Measurements and Modeling of Arctic Atmospheric Processes During the Norwegian Young Sea Ice Field Campaign
The Arctic is warming more quickly than other regions, resulting in modifications to the surface energy budget. The Norwegian Young Sea Ice (N-ICE) field campaign took place in January through June 2015, monitoring key components of the surface energy budget. This was the first field campaign to tak...
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Washington State University
2023
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ftwstuniresoay:oai:alma.01ALLIANCE_WSU:11397265870001842 2024-09-15T17:50:17+00:00 Measurements and Modeling of Arctic Atmospheric Processes During the Norwegian Young Sea Ice Field Campaign Murphy, Sarah Walden, Von Lamb, Brian Hudson, Stephen Liu, Heping Wang, Hailong 2023 pdf 182 https://doi.org/10.7273/000005016 https://rex.libraries.wsu.edu/esploro/outputs/doctoral/Measurements-and-Modeling-of-Arctic-Atmospheric/99901019534701842 https://rex.libraries.wsu.edu/view/delivery/01ALLIANCE_WSU/12397265860001842/13397265850001842 eng eng Washington State University doi:10.7273/000005016 99901019534701842 https://rex.libraries.wsu.edu/esploro/outputs/doctoral/Measurements-and-Modeling-of-Arctic-Atmospheric/99901019534701842 https://rex.libraries.wsu.edu/view/delivery/01ALLIANCE_WSU/12397265860001842/13397265850001842 alma:01ALLIANCE_WSU/bibs/99901019534701842 Open, Embargo CC BY V4.0 Arctic Clouds Environmental Engineering atmospheric climate radiation sea ice text Doctoral Thesis 2023 ftwstuniresoay https://doi.org/10.7273/000005016 2024-08-07T23:30:33Z The Arctic is warming more quickly than other regions, resulting in modifications to the surface energy budget. The Norwegian Young Sea Ice (N-ICE) field campaign took place in January through June 2015, monitoring key components of the surface energy budget. This was the first field campaign to take observations of the surface energy budget during the seasonal transition from winter to spring/summer since the Surface Heat Budget of the Arctic (SHEBA) field campaign in 1997 through 1998. These observations are valuable not only due to the amount of time that has passed since the SHEBA field experiment but also because N-ICE took place on younger, thinner sea ice, and in a different part of the Arctic. This study uses data from the N-ICE experiment to recommend improvements to the Polar Weather Research and Forecasting (WRF) model. The goals of this study are: 1) compare atmospheric measurements to models, 2) investigate model cloud microphysics and boundary layer parameterizations within WRF, 3) determine what cloud properties were observed during N-ICE, 4) investigate the effects of turbulent fluxes and clouds on young sea ice, and 5) make recommendations for improving the Polar WRF model. The Polar WRF model results show that there were issues in calculating both the turbulent and radiative fluxes over first-year sea ice. The cloud conditions during N-ICE varied, and mixed-phase clouds (a mixture of water and ice) were seen throughout the entire experiment. The model, however, did not accurately simulate the radiative impacts of these clouds. To determine if the calculations of sensible and latent heat flux can be accurately estimated given the correct cloud conditions, a study was conducted comparing turbulent fluxes from the Maximum Entropy Production method and the bulk flux algorithm (based on Monin-Obukhov theory and the technique used to estimate fluxes within WRF). Sensible heat flux was accurately estimated, but all equations overestimated the amount of latent heat flux. When compared to an idealized ... Doctoral or Postdoctoral Thesis Arctic Sea ice Washington State University: Research Exchange |
institution |
Open Polar |
collection |
Washington State University: Research Exchange |
op_collection_id |
ftwstuniresoay |
language |
English |
topic |
Arctic Clouds Environmental Engineering atmospheric climate radiation sea ice |
spellingShingle |
Arctic Clouds Environmental Engineering atmospheric climate radiation sea ice Murphy, Sarah Measurements and Modeling of Arctic Atmospheric Processes During the Norwegian Young Sea Ice Field Campaign |
topic_facet |
Arctic Clouds Environmental Engineering atmospheric climate radiation sea ice |
description |
The Arctic is warming more quickly than other regions, resulting in modifications to the surface energy budget. The Norwegian Young Sea Ice (N-ICE) field campaign took place in January through June 2015, monitoring key components of the surface energy budget. This was the first field campaign to take observations of the surface energy budget during the seasonal transition from winter to spring/summer since the Surface Heat Budget of the Arctic (SHEBA) field campaign in 1997 through 1998. These observations are valuable not only due to the amount of time that has passed since the SHEBA field experiment but also because N-ICE took place on younger, thinner sea ice, and in a different part of the Arctic. This study uses data from the N-ICE experiment to recommend improvements to the Polar Weather Research and Forecasting (WRF) model. The goals of this study are: 1) compare atmospheric measurements to models, 2) investigate model cloud microphysics and boundary layer parameterizations within WRF, 3) determine what cloud properties were observed during N-ICE, 4) investigate the effects of turbulent fluxes and clouds on young sea ice, and 5) make recommendations for improving the Polar WRF model. The Polar WRF model results show that there were issues in calculating both the turbulent and radiative fluxes over first-year sea ice. The cloud conditions during N-ICE varied, and mixed-phase clouds (a mixture of water and ice) were seen throughout the entire experiment. The model, however, did not accurately simulate the radiative impacts of these clouds. To determine if the calculations of sensible and latent heat flux can be accurately estimated given the correct cloud conditions, a study was conducted comparing turbulent fluxes from the Maximum Entropy Production method and the bulk flux algorithm (based on Monin-Obukhov theory and the technique used to estimate fluxes within WRF). Sensible heat flux was accurately estimated, but all equations overestimated the amount of latent heat flux. When compared to an idealized ... |
author2 |
Walden, Von Lamb, Brian Hudson, Stephen Liu, Heping Wang, Hailong |
format |
Doctoral or Postdoctoral Thesis |
author |
Murphy, Sarah |
author_facet |
Murphy, Sarah |
author_sort |
Murphy, Sarah |
title |
Measurements and Modeling of Arctic Atmospheric Processes During the Norwegian Young Sea Ice Field Campaign |
title_short |
Measurements and Modeling of Arctic Atmospheric Processes During the Norwegian Young Sea Ice Field Campaign |
title_full |
Measurements and Modeling of Arctic Atmospheric Processes During the Norwegian Young Sea Ice Field Campaign |
title_fullStr |
Measurements and Modeling of Arctic Atmospheric Processes During the Norwegian Young Sea Ice Field Campaign |
title_full_unstemmed |
Measurements and Modeling of Arctic Atmospheric Processes During the Norwegian Young Sea Ice Field Campaign |
title_sort |
measurements and modeling of arctic atmospheric processes during the norwegian young sea ice field campaign |
publisher |
Washington State University |
publishDate |
2023 |
url |
https://doi.org/10.7273/000005016 https://rex.libraries.wsu.edu/esploro/outputs/doctoral/Measurements-and-Modeling-of-Arctic-Atmospheric/99901019534701842 https://rex.libraries.wsu.edu/view/delivery/01ALLIANCE_WSU/12397265860001842/13397265850001842 |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
doi:10.7273/000005016 99901019534701842 https://rex.libraries.wsu.edu/esploro/outputs/doctoral/Measurements-and-Modeling-of-Arctic-Atmospheric/99901019534701842 https://rex.libraries.wsu.edu/view/delivery/01ALLIANCE_WSU/12397265860001842/13397265850001842 alma:01ALLIANCE_WSU/bibs/99901019534701842 |
op_rights |
Open, Embargo CC BY V4.0 |
op_doi |
https://doi.org/10.7273/000005016 |
_version_ |
1810292126199578624 |