Sensitivity of the coupled model of the White Sea dynamics and biochemistry

Authors

  • Ilya Chernov Institute of Applied Math Research
  • Alexey Tolstikov Northern Water Problems Institute

DOI:

https://doi.org/10.17770/etr2015vol2.245

Keywords:

ecosystem simulation, modelling, thermohydrodynamics, the White Sea

Abstract

The JASMINE model based on the prof. N.G. Iakovlev's model of the Arctic Ocean (FEMAO) is the software complex for simulating hydrodynamics and thermal dynamics of a sea; we use the White Sea as an example and also have tried to model other seas. JASMINE allows coupling with special purpose blocks, such as data assimilation or simulation of the sea ecosystem. For that we chose the mature BFM model of pelagic sea biochemistry. An important question is sensitivity of the model with respect to the outer forcing, such as synoptic data (air temperature and pressure, cloud cover, precipitation, wind), boundary values on liquid boundaries, river run-off, initial distributions of the tracers. The White Sea is a convenient model region for such investigation because of dominating tides; thus boundary values become important, while initial distribution is expected not to influence on the results in the long run, at least. The biochemical system also depends on the boundary conditions strongly, and also reacts on the forcing variations. We describe the response of the sea subsystems to different variations of forcing, show what values are crucial and what is not important.

Downloads

Download data is not yet available.

References

T. Ringler, M. Petersen, R.L. Higdon, D. Jacobsen, P. W. Jones, M. Maltrud “A multi-resolution approach to global ocean modeling,” Ocean Modelling, vol. 69, pp. 211–232, 2013.

A.S. Sarkisyan, R.A. Ibrayev, N.G. Iakovlev “High resolution and four-dimensional analysis as a prospect for ocean modelling,” Russ. J. Num. Anal. Math. Model., vol. 5(25), pp 477–496, Jan 2010.

NEMO project [Online]. Available: www.nemo-ocean.eu, [Accessed March 20, 2015].

N.G. Iakovlev “On the simulation of temperature and salinity fields in the Arctic Ocean,” Izvestiya, Atmo. Ocean. Phys., Vol.48(1), pp. 86-101, 2012.

I. Chernov, A. Tolstikov “Comparing two models of large-scale White sea hydrodynamics and thermal dynamics,” in 9-th International scientific and practical conference «Environment. Technology. Resources», 20-22 June 2013, Rezekne, Latvia, vol. 1, pp. 13-16.

I. Chernov “Numerical Modelling of Large-Scale Dynamics of the White Sea,” Univ. J. Geosci., vol 1(3), pp. 150-153, 2013.

JASMINE sea modelling project [Online]. Available: https://sites.google.com/site/russianjasmine. [Accessed March 20, 2015].

N. Filatov, D. Pozdnyakov, O.M. Johannessen, L.H. Pettersson, L.P. Bobylev White Sea. Its Marine Environment and Ecosystem Dynamics Influenced by Global Change. Springer-Praxis, 2005.

V.Ja. Berger, A.D. Naumov, N.V. Usov, M.A. Zubaha, I. Smolyar, R. Tatusko, S. Levitus “36-Year Time Series (1963-1998) of Zooplankton, Temperature and Salinity in the White Sea,' St.-Petersburg, 2003. 362 p. [Online]. Available:www.nodc.noaa.gov/OC5/WH_SEA/WWW/HTML/atlas.html. [Accessed March 20, 2015].

N.N. Filatov, A.V. Tolstikov, M.S. Bogdanova, A.V. Litvinenko, V.V. Menshutkin “Development of an information system and electronic atlas of the status and use of resources of the White Sea and its catchment,” Arctic: ecology and economy, vol. 3 (15), pp.18-29, 2013 (in russian).

I.A. Neelov, O.P. Savchuk “3-D IO RAS-AARI Coupled Hydrodinamic-biogeochemical Model of the White Sea,” Final report of INCO-Copernicus Project "WHITESEA" No. ICA2-CT-2000-10014: «Sustainable management of the marine ecosystem and living resources of the White Sea»), 2003. 220 p.

E.V. Semenov “Numerical modeling of White sea dynamics and monitoring problem,” Izvestiya, Atmo. Ocean. Phys., vol. 40(1), pp. 114-126, 2004.

N.A. Kasyanova, M.V. Luneva, E.V. Semenov “Effect of hydrophysical processes on the dynamics of chemical biological cycles of the White sea,” Izvestiya, Atmo. Ocean.Phys., vol.37(6), pp. 777-786, 2001.

Biochemical Flux Model. [Online]. Available: bfm-community.eu, [Accessed March 20, 2015].

M. Vichi, G. Cossarini, M.E. Gutierrez, P. Lazzari, T. Lovato, G. Mattia, S. Masina, W. McKiver, N. Pinardi, C. Solidoro, M. Zavatarelli “The Biogeochemical Flux Model (BFM): Equation Description and User Manual,” BFM Consortium, Bologna, Italy, 2013.

Centre for collective use of the Karelian Research Centre of RAS. [Online]. Available: http://cluster.krc.karelia.ru, [Accessed March 20, 2015].

Institute of Numerical Mathematics of RAS, computer cluster. [Online], Available: http://www.inm.ras.ru/claster, [Accessed March 20, 2015].

Ensemble Kalman Filter. [Online], Available: enkf.nersc.no. [Accessed March 20, 2015].

Downloads

Published

2015-06-17

How to Cite

[1]
I. Chernov and A. Tolstikov, “Sensitivity of the coupled model of the White Sea dynamics and biochemistry”, ETR, vol. 2, pp. 82–84, Jun. 2015, doi: 10.17770/etr2015vol2.245.