Marine cold air outbreaks in the Barents Sea: dependence on sea-ice based on observations and model simulations

We evaluated the effects of sea ice concentration (SIC) on marine cold air outbreaks (MCAO) in the Barents Sea (BS) based on satellite observations and numerical modeling data. MCAOs were determined through MCAO-index calculated as a difference in vertical potential temperature between the surface a...

Full description

Bibliographic Details
Main Authors: Narizhnaya, A., Chernokulsky, A., Handorf, D.
Format: Conference Object
Language:English
Published: 2023
Subjects:
Online Access:https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021737
id ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_5021737
record_format openpolar
spelling ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_5021737 2023-07-30T04:02:35+02:00 Marine cold air outbreaks in the Barents Sea: dependence on sea-ice based on observations and model simulations Narizhnaya, A. Chernokulsky, A. Handorf, D. 2023-07-11 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021737 eng eng info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-4302 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021737 XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) info:eu-repo/semantics/conferenceObject 2023 ftgfzpotsdam https://doi.org/10.57757/IUGG23-4302 2023-07-16T23:40:25Z We evaluated the effects of sea ice concentration (SIC) on marine cold air outbreaks (MCAO) in the Barents Sea (BS) based on satellite observations and numerical modeling data. MCAOs were determined through MCAO-index calculated as a difference in vertical potential temperature between the surface and 800-hPa level. For the present climate, we used ERA-Interim reanalysis to calculate the MCAO-index and satellite microwave observations to estimate SIC. We also analyzed results of four sensitivity experiments with the atmospheric general circulation model ECHAM6 with different boundary conditions, i.e., with low and high SIC and low and high sea surface temperature (SST). We found a prominent decrease of the MCAO-index over BS in 1979–2018 that indicates the overall weakening of the MCAO intensity, e.g., a statistically significant decrease was revealed for frequency of both moderate and strong MCAOsin winter (down to -5%/decade). Because of SIC decrease during the 1979–2018 period, we found a positive correlation between SIC and the MCAO-index over BS during winter season. For the same season and area, model experiments, however, showed that higher values of the MCAO-index were associated with lower SIC, which implied their negative correlation. In particular, in the south of BS, values of the MCAO-index were up to 30% higher in the low-SIC experiments compared to the high-SIC experiments. The revealed opposite MCAO-SIC relationship in observations and model simulations is likely associated with the lack of changes of greenhouse gases concentration in model experiments. Conference Object Barents Sea Sea ice GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) Barents Sea
institution Open Polar
collection GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)
op_collection_id ftgfzpotsdam
language English
description We evaluated the effects of sea ice concentration (SIC) on marine cold air outbreaks (MCAO) in the Barents Sea (BS) based on satellite observations and numerical modeling data. MCAOs were determined through MCAO-index calculated as a difference in vertical potential temperature between the surface and 800-hPa level. For the present climate, we used ERA-Interim reanalysis to calculate the MCAO-index and satellite microwave observations to estimate SIC. We also analyzed results of four sensitivity experiments with the atmospheric general circulation model ECHAM6 with different boundary conditions, i.e., with low and high SIC and low and high sea surface temperature (SST). We found a prominent decrease of the MCAO-index over BS in 1979–2018 that indicates the overall weakening of the MCAO intensity, e.g., a statistically significant decrease was revealed for frequency of both moderate and strong MCAOsin winter (down to -5%/decade). Because of SIC decrease during the 1979–2018 period, we found a positive correlation between SIC and the MCAO-index over BS during winter season. For the same season and area, model experiments, however, showed that higher values of the MCAO-index were associated with lower SIC, which implied their negative correlation. In particular, in the south of BS, values of the MCAO-index were up to 30% higher in the low-SIC experiments compared to the high-SIC experiments. The revealed opposite MCAO-SIC relationship in observations and model simulations is likely associated with the lack of changes of greenhouse gases concentration in model experiments.
format Conference Object
author Narizhnaya, A.
Chernokulsky, A.
Handorf, D.
spellingShingle Narizhnaya, A.
Chernokulsky, A.
Handorf, D.
Marine cold air outbreaks in the Barents Sea: dependence on sea-ice based on observations and model simulations
author_facet Narizhnaya, A.
Chernokulsky, A.
Handorf, D.
author_sort Narizhnaya, A.
title Marine cold air outbreaks in the Barents Sea: dependence on sea-ice based on observations and model simulations
title_short Marine cold air outbreaks in the Barents Sea: dependence on sea-ice based on observations and model simulations
title_full Marine cold air outbreaks in the Barents Sea: dependence on sea-ice based on observations and model simulations
title_fullStr Marine cold air outbreaks in the Barents Sea: dependence on sea-ice based on observations and model simulations
title_full_unstemmed Marine cold air outbreaks in the Barents Sea: dependence on sea-ice based on observations and model simulations
title_sort marine cold air outbreaks in the barents sea: dependence on sea-ice based on observations and model simulations
publishDate 2023
url https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021737
geographic Barents Sea
geographic_facet Barents Sea
genre Barents Sea
Sea ice
genre_facet Barents Sea
Sea ice
op_source XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
op_relation info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-4302
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021737
op_doi https://doi.org/10.57757/IUGG23-4302
_version_ 1772813391739486208