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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ftdoajarticles:oai:doaj.org/article:f88b5ac31e50477d9f2c07c8497ab388 2024-01-07T09:41:45+01:00 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 2021-01-01T00:00:00Z https://doi.org/10.3390/atmos12020137 https://doaj.org/article/f88b5ac31e50477d9f2c07c8497ab388 EN eng MDPI AG https://www.mdpi.com/2073-4433/12/2/137 https://doaj.org/toc/2073-4433 doi:10.3390/atmos12020137 2073-4433 https://doaj.org/article/f88b5ac31e50477d9f2c07c8497ab388 Atmosphere, Vol 12, Iss 2, p 137 (2021) polar low limited area modelling COSMO-CLM ICON model modelling skill wind gust Meteorology. Climatology QC851-999 article 2021 ftdoajarticles https://doi.org/10.3390/atmos12020137 2023-12-10T01:43:57Z 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. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Atmosphere 12 2 137 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
polar low limited area modelling COSMO-CLM ICON model modelling skill wind gust Meteorology. Climatology QC851-999 |
spellingShingle |
polar low limited area modelling COSMO-CLM ICON model modelling skill wind gust Meteorology. Climatology QC851-999 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 Meteorology. Climatology QC851-999 |
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 |
Article in Journal/Newspaper |
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 |
MDPI AG |
publishDate |
2021 |
url |
https://doi.org/10.3390/atmos12020137 https://doaj.org/article/f88b5ac31e50477d9f2c07c8497ab388 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Atmosphere, Vol 12, Iss 2, p 137 (2021) |
op_relation |
https://www.mdpi.com/2073-4433/12/2/137 https://doaj.org/toc/2073-4433 doi:10.3390/atmos12020137 2073-4433 https://doaj.org/article/f88b5ac31e50477d9f2c07c8497ab388 |
op_doi |
https://doi.org/10.3390/atmos12020137 |
container_title |
Atmosphere |
container_volume |
12 |
container_issue |
2 |
container_start_page |
137 |
_version_ |
1787422555784609792 |