The forecasts were obtained using automated calculation methods certified by Roshydromet, developed in Hydrometcenter of Russia and SibNIGMI. When releasing official products of the hydrometeorological service, automated forecasts are refined and supplemented by specialists of the territorial departments of Roshydromet Romet

The products are prepared in conjunction with West Siberian Regional Computing Center

Siberian Regional Hydrometeorological Research Institute (SibNIGMI, Novosibirsk) was founded in 1971. The Institute's experts solve the totality of hydrometeorological problems for operational hydrometeorological forecasting units of Russia located between the Urals and the Trans-Baikal.

There are several main directions prevailing among research interests.
SibNIGMI developed, tested and implemented more than 50 new methods, models, and technologies in operational forecasting offices of the region during the period of 2006-2013. Calculations are performed in a quasi-operational mode, their results are hosted in public domain on the institute's website

One of research priorities of SibNIGMI lies in the development of nowcasting technologies, very short-range and short-term forecasts of dangerous weather phenomena based on nowcasting methods, mesoscale numerical models, and data assimilation techniques:

- Development of the technology of short-term forecasting of local severe weather in Western Siberia on the basis of physical and statistical interpretation and aggregation of available outputs of hydrodynamic modeling in the RSMC Novosibirsk;

- Development of the technology of very short-range mesoscale forecasting based on COSMO-RU/Sib model (with grid size of less than 2.5 km) for selected areas of Western Siberia with elements of nowcasting.

Special attention is given to the development of numerical weather prediction for a period of 1 to 14 days based on global atmospheric models, hydrometeorological observation data assimilation techniques, and ensemble forecasting methodology, in particular development of medium-term forecast based on PLAV model using Ensemble Kalman Filter (EnKF).

Extremely relevant for the Ural-Siberian region is the work on creation of new methods to predict hazardous hydrological processes (flash-floods) in rivers, and to predict elements of the hydrological regime of rivers and reservoirs in the territory of Russia.

Traditionally strong line of research was and remains the creation of modern forecasting methods and technologies for agrometeorological support of the rural economy. The research plan for the next three years (2014-2016) includes the development of methods and automated technologies of operational monitoring of vegetation conditions and the dynamic and statistical forecasts of regional crop yields in Russia using satellite- and ground-based information. Methods for long-term prediction of yield and croppage are developed.

Research to improve methods of long-range forecasts of weather and find new approaches to this problem are performed within the frame of technology for global/regional monthly/seasonal forecasts based on hydrodynamical and statistical approaches. Physical and statistical methods for predicting surface temperature for the cold season (October-March) in Western and Eastern Siberia are improved in the course of further development of long-term weather forecasting technology, "Cassandra-Siberia".

Research project Models and methods of hydrological design, assessment and prediction of water body condition" currently includes calculations of the water balance in river basins located in different physiographic zones of the south of Western Siberia, and assessment the contribution of water balance components into the change of regional water resources. New approach to the creation of modern technology for water resources operational monitoring and forecasting in the Upper Ob river basin, including extreme hydrological processes and phenomena.

Particular attention is paid to the development of information technologies. Research project "Development of visualization systems for actual and prognostic meteorological information" resulted in creation of technology for multilayer vector data visualization using modern web-GIS technologies. The SibNIGMI web-site deployed technological chain of hydrometeorological data visualization, including actual, prognostic, and mesoscale numerical weather prediction data, data of physical and statistical interpretation, as well as satellite remote sensing data. At present, interactive WEB-services for selection and preparation of data for specialized meteorological maps with reference to information and software infrastructure of the IITS node, and software for selective storage of mesoscale model products are developed

A series of studies dedicated to climate, its changes and their consequences includes very important and urgent problem of climate research by means of physical and mathematical modeling, and prediction of future climate changes, is solved also in SibNIGMI, in particular, calculation of a carbon cycle within global climate model is performed.

Climatological studies aim at creation of climatic databases including main components of the climate system (land, atmosphere, ocean) to study climate and climate change, to serve all user groups, to create integrated control methods, and to improve quality and consistency of climate data, specifically to form specialized datasets of moistening characteristics (periods of presence and absence of precipitation, including extreme ones) developed based on moistening criteria.

Proposals for adaptation and mitigation of heat waves impact on human life and health in Siberian region are developed. Assessment of feasibility of adaptation measures under conditions of climate change and variability and created risks of damage, as well as operational assessment of extreme values of air temperature (minimum, maximum) and daily precipitation with daily, ten-day, monthly, seasonal, and annual resolution are performed.

Environmental pollution research is fulfilled in three projects:

- Development of experimental technology for air pollution prediction based on WRF-CHEM model for designated territory, including a part of Novosibirsk, Tomsk, Kemerovo regions, and of Altai Territory, as well as for the Baikal natural area.

- Evaluation of long-term trends in the change of state and pollution of water bodies in the southeast of Western Siberia under anthropogenic stress using GIS technologies.

- Development and testing of new and improvement of existing technologies and methods to assess air pollution. Assessment of the status, dynamics, and trends of air pollution, and chemical composition of precipitation.

The study of near-Earth space is performed, in particular, Institute is developing global model of thermosphere circulation, ionospheric parameters, and electric fields for space weather forecasting service.