THE FORECAST OF PRECIPITATION IN COLD SEASON BY THE WRF MODEL OF DIFFERENT VERSIONS IN THE URALS

  • E.V. Pischalnikova
    • Perm center for hydrometeorology and environment monitoring
  • A.D. Kryuchkov
    • Perm State University
Keywords: WRF model, heavy snowfall, numerical forecast, Urals

Abstract

The success of the forecast of precipitation of different intensity in cold season by the mesolarge-scale WRF model of versions 3.2.1 and 3.6.1 in the Urals is shown in this article. Assessment of quality of the numerical forecast at different advance time depending on features of a relief of the region and type of the field of pressure is executed. The mesolarge-scale model predicts the existence and the amount of precipitation during a cold period of a year more successfully for the territory of the Cis-Urals. It is established that the WRF model of version 3.6.1 began to calculate more precisely the amount of precipitation at heavy snowfalls in the Urals that was shown in reduction of number of false alarms and admissions of the phenomenon. An example when the mesolarge-scale model issues the forecast of rainfall of poor quality is given. It is revealed that initial data of the mesolarge-scale WRF model contain mistakes which elimination directly depends on the improvement of the global GFS model.

References

1. Metodicheskiy kabinet Gidromettsentra Rossii [Methodical cabinet of the Hydrometeorological Center of Russia]. Available at: http://method.meteorf.ru (accessed: 7.08.2017) (in Russ.).
2. Toropov P.A., Shestakova A.A. [Estimation of the quality of modeling of the Novorossiysk boron by the WRF-ARW model] in Meteorologiya i gidrologiya, 2014, vol. 7, pp. 38-51 (in Russ.).
3. Shiryayev M.V., Rubinshteyn K.G. [Forecast of hazard categories of meteorological phenomena ] Trudy Gidromettsentra Rossii, 2012, iss. 347, pp. 144-158 (in Russ.).
4. Gascon E., Sanchez J.L., Charalambous D., Fernаndez-Gonzаlez S., Lopez L., Garcia-Ortega E., Merino A. Numerical diagnosis of a heavy snowfall event in the center of the Iberian Peninsula, in Journal of Atmospheric research, 2015, vol. 153, pp. 250-263.
5. Milrad S.M., Gyakum J.R., Lombardo K., Atallah E.H. On the dynamics, thermodynamics, and forecast model evaluation of two snow-burst events in Southern Alberta, in Journal ofWeather and Forecasting, 2014, vol. 29, no. 3, pp. 725-749.
6. Wang H., Yu E., Yang S. An exceptionally heavy snowfall in Northeast china: Large-scale circulation anomalies and hindcast of the NCAR WRF model, in Journal of Meteorology and Atmospheric Physics, 2011, vol. 113, iss. 1, pp. 11-25.
7. Bychkova V.I., Rubinshteyn K.G. [Preliminary results of testing the short-range forecast algorithm for snowstorms] in Meteorologiya i gidrologiya, 2013, vol. 6, pp. 30-42 (in Russ.).
8. Gonchukov L.V., Lamash B.E. [Numerical prediction of hazardous weather phenomena in the north of Primorsky Krai] in Vestnik Dal'nevostochnogo otdeleniya RAN, 2010, vol. 6, pp. 17-23 (in Russ.).
9. Kalinin N.A., Popova E.V. [Numerical forecast of dangerous and unfavorable snowfalls in the Perm region on March 15-16, 2013] in Uchen. zap. RGGMU. SPb.: Izd. RGGMU, 2013, vol. 32, pp. 7-17(in Russ.).
10. Martynova YU.V., Zaripov R.B., Krupchatnikov V.N., Petrov A.P. [Estimation of the quality of the forecast of atmospheric dynamics in the Siberian region by the mesoscale model WRF-ARW] in Meteorologiya i gidrologiya, 2014, vol. 7, pp. 14-24 (in Russ.).
11. Kalinin N.A. Monitoring, modelirovaniye i prognoz sostoyaniya atmosfery v umerennykh shirotakh [Monitoring, modeling and forecasting of the state of the atmosphere in temperate latitudes], Perm: Perm. gos. nats. issled. un-t., 2015, 308 p. (in Russ.).
12. Kalinin N.A., Vetrov A.L., Pischalnikova E.V, Sviyazov E.M., Shikhov A.N. [Estimation of the quality of the forecast of a very heavy snowfall in the Urals using the WRF model] in Meteorologiya i gidrologiya, 2016, vol. 3, pp. 55-62 (in Russ.).
13. Metodicheskiye ukazaniya. Provedeniye proizvodstvennykh (operativnykh) ispytaniy novykh i usovershenstvovannykh metodov gidrometeorologicheskikh i geliogeofizicheskikh prognozov. RD № 52.27.284-91 / Komitet Gidrometeorologii pri Kabinete ministrov SSSR [Methodical instructions. Conducting operational (operational) tests of new and improved methods ofhydrometeorological and heliogeophysical forecasts. GD № 52.27.284-91/ Committee of Hydrometeorology under the Cabinet of Ministers of the USSR], M., 1991, 149 p. (in Russ.).
14. Nastavleniye po kratkosrochnym prognozam pogody obshchego naznacheniya / Federal'naya sluzhba po gidrometeorologii i monitoringu okruzhayushchey sredy (Rosgidromet). Rukovodyashchiy dokument RD 52.27.724-2009 [Manual on short-term weather forecasts for general purposes / Federal Service for Hydrometeorology and Environmental Monitoring (Roshydromet). Guideline document GD 52.27.724-2009.] Obninsk: IG-SOTSIN, 2009, 62 p. (in Russ.).
15. Pischalnikova E.V, Kalinin N.A., Vetrov A.L., Shikhov A.N., Sviyazov E.M., Bykov A.V. [Forecast of a strong and very strong snowfall in the Urals on the basis of the WRF model] in Trudy Gidromettsentra Rossii, 2016, iss. 359, pp. 58-72 (in Russ.).
Received 2018-04-27
Published 2018-06-25
Section
Research in physical geography
Pages
182-189