika Raspredeleniya Bakterioplanktona v Severo-Zapadnoy Chasti Chernogo Morya [Long-Term Seasonal Dynamic of Bakterioplankton in the North-West Black Sea] Ecology of the Sea = Ekologiya moray, (61), pp. 69–73. Available at: https://repository.marine-research.org/handle/299011/4538 [Accessed: 06 December 2018] (in Russian).
- Copernicus Marine Service Team, 2018. Copernicus. Marine Environment Monitoring Service. [on-line] http://www.myocean.eu/ [Accessed: 06 December 2018].