Skip to main content
Article

Development of the High-resolution Operational Systemfor Numerical Prediction of Weather and Severe Weather Events for theMoscow Region

Г. С. РивинHydrometeorological Research Center of the Russian Federation, 123242, Moscow, RussiaI. A. RozinkinaHydrometeorological Research Center of the Russian Federation, 123242, Moscow, RussiaR. M. Vil’fandHydrometeorological Research Center of the Russian Federation, 123242, Moscow, RussiaD. B. KiktevHydrometeorological Research Center of the Russian Federation, 123242, Moscow, RussiaK. O. TudriiHydrometeorological Research Center of the Russian Federation, 123242, Moscow, RussiaД. В. БлиновHydrometeorological Research Center of the Russian Federation, 123242, Moscow, RussiaMikhail VarentsovHydrometeorological Research Center of the Russian Federation, 123242, Moscow, RussiaD. I. ZakharchenkoHydrometeorological Research Center of the Russian Federation, 123242, Moscow, RussiaTimofey SamsonovHydrometeorological Research Center of the Russian Federation, 123242, Moscow, RussiaIrina RepinaLomonosov Moscow State University, 119991, Moscow, RussiaArseniy ArtamonovObukhov Institute of Atmospheric Physics, Russian Academy of Sciences, 119017, Moscow, Russia
2020en
ABI

Abstract

The study presents the new system for operational short-range numerical weather prediction with the grid spacing of 1 km for the Moscow region that considers the features of urbanized surface and is based on the COSMO-Ru1M model configuration. This system is implemented in the Hydrometcenter of Russia. The results of the trial testing of the optimum model configuration for the Moscow region using observations from the dense network of weather stations and MTP-5 temperature profilers are presented. High prediction capabilities of the new forecasting system are demonstrated. The approaches to the minimization of the time of calculations for the technology chain implemented at the Roshydromet supercomputer are described. A case study of modeling with the grid spacing of 500 m versus 1000 m for summer convective weather events in the Moscow region has been analyzed.

Identifiers

Citations and references

Cited by 20 references