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

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 chlorophylla concentrations as well as the data on advection and diffusion obtained from calculations of intraannual 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".

Research on assimilation simulation of chlorophyll a concentrations in a virtual geographic environment

“…The chlorophyll a concentration simulated by the Chl-a model was compared with the data measured at 19 buoys; the average root mean square error (RMSE) was 2.03 μg/L, and the mean F I G U R E 6 Spatial discretization of Taihu Lake in the horizontal direction absolute error (MAE) was 1.56 μg/L. The accuracy of the model is better than that of the existing models for inland water, and the calibration results show that the model can be used for assimilation simulation (Buranapratheprat et al, 2008;Chen, Quan, et al, 2013;Timchenko, Naumenko, & Igumnova, 2018;Xu et al, 2009).…”

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