Simulation of snowbands in the Baltic Sea area with the coupled atmosphere-ocean-ice model COSMO-CLM/NEMO

Wind-parallel bands of snowfall over the Baltic Sea area are common during late autumn and early winter. This phenomenon occurs when cold air flows over the warm water surface, enhancing convection and leading to heavy snow fall. Six snowband events from 1985 to 2010 are simulated by using the coupl...

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Published in:Meteorologische Zeitschrift
Main Authors: Pham, Trang Van, Brauch, Jennifer, Früh, Barbara, Ahrens, Bodo
Language:English
Published: 2016
Subjects:
Online Access:https://repository.publisso.de/resource/frl:6408850
https://doi.org/10.1127/metz/2016/0775
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spelling ftleibnizopen:oai:oai.leibnizopen.de:oCaKVYsBBwLIz6xGZFnz 2023-11-12T04:26:03+01:00 Simulation of snowbands in the Baltic Sea area with the coupled atmosphere-ocean-ice model COSMO-CLM/NEMO Pham, Trang Van Brauch, Jennifer Früh, Barbara Ahrens, Bodo 2016 https://repository.publisso.de/resource/frl:6408850 https://doi.org/10.1127/metz/2016/0775 eng eng https://creativecommons.org/licenses/by-nc-sa/3.0/ Meteorologische Zeitschrift, 26(1):71-82 coupled model OASIS3 convective snowbands lake effect NEMO Baltic Sea COSMO-CLM 2016 ftleibnizopen https://doi.org/10.1127/metz/2016/0775 2023-10-22T23:10:29Z Wind-parallel bands of snowfall over the Baltic Sea area are common during late autumn and early winter. This phenomenon occurs when cold air flows over the warm water surface, enhancing convection and leading to heavy snow fall. Six snowband events from 1985 to 2010 are simulated by using the coupled atmosphere-ocean-ice model COSMO-CLM/NEMO. The model resolution is reasonably high to capture the snowbands; the atmospheric model COSMO-CLM has a horizontal grid-spacing of approximately 25 km and the ocean sea-ice model NEMO has a horizontal grid-spacing of approximately 3 km. The model results show that the coupled system COSMO-CLM/NEMO successfully reproduced the snowband events with a high contrast of temperatures between the surface and the atmosphere, sharp bands of precipitation over the sea, as well as the enormous heat fluxes released by the ocean to the atmosphere during the days when snowbands occurred. In the two cases when radar data are available, the model precipitation is shown to be in satisfactory agreement. The precipitation patterns closely follow the cloud shapes on satellite images. When not coupled with the ocean model, the atmospheric stand-alone model provided acceptable results if forced by high-quality sea surface temperatures (SSTs) from reanalysis data. However, COSMO-CLM forced with lower quality SSTs could not recreate the snowbands. The results indicate the need of an atmospheric model with high SST skill or a coupled ocean model when extreme event climatology is the primary aim in the Baltic Sea area. Other/Unknown Material Sea ice Unknown Meteorologische Zeitschrift 26 1 71 82
institution Open Polar
collection Unknown
op_collection_id ftleibnizopen
language English
topic coupled model
OASIS3
convective snowbands
lake effect
NEMO
Baltic Sea
COSMO-CLM
spellingShingle coupled model
OASIS3
convective snowbands
lake effect
NEMO
Baltic Sea
COSMO-CLM
Pham, Trang Van
Brauch, Jennifer
Früh, Barbara
Ahrens, Bodo
Simulation of snowbands in the Baltic Sea area with the coupled atmosphere-ocean-ice model COSMO-CLM/NEMO
topic_facet coupled model
OASIS3
convective snowbands
lake effect
NEMO
Baltic Sea
COSMO-CLM
description Wind-parallel bands of snowfall over the Baltic Sea area are common during late autumn and early winter. This phenomenon occurs when cold air flows over the warm water surface, enhancing convection and leading to heavy snow fall. Six snowband events from 1985 to 2010 are simulated by using the coupled atmosphere-ocean-ice model COSMO-CLM/NEMO. The model resolution is reasonably high to capture the snowbands; the atmospheric model COSMO-CLM has a horizontal grid-spacing of approximately 25 km and the ocean sea-ice model NEMO has a horizontal grid-spacing of approximately 3 km. The model results show that the coupled system COSMO-CLM/NEMO successfully reproduced the snowband events with a high contrast of temperatures between the surface and the atmosphere, sharp bands of precipitation over the sea, as well as the enormous heat fluxes released by the ocean to the atmosphere during the days when snowbands occurred. In the two cases when radar data are available, the model precipitation is shown to be in satisfactory agreement. The precipitation patterns closely follow the cloud shapes on satellite images. When not coupled with the ocean model, the atmospheric stand-alone model provided acceptable results if forced by high-quality sea surface temperatures (SSTs) from reanalysis data. However, COSMO-CLM forced with lower quality SSTs could not recreate the snowbands. The results indicate the need of an atmospheric model with high SST skill or a coupled ocean model when extreme event climatology is the primary aim in the Baltic Sea area.
author Pham, Trang Van
Brauch, Jennifer
Früh, Barbara
Ahrens, Bodo
author_facet Pham, Trang Van
Brauch, Jennifer
Früh, Barbara
Ahrens, Bodo
author_sort Pham, Trang Van
title Simulation of snowbands in the Baltic Sea area with the coupled atmosphere-ocean-ice model COSMO-CLM/NEMO
title_short Simulation of snowbands in the Baltic Sea area with the coupled atmosphere-ocean-ice model COSMO-CLM/NEMO
title_full Simulation of snowbands in the Baltic Sea area with the coupled atmosphere-ocean-ice model COSMO-CLM/NEMO
title_fullStr Simulation of snowbands in the Baltic Sea area with the coupled atmosphere-ocean-ice model COSMO-CLM/NEMO
title_full_unstemmed Simulation of snowbands in the Baltic Sea area with the coupled atmosphere-ocean-ice model COSMO-CLM/NEMO
title_sort simulation of snowbands in the baltic sea area with the coupled atmosphere-ocean-ice model cosmo-clm/nemo
publishDate 2016
url https://repository.publisso.de/resource/frl:6408850
https://doi.org/10.1127/metz/2016/0775
genre Sea ice
genre_facet Sea ice
op_source Meteorologische Zeitschrift, 26(1):71-82
op_rights https://creativecommons.org/licenses/by-nc-sa/3.0/
op_doi https://doi.org/10.1127/metz/2016/0775
container_title Meteorologische Zeitschrift
container_volume 26
container_issue 1
container_start_page 71
op_container_end_page 82
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