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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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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1774715115795382272 |