High-Resolution Simulation of Polar Lows over Norwegian and Barents Seas Using the COSMO-CLM and ICON Models for the 2019–2020 Cold Season

The lack of meteorological observations at high latitudes and the small size and relatively short lifetime of polar lows (PLs) constitute a problem in the simulation and prediction of these phenomena by numerical models. On the other hand, PLs, which are rapidly developing, can lead to such extreme...

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Main Authors: Anastasia Revokatova, Michail Nikitin, Gdaliy Rivin, Inna Rozinkina, Andrei Nikitin, Ekaterina Tatarinovich
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/12/2/137
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spelling doaj-f88b5ac31e50477d9f2c07c8497ab3882021-01-23T00:01:08ZengMDPI AGAtmosphere2073-44332021-01-011213713710.3390/atmos12020137High-Resolution Simulation of Polar Lows over Norwegian and Barents Seas Using the COSMO-CLM and ICON Models for the 2019–2020 Cold SeasonAnastasia Revokatova0Michail Nikitin1Gdaliy Rivin2Inna Rozinkina3Andrei Nikitin4Ekaterina Tatarinovich5Hydrometeorological Research Center of the Russian Federation, Bolshoi Predtechensky per. 11–13, 123242 Moscow, RussiaHydrometeorological Research Center of the Russian Federation, Bolshoi Predtechensky per. 11–13, 123242 Moscow, RussiaHydrometeorological Research Center of the Russian Federation, Bolshoi Predtechensky per. 11–13, 123242 Moscow, RussiaHydrometeorological Research Center of the Russian Federation, Bolshoi Predtechensky per. 11–13, 123242 Moscow, RussiaHydrometeorological Research Center of the Russian Federation, Bolshoi Predtechensky per. 11–13, 123242 Moscow, RussiaHydrometeorological Research Center of the Russian Federation, Bolshoi Predtechensky per. 11–13, 123242 Moscow, RussiaThe lack of meteorological observations at high latitudes and the small size and relatively short lifetime of polar lows (PLs) constitute a problem in the simulation and prediction of these phenomena by numerical models. On the other hand, PLs, which are rapidly developing, can lead to such extreme weather events as stormy waves, strong winds, the icing of ships, and snowfalls with low visibility, which can influence communication along the Arctic seas. This article is devoted to studying the possibility of the numerical simulation and prediction of polar lows by different model configurations and resolutions. The results of the numerical experiments for the Norwegian and Barents seas with grid spacings of 6.5 and 2 km using the ICON-Ru configurations of the ICON (ICOsahedral Nonhydrostatic) model and with a grid spacing of 6.5 km using the COSMO-CLM (Climate Limited-area Modeling) configuration of the COSMO (COnsortium for Small-scale MOdelling) model are presented for the cold season of 2019–2020. All the used model configurations demonstrated the possibility of the realistic simulation of polar lows. The ICON model showed slightly more accurate results for the analyzed cases. The best results showed runs with lead times of less than a day.https://www.mdpi.com/2073-4433/12/2/137polar lowlimited area modellingCOSMO-CLMICON modelmodelling skillwind gust
collection DOAJ
language English
format Article
sources DOAJ
author Anastasia Revokatova
Michail Nikitin
Gdaliy Rivin
Inna Rozinkina
Andrei Nikitin
Ekaterina Tatarinovich
spellingShingle Anastasia Revokatova
Michail Nikitin
Gdaliy Rivin
Inna Rozinkina
Andrei Nikitin
Ekaterina Tatarinovich
High-Resolution Simulation of Polar Lows over Norwegian and Barents Seas Using the COSMO-CLM and ICON Models for the 2019–2020 Cold Season
Atmosphere
polar low
limited area modelling
COSMO-CLM
ICON model
modelling skill
wind gust
author_facet Anastasia Revokatova
Michail Nikitin
Gdaliy Rivin
Inna Rozinkina
Andrei Nikitin
Ekaterina Tatarinovich
author_sort Anastasia Revokatova
title High-Resolution Simulation of Polar Lows over Norwegian and Barents Seas Using the COSMO-CLM and ICON Models for the 2019–2020 Cold Season
title_short High-Resolution Simulation of Polar Lows over Norwegian and Barents Seas Using the COSMO-CLM and ICON Models for the 2019–2020 Cold Season
title_full High-Resolution Simulation of Polar Lows over Norwegian and Barents Seas Using the COSMO-CLM and ICON Models for the 2019–2020 Cold Season
title_fullStr High-Resolution Simulation of Polar Lows over Norwegian and Barents Seas Using the COSMO-CLM and ICON Models for the 2019–2020 Cold Season
title_full_unstemmed High-Resolution Simulation of Polar Lows over Norwegian and Barents Seas Using the COSMO-CLM and ICON Models for the 2019–2020 Cold Season
title_sort high-resolution simulation of polar lows over norwegian and barents seas using the cosmo-clm and icon models for the 2019–2020 cold season
publisher MDPI AG
series Atmosphere
issn 2073-4433
publishDate 2021-01-01
description The lack of meteorological observations at high latitudes and the small size and relatively short lifetime of polar lows (PLs) constitute a problem in the simulation and prediction of these phenomena by numerical models. On the other hand, PLs, which are rapidly developing, can lead to such extreme weather events as stormy waves, strong winds, the icing of ships, and snowfalls with low visibility, which can influence communication along the Arctic seas. This article is devoted to studying the possibility of the numerical simulation and prediction of polar lows by different model configurations and resolutions. The results of the numerical experiments for the Norwegian and Barents seas with grid spacings of 6.5 and 2 km using the ICON-Ru configurations of the ICON (ICOsahedral Nonhydrostatic) model and with a grid spacing of 6.5 km using the COSMO-CLM (Climate Limited-area Modeling) configuration of the COSMO (COnsortium for Small-scale MOdelling) model are presented for the cold season of 2019–2020. All the used model configurations demonstrated the possibility of the realistic simulation of polar lows. The ICON model showed slightly more accurate results for the analyzed cases. The best results showed runs with lead times of less than a day.
topic polar low
limited area modelling
COSMO-CLM
ICON model
modelling skill
wind gust
url https://www.mdpi.com/2073-4433/12/2/137
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