Precipitation Extremes and Their Synoptic Models in the Northwest European Sector of the Arctic during the Cold Season

Precipitation extrema over the Barents Sea and the neighbouring locations in Europe were analysed using data obtained from station observations and a highly detailed ERA5 re-analysis dataset. These data did not always spatially coincide (on average, coincidence was ~50%). Daily amounts of precipitat...

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Published in:Atmosphere
Main Authors: Alexander Kislov, Tatiana Matveeva, Uliana Antipina
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:https://doi.org/10.3390/atmos13071116
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spelling ftmdpi:oai:mdpi.com:/2073-4433/13/7/1116/ 2023-08-20T04:04:14+02:00 Precipitation Extremes and Their Synoptic Models in the Northwest European Sector of the Arctic during the Cold Season Alexander Kislov Tatiana Matveeva Uliana Antipina agris 2022-07-15 application/pdf https://doi.org/10.3390/atmos13071116 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/atmos13071116 https://creativecommons.org/licenses/by/4.0/ Atmosphere; Volume 13; Issue 7; Pages: 1116 the Arctic probabilistic analysis precipitation extremes synoptic models of precipitation extremes polar lows Text 2022 ftmdpi https://doi.org/10.3390/atmos13071116 2023-08-01T05:43:18Z Precipitation extrema over the Barents Sea and the neighbouring locations in Europe were analysed using data obtained from station observations and a highly detailed ERA5 re-analysis dataset. These data did not always spatially coincide (on average, coincidence was ~50%). Daily amounts of precipitation were typically higher in the observation data, although there may be a reverse picture. The analysis revealed that at several stations and in many of the ERA5 grids, the set of precipitation extremes exists as a mixture of two different subsets. The cumulative distribution functions (CDF) of the largest population in the context of both the re-analysis and observational data are well described by Pareto’s law. However, very rare cases exist in which the values deviate and exceed this base distribution value in regions possessing large values. These super-large anomalies do not obey the statistical law common to all other extremes. However, this does not mean that the extremes can be arbitrarily large. They do not exceed the marginal values that are typical for this type of climate and season. The analysis confirms that extreme precipitation in the western sector of the Arctic is caused by the penetration of moist air masses from the Atlantic in the circulation systems of intense cyclones. At certain times, mesoscale convective systems are embedded in atmospheric fronts and can significantly contribute to the formation of precipitation. Intensification of such cyclones corresponding to global warming should lead to a transformation of typical CDF, as modern outliers will become regular components of the Pareto law. This change in the statistics of extreme events reflects the nonstationarity of the climate state. The influence of polar lows on the formation of large daily precipitation amounts is not felt. Text Arctic Barents Sea Global warming MDPI Open Access Publishing Arctic Barents Sea Atmosphere 13 7 1116
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic the Arctic
probabilistic analysis
precipitation extremes
synoptic models of precipitation extremes
polar lows
spellingShingle the Arctic
probabilistic analysis
precipitation extremes
synoptic models of precipitation extremes
polar lows
Alexander Kislov
Tatiana Matveeva
Uliana Antipina
Precipitation Extremes and Their Synoptic Models in the Northwest European Sector of the Arctic during the Cold Season
topic_facet the Arctic
probabilistic analysis
precipitation extremes
synoptic models of precipitation extremes
polar lows
description Precipitation extrema over the Barents Sea and the neighbouring locations in Europe were analysed using data obtained from station observations and a highly detailed ERA5 re-analysis dataset. These data did not always spatially coincide (on average, coincidence was ~50%). Daily amounts of precipitation were typically higher in the observation data, although there may be a reverse picture. The analysis revealed that at several stations and in many of the ERA5 grids, the set of precipitation extremes exists as a mixture of two different subsets. The cumulative distribution functions (CDF) of the largest population in the context of both the re-analysis and observational data are well described by Pareto’s law. However, very rare cases exist in which the values deviate and exceed this base distribution value in regions possessing large values. These super-large anomalies do not obey the statistical law common to all other extremes. However, this does not mean that the extremes can be arbitrarily large. They do not exceed the marginal values that are typical for this type of climate and season. The analysis confirms that extreme precipitation in the western sector of the Arctic is caused by the penetration of moist air masses from the Atlantic in the circulation systems of intense cyclones. At certain times, mesoscale convective systems are embedded in atmospheric fronts and can significantly contribute to the formation of precipitation. Intensification of such cyclones corresponding to global warming should lead to a transformation of typical CDF, as modern outliers will become regular components of the Pareto law. This change in the statistics of extreme events reflects the nonstationarity of the climate state. The influence of polar lows on the formation of large daily precipitation amounts is not felt.
format Text
author Alexander Kislov
Tatiana Matveeva
Uliana Antipina
author_facet Alexander Kislov
Tatiana Matveeva
Uliana Antipina
author_sort Alexander Kislov
title Precipitation Extremes and Their Synoptic Models in the Northwest European Sector of the Arctic during the Cold Season
title_short Precipitation Extremes and Their Synoptic Models in the Northwest European Sector of the Arctic during the Cold Season
title_full Precipitation Extremes and Their Synoptic Models in the Northwest European Sector of the Arctic during the Cold Season
title_fullStr Precipitation Extremes and Their Synoptic Models in the Northwest European Sector of the Arctic during the Cold Season
title_full_unstemmed Precipitation Extremes and Their Synoptic Models in the Northwest European Sector of the Arctic during the Cold Season
title_sort precipitation extremes and their synoptic models in the northwest european sector of the arctic during the cold season
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/atmos13071116
op_coverage agris
geographic Arctic
Barents Sea
geographic_facet Arctic
Barents Sea
genre Arctic
Barents Sea
Global warming
genre_facet Arctic
Barents Sea
Global warming
op_source Atmosphere; Volume 13; Issue 7; Pages: 1116
op_relation https://dx.doi.org/10.3390/atmos13071116
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/atmos13071116
container_title Atmosphere
container_volume 13
container_issue 7
container_start_page 1116
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