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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Published in:Atmosphere
Main Authors: Anastasia Revokatova, Michail Nikitin, Gdaliy Rivin, Inna Rozinkina, Andrei Nikitin, Ekaterina Tatarinovich
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
Online Access:https://doi.org/10.3390/atmos12020137
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spelling ftmdpi:oai:mdpi.com:/2073-4433/12/2/137/ 2023-08-20T04:04:44+02:00 High-Resolution Simulation of Polar Lows over Norwegian and Barents Seas Using the COSMO-CLM and ICON Models for the 2019–2020 Cold Season Anastasia Revokatova Michail Nikitin Gdaliy Rivin Inna Rozinkina Andrei Nikitin Ekaterina Tatarinovich agris 2021-01-22 application/pdf https://doi.org/10.3390/atmos12020137 EN eng Multidisciplinary Digital Publishing Institute Climatology https://dx.doi.org/10.3390/atmos12020137 https://creativecommons.org/licenses/by/4.0/ Atmosphere; Volume 12; Issue 2; Pages: 137 polar low limited area modelling COSMO-CLM ICON model modelling skill wind gust convection permitted modelling Text 2021 ftmdpi https://doi.org/10.3390/atmos12020137 2023-08-01T00:54:58Z 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. Text Arctic MDPI Open Access Publishing Arctic Atmosphere 12 2 137
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic polar low
limited area modelling
COSMO-CLM
ICON model
modelling skill
wind gust
convection permitted modelling
spellingShingle polar low
limited area modelling
COSMO-CLM
ICON model
modelling skill
wind gust
convection permitted modelling
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
topic_facet polar low
limited area modelling
COSMO-CLM
ICON model
modelling skill
wind gust
convection permitted modelling
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.
format Text
author Anastasia Revokatova
Michail Nikitin
Gdaliy Rivin
Inna Rozinkina
Andrei Nikitin
Ekaterina Tatarinovich
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 Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://doi.org/10.3390/atmos12020137
op_coverage agris
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Atmosphere; Volume 12; Issue 2; Pages: 137
op_relation Climatology
https://dx.doi.org/10.3390/atmos12020137
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/atmos12020137
container_title Atmosphere
container_volume 12
container_issue 2
container_start_page 137
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