CLIMSEAS Project

People and Institutions

Contact

 

Scientific coordinator

Elena Roget correu

Web contents manager

Anna Drou correu

People and Institutions

Vladimir Tishchenko


 Tishchenko

tischenko@mecom.ru 

Place of work:

Department of Long-range forecasting
Hydrometeorological Research Centre of the Russian Federation.

Professional experience:

1993 - 2001: Meteorologist at Hydrometeorological Centre of Russia.

2001 - 2003: Chief Meteorologist at Hydrometeorological Centre of Russia.

2004 - present: Senior research scientist at Hydrometeorological Centre of Russia.

Topics of interest:

Climate variability; statistical methods of forecast; large scale teleconnections in the ocean-atmosphere system; statistical interpretation of model outputs; wavelet analysis.

Active research projects:

RFBR (Russian Foundation for Basic Research) Project “Assessment of statistical heterogeneity of climate temporal series based on observations and results of physics-mathematical modeling of past and present climate to reveal periods of potential predictability of meteorological processes and large-scale weather anomalies for season-year-several years”.

RFBR (Russian Foundation for Basic Research) Project “ Anomalous synoptic processes: complex approach to their diagnostics and prognostic applications”.

Representative publications:

Selected publications (last 3 years):

Vilfand, R.M., V.A.Tischenco, Khan V.M. Statistical forecasting of monthly air temperature using outputs of hydrodynamical models, Meteorology and Hydrology, 2007, 3, 5-17 (in Russian).

Khan, V.M., Vilfand R.M., Sadokov V.P., Tischenko V.A., 2010, Monthly forecasting: current state and perspectives, in book “80 years of Hydrometcentre of Russia”, 235-246.

Khan, V.M., Kryjov V.N., Vilfand R.M., Tischenko V.A., Boundel A.YU., 2010, Multimodel approach in seasonal weather forecasting, Meteorologiya and Gidrologiya, in print.

Boundel A.YU., Kryjov V.N., Yen-Mi Min, Khan, V.M., Vilfand R.M., Tischenko V.A., , 2010, Assessment of multimodel probabilistic seasonal forecast based on APCC model outputs, Meteorologiya and Gidrologiya, in print.