Numerical Realization of Hybrid Data
Assimilation Algorithm in Ensemble
Experiments with the MPIESM Coupled
Model
Konstantin P. Belyaev, Ingo Kirchner, Andrey A. Kuleshov
and Natalia P. Tuchkova
Introduction
The results of numerical experiments dedicated to the data assimilation technology
and their applications to the computations of different parameters in the World
Ocean are presented in this contribution. The last decade witnesses a huge interest
to the climate research both in quality and quantity, which stems from the numerical
model developments, methods of data storage, control, and climate predictions.
This might be also explained as consequences of the increase in the computer
power, data transforming, and processing, parallel technology developments,
on-line result visualization, and many other achievements of science.
The new global project such as the Tropical Oceans Global Atmosphere (TOGA,
URL: http://isccp.giss.nasa.gov/projects/togacoare.html), Pilot Research Array in
the Tropical Atlantic (PIRATA, URL: http://www.pmel.noaa.gov), World Ocean
Circulation Experiment (WOCE, URL: https://www.nodc.noaa.gov/woce), Argo
(URL: http://www.argo.ucsd.edu), Archiving, Validating and Interpolating Satellite
K. P. Belyaev ( ✉ )
Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia
e-mail: kosbel55@gmail.com
I. Kirchner
Institute of Meteorology, Free University of Berlin, Berlin, Germany
e-mail: ingo.kirchner@met.fu-berlin.de
A. A. Kuleshov
Keldysh Institute of Applied Mathematics, Russian Academy of Sciences,
Moscow, Russia
e-mail: andrew_kuleshov@mail.ru
K. P. Belyaev ⋅ N. P. Tuchkova
Federal Research Center “Computer Science and Control”,
Russian Academy of Sciences, Moscow, Russia
e-mail: natalia_tuchkova@mail.ru
© Springer International Publishing AG, part of Springer Nature 2018
M. G. Velarde et al. (eds.), The Ocean in Motion, Springer Oceanography,
https://doi.org/10.1007/978-3-319-71934-4_27
447
Assimilation Algorithm in Ensemble
Experiments with the MPIESM Coupled
Model
Konstantin P. Belyaev, Ingo Kirchner, Andrey A. Kuleshov
and Natalia P. Tuchkova
Introduction
The results of numerical experiments dedicated to the data assimilation technology
and their applications to the computations of different parameters in the World
Ocean are presented in this contribution. The last decade witnesses a huge interest
to the climate research both in quality and quantity, which stems from the numerical
model developments, methods of data storage, control, and climate predictions.
This might be also explained as consequences of the increase in the computer
power, data transforming, and processing, parallel technology developments,
on-line result visualization, and many other achievements of science.
The new global project such as the Tropical Oceans Global Atmosphere (TOGA,
URL: http://isccp.giss.nasa.gov/projects/togacoare.html), Pilot Research Array in
the Tropical Atlantic (PIRATA, URL: http://www.pmel.noaa.gov), World Ocean
Circulation Experiment (WOCE, URL: https://www.nodc.noaa.gov/woce), Argo
(URL: http://www.argo.ucsd.edu), Archiving, Validating and Interpolating Satellite
K. P. Belyaev ( ✉ )
Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia
e-mail: kosbel55@gmail.com
I. Kirchner
Institute of Meteorology, Free University of Berlin, Berlin, Germany
e-mail: ingo.kirchner@met.fu-berlin.de
A. A. Kuleshov
Keldysh Institute of Applied Mathematics, Russian Academy of Sciences,
Moscow, Russia
e-mail: andrew_kuleshov@mail.ru
K. P. Belyaev ⋅ N. P. Tuchkova
Federal Research Center “Computer Science and Control”,
Russian Academy of Sciences, Moscow, Russia
e-mail: natalia_tuchkova@mail.ru
© Springer International Publishing AG, part of Springer Nature 2018
M. G. Velarde et al. (eds.), The Ocean in Motion, Springer Oceanography,
https://doi.org/10.1007/978-3-319-71934-4_27
447