Artem Iukhno, Kirill Shemanaev, Larisa Timofeeva


The hydrological forecasting methods that have been used for many years in Russia require precision input data, which are difficult to obtain. Until now, none of forecasting systems, developed by Russian hydrologists, has been officially implemented in practice. In the face of an increasing number of catastrophic and destructive hydrometeorological hazards, the development of a modern automated system for operational flash floods forecasting is highly relevant in Russia. In this paper, a new technological chain for background streamflow forecasting is presented. The authors have attempted to create such a chain under the conditions of the country’s poor hydrometeorological network and difficulties in obtaining data and their assimilation. The chain presents a joined logistic scheme, which was developed based on analytical elaboration of scientific works of key Russian hydrologists. The paper also includes the analysis of the most efficient use of the hydrometeorological data available through the national observation network. This seems to be assimilation of satellite and radar data, in situ observations, numerical weather prediction models and catchment models outputs.


data assimilation; hydrological forecasting; radar and satellite data; surface observation network

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Federal Service for Hydrometeorology and Monitoring Of Environment (Roshydromet). Annual review of the system of hydrological observations, data processing and preparation information product in 2017. Roshydromet Press, St. Petersburg, 2018. [Online] Available: The official website of the FSBO SHI [Accessed February 9, 2019].

V. Kuzmin, D.-J. Seo, V. Koren, "Fast and efficient optimization of hydrologic model parameters using a priori estimates and stepwise line search" in Journal of Hydrology, Vol. 353, Issues 1–2, Elsevier B.V, USA: RELH, 2008, pp. 109–128.

The official website of the research-produced center of LLC "RPC Map Maker". [Web-site. Online]. Available: [Accessed January 29, 2019].

The official web-site of the Scientific and Technical Centre for the development and operation of the network Doppler weather radar (NTSC DWRL). Federal State Budgetary Institution "Central Aerological Observatory" of Roshydromet. [Web-site. Online]. Available: [Accessed January 29, 2019].

The official web-site of the FGBU Planet. Federal Service for Hydrometeorology and Environmental Monitoring. [Web-site. Online]. Available: [Accessed January 30, 2019].

G. Seuffert, P. Gross, C. Simmer. "The influence of hydrologic modeling on the predicted local weather: two-way coupling of a mesoscale weather prediction model and a land surface hydrological model" in J. Hydrometeorol., Vol. 3 (2002), New York, USA: American Meteorological Society, pp. 505-523.

Nazmi Gendzh, "Statistical analysis of hydrological data using the HBV-Light Model for the Boyne catchment", Maynooth University, 2015. [Online] Available: [Accessed February 17, 2019].

Kuzmin V.A., Galkin V.A., Dikkins A.V., Shilov D.V., Surkov A.G., "Automated decision support based on ensemble hydrometeorological forecasts" in Scientific notes of the RSHU, Vol. 29, St. Petersburg: RSHU Press, 2013, pp. 206-209.

Borsh S.V., Asarin A.E., Bolgov M.V., Polunin A.Y., "Floods". [Online] Available: [Accessed January 7, 2019].

The online Flowchart Maker & Online Diagram Software Application. JGraph Ltd, Northampton, UK, company number 04051179 [Web-site. Online]. Available: [Accessed February 1, 2019].



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