On the importance of representing snow over sea-ice for simulating the Arctic boundary layer
Correctly representing the snow on sea-ice has great potential to improve cryosphere-atmosphere coupling in forecasting and monitoring (e.g., reanalysis) applications, via improved modeling of surface temperature, albedo and emissivity. This can also enhance the all-weather all-surface coupled data...
Published in: | Journal of Advances in Modeling Earth Systems |
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Language: | English |
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2022
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Online Access: | https://doi.org/10.1029/2021MS002777 |
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ftncar:oai:drupal-site.org:articles_25575 2024-04-14T08:00:28+00:00 On the importance of representing snow over sea-ice for simulating the Arctic boundary layer Arduini, Gabriele (author) Keeley, Sarah (author) Day, Jonathan J. (author) Sandu, Irina (author) Zampieri, Lorenzo (author) Balsamo, Gianpaolo (author) 2022-07-15 https://doi.org/10.1029/2021MS002777 en eng Journal of Advances in Modeling Earth Systems--J Adv Model Earth Syst--1942-2466--1942-2466 On the importance of representing snow over sea-ice for simulating the Arctic boundary layer--10.5281/zenodo.6576248 articles:25575 doi:10.1029/2021MS002777 ark:/85065/d7qc079c Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. article Text 2022 ftncar https://doi.org/10.1029/2021MS002777 2024-03-21T18:00:26Z Correctly representing the snow on sea-ice has great potential to improve cryosphere-atmosphere coupling in forecasting and monitoring (e.g., reanalysis) applications, via improved modeling of surface temperature, albedo and emissivity. This can also enhance the all-weather all-surface coupled data assimilation for atmospheric satellite radiances. Using wintertime observations from two Arctic field campaigns, SHEBA and N-ICE2015, and satellite data, we explore the merits of different approaches to represent the snow over sea-ice in a set of 5-day coupled forecasts. Results show that representing the snow insulation effects is essential for capturing the wintertime surface temperature variability over sea-ice and its response to changes in the atmospheric forcing. Modeling the snow over sea-ice improves the representation of strong cooling events, reduces surface temperature biases in clear-sky conditions and improves the simulation of surface-based temperature inversions. In clear-sky conditions, when using a multi-layer snow scheme the root-mean-squared error in the surface temperature is reduced by about 60% for both N-ICE2015 and SHEBA. This study also highlights the role of compensating errors in different components of the surface energy budget in the Arctic boundary layer. During warm air intrusions, errors in the surface temperature increase when cloud phase and cloud radiative processes are misrepresented in the model, inducing large errors in the net radiative energy at the surface. This work indicates that numerical weather prediction systems can fully benefit from a better representation of snow over sea-ice, for example, with multi-layer snow schemes, combined with improvements to other boundary layer processes including mixed phase clouds. Article in Journal/Newspaper albedo Arctic Arctic Sea ice OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Arctic Journal of Advances in Modeling Earth Systems 14 7 |
institution |
Open Polar |
collection |
OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) |
op_collection_id |
ftncar |
language |
English |
description |
Correctly representing the snow on sea-ice has great potential to improve cryosphere-atmosphere coupling in forecasting and monitoring (e.g., reanalysis) applications, via improved modeling of surface temperature, albedo and emissivity. This can also enhance the all-weather all-surface coupled data assimilation for atmospheric satellite radiances. Using wintertime observations from two Arctic field campaigns, SHEBA and N-ICE2015, and satellite data, we explore the merits of different approaches to represent the snow over sea-ice in a set of 5-day coupled forecasts. Results show that representing the snow insulation effects is essential for capturing the wintertime surface temperature variability over sea-ice and its response to changes in the atmospheric forcing. Modeling the snow over sea-ice improves the representation of strong cooling events, reduces surface temperature biases in clear-sky conditions and improves the simulation of surface-based temperature inversions. In clear-sky conditions, when using a multi-layer snow scheme the root-mean-squared error in the surface temperature is reduced by about 60% for both N-ICE2015 and SHEBA. This study also highlights the role of compensating errors in different components of the surface energy budget in the Arctic boundary layer. During warm air intrusions, errors in the surface temperature increase when cloud phase and cloud radiative processes are misrepresented in the model, inducing large errors in the net radiative energy at the surface. This work indicates that numerical weather prediction systems can fully benefit from a better representation of snow over sea-ice, for example, with multi-layer snow schemes, combined with improvements to other boundary layer processes including mixed phase clouds. |
author2 |
Arduini, Gabriele (author) Keeley, Sarah (author) Day, Jonathan J. (author) Sandu, Irina (author) Zampieri, Lorenzo (author) Balsamo, Gianpaolo (author) |
format |
Article in Journal/Newspaper |
title |
On the importance of representing snow over sea-ice for simulating the Arctic boundary layer |
spellingShingle |
On the importance of representing snow over sea-ice for simulating the Arctic boundary layer |
title_short |
On the importance of representing snow over sea-ice for simulating the Arctic boundary layer |
title_full |
On the importance of representing snow over sea-ice for simulating the Arctic boundary layer |
title_fullStr |
On the importance of representing snow over sea-ice for simulating the Arctic boundary layer |
title_full_unstemmed |
On the importance of representing snow over sea-ice for simulating the Arctic boundary layer |
title_sort |
on the importance of representing snow over sea-ice for simulating the arctic boundary layer |
publishDate |
2022 |
url |
https://doi.org/10.1029/2021MS002777 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic Arctic Sea ice |
genre_facet |
albedo Arctic Arctic Sea ice |
op_relation |
Journal of Advances in Modeling Earth Systems--J Adv Model Earth Syst--1942-2466--1942-2466 On the importance of representing snow over sea-ice for simulating the Arctic boundary layer--10.5281/zenodo.6576248 articles:25575 doi:10.1029/2021MS002777 ark:/85065/d7qc079c |
op_rights |
Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
op_doi |
https://doi.org/10.1029/2021MS002777 |
container_title |
Journal of Advances in Modeling Earth Systems |
container_volume |
14 |
container_issue |
7 |
_version_ |
1796300736060981248 |