caa a22 4500 445302283 CHVBK 20180317142601.0 cr unu---uuuuu 170323e20101201xx s 000 0 eng 10.1134/S0001433810060034 doi (NATIONALLICENCE)springer-10.1134/S0001433810060034 Problems of variational assimilation of observational data for ocean general circulation models and methods for their solution [Elektronische Daten] [V. Agoshkov, V. Ipatova, V. Zalesnyi, E. Parmuzin, V. Shutyaev] Problems of the variational assimilation of satellite observational data on the temperature and level of the ocean surface, as well as data on the temperature and salinity of the ocean from the ARGO system of buoys, are formulated with the use of the global three-dimensional model of ocean thermodynamics developed at the Institute of Numerical Mathematics, Russian Academy of Sciences (INM RAS). Algorithms for numerical solutions of the problems are developed and substantiated, and data assimilation blocks are developed and incorporated into the global three-dimensional model. Numerical experiments are performed with the use of the Indian Ocean or the entire World Ocean as examples. These numerical experiments support the theoretical conclusions and demonstrate that the use of a model with an assimilation block of operational observational data is expedient. Pleiades Publishing, Ltd., 2010 variational data assimilation nationallicence satellite observational data nationallicence ocean surface temperature nationallicence salinity field nationallicence ocean surface level nationallicence problem of initialization of geophysical fields nationallicence mathematical model of World Ocean circulation nationallicence Agoshkov V. Institute of Numerical Mathematics, Russian Academy of Sciences, ul. Gubkina 8, 119333, Moscow, Russia aut Ipatova V. Moscow Institute of Physics and Technology, Institutskii per. 9, 141700, Dolgoprudnyi, Moscow oblast, Russia aut Zalesnyi V. Institute of Numerical Mathematics, Russian Academy of Sciences, ul. Gubkina 8, 119333, Moscow, Russia aut Parmuzin E. Institute of Numerical Mathematics, Russian Academy of Sciences, ul. Gubkina 8, 119333, Moscow, Russia aut Shutyaev V. Institute of Numerical Mathematics, Russian Academy of Sciences, ul. Gubkina 8, 119333, Moscow, Russia aut Izvestiya, Atmospheric and Oceanic Physics SP MAIK Nauka/Interperiodica 46/6(2010-12-01), 677-712 0001-4338 46:6<677 2010 46 11485 https://doi.org/10.1134/S0001433810060034 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1134/S0001433810060034 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Agoshkov V. Institute of Numerical Mathematics, Russian Academy of Sciences, ul. Gubkina 8, 119333, Moscow, Russia aut NATIONALLICENCE 700 1- Ipatova V. Moscow Institute of Physics and Technology, Institutskii per. 9, 141700, Dolgoprudnyi, Moscow oblast, Russia aut NATIONALLICENCE 700 1- Zalesnyi V. Institute of Numerical Mathematics, Russian Academy of Sciences, ul. Gubkina 8, 119333, Moscow, Russia aut NATIONALLICENCE 700 1- Parmuzin E. Institute of Numerical Mathematics, Russian Academy of Sciences, ul. Gubkina 8, 119333, Moscow, Russia aut NATIONALLICENCE 700 1- Shutyaev V. Institute of Numerical Mathematics, Russian Academy of Sciences, ul. Gubkina 8, 119333, Moscow, Russia aut NATIONALLICENCE 773 0- Izvestiya, Atmospheric and Oceanic Physics SP MAIK Nauka/Interperiodica 46/6(2010-12-01), 677-712 0001-4338 46:6<677 2010 46 11485 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer