ISSN 2079-3537      

 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                                                                                             

Scientific Visualization, 2019, volume 11, number 1, pages 119 - 138, DOI: 10.26583/sv.11.1.10

Estimation of the Meridional Heat and Mass Transport in the South Atlantic by Using the Joint Atmosphere and Ocean Circulation Model with Data Assimilation and Visualization Facilities

Authors: K.P. Belyaev1,A,B,C, A.A. Kuleshov2,C, N.P. Tuchkova3,B,C

A Shirshov Institute of Oceanology, Russian Academy of Sciences

B Federal Research Center “Computer Science and Control”, Russian Academy of Sciences

C Keldysh Institute of Applied Mathematics, Russian Academy of Sciences

1 ORCID: 0000-0003-2111-2709

2 ORCID: 0000-0002-4203-9953, andrew_kuleshov@mail.ru

3 ORCID: 0000-0001-6518-5817

 

Abstract

The joint ocean-Earth-atmosphere model of the Max Planck Institute for Meteorology with application of original data assimilation methods are used to estimate the meridional heat and mass flows. The CTD-sections of temperature and salinity across the Atlantic Ocean for 1991—1995 obtained in the course of the WOCE (The World Ocean Circulation Experiment) international experiment are used as observation data. The sections contain about 650 stations; each of them provides from 100 to 3000 measurements from the sea surface to the bottom. In our study both the control estimates for the velocities of currents and those with assimilation of the data of these experiments are obtained. Using visualization facilities, we have shown how data assimilation changes the model characteristics, including velocities of currents and temperature fields at different sea levels. The graphs demonstrate the influence of the change in the initial field after data assimilation on the results of the model calculations after 6 and 11 months of integration for both the observed model characteristics and those which are not observed directly. The Generalized Kalman Filter (GKF) method which coincides in a particular case with the classical Ensemble Kalman Filter (EnKF) is used as the data assimilation method. The results of calculations of the heat and mass flows are analyzed and compared with those of control calculations with no data assimilation. The calculations were performed on the supercomputers “Mistral” in DKRZ (Deutsches Klimarechenzentrum, Hamburg, Germany) and “Lomonosov-2” in the Lomonosov Moscow State University.

This work was supported by the Russian Science Foundation, project no. 14-11-00434.

 

Keywords: ocean dynamics, supercomputer modeling, MPI-ESM joint model; GKF data assimilation method, WOCE data.