Vladimir Bondarenko

Doctoral Student in the PhD program since 16.03.2005.

advisors

1. Prof. Dr. Dietmar Saupe
2. Prof. Dr. Gerik Scheuermann, University Leipzig

organisational data

Room	:	Z 712
Tel.	:	+49 (0)7531 / 88-4373
E-mail	:	bondaren "at" inf.uni-konstanz.de
Other Resources	:	http://b0nd.de

project description

Adaptive thinning algorithms of atmospheric observations in data assimilation for numerical weather prediction

Data assimilation is a procedure of production of an accurate image of the true state of the atmosphere at a given time, which is used as the initial state for a numerical weather prediction (NWP). In this procedure, measurements of various observation systems are combined with an a priory estimate of the model state, called background information. Current and future observation systems, in particular satellite instruments, produce huge amounts of measurements with high spatial and temporal density. Such data sets significantly increase the computational costs of the assimilation and, moreover, can violate the assumption of spatially independent observation errors and more complex observation error statistics would be needed leading to additional increase in the computational costs. Thinning of observations is an efficient way to reduce the size and the effective error-correlation of the observation data sets. Among of other NWP centers, the German National Meteorological Service (Deutscher Wetter Dienst, DWD), applies some simple uniform thinning strategy, while more involved adaptive thinning algorithms are a subject of current research.
The main goal of this thesis consists in development of thinning algorithms similar to methods for mesh simplification in computer graphics and data compression techniques in digital signal and image processing. This implies a statistical modeling of the data assimilation procedure as well as a verification of the thinning algorithms on the real observations using the experimental system of DWD. Furthermore, approaches for visualization of the multidimensional data sets of atmospheric variables are of strong interests to this work.
This thesis is to be conducted in cooperation with the German National Meteorological Service.

publications

The following list of publications covers only those, which are or were published during participation at the Graduiertenkolleg / PhD program.

Conference Papers

2007

2007

Ochotta, T., Gebhardt, C., Bondarenko, V., Saupe, D., Wergen, W., On thinning methods for data assimilation of satellite observations, Proceedings 23rd International Conference on IIPS for Meteorology, Oceanography and Hydrology, San Antonio, Texas, 2007. abstract
Bondarenko, V., Ochotta, T., Saupe, D., Wergen, W., The interaction between model resolution, observation resolution and observation density in data assimilation: a two-dimensional study, Proceedings 11th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface, San Antonio, Texas, 2007.

curriculum vitae

2004	Research associate at the Martin-Luther-University (MLU) in Halle (Saale), Germany.
2001 - 2004	Graduation in Physics at the MLU in Halle (Saale), Germany. Field of research : solid-state physics, semiconductor physics, positron-annihilation-spectroscopy. Teaching assistent for the seminar "Physics of Materials" at the MLU.
1999 - 2000	Studies of Physical and Biomedical Electronics at the Sumy State University in Sumy, Ukraine. Degree : M.Sc. Research associate at the Sumy Insitute for Surface Modification (SISM) in Sumy, Ukraina.
1995 - 2000	Studies of Physical Electronics at the Sumy State University in Sumy, Ukraine. Degree : B.Sc.
1996 - 2001	Studies of Banking at the Ukrainian Academy of Banking in Sumy, Ukraine. Degree : Graduate Merchant.

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