Impact of Snow Initialization in Subseasonal‐to‐Seasonal Winter Forecasts With the Norwegian Climate Prediction Model

Snow initialization has been previously investigated as a potential source of predictability atthe subseasonal‐to‐seasonal (S2S) timescale in winter and spring, through its local radiative,thermodynamical, and hydrological feedbacks. However, previous studies were conducted with low‐topmodels over s...

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Published in:Journal of Geophysical Research: Atmospheres
Main Authors: Li, Fei, Orsolini, Yvan, Keenlyside, Noel, Shen, Mao-Lin, Counillon, Francois, Wang, Yiguo
Format: Article in Journal/Newspaper
Language:English
Published: 2019
Subjects:
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Online Access:http://hdl.handle.net/11250/2631476
https://doi.org/10.1029/2019JD030903
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spelling ftnilu:oai:nilu.brage.unit.no:11250/2631476 2023-07-30T04:01:32+02:00 Impact of Snow Initialization in Subseasonal‐to‐Seasonal Winter Forecasts With the Norwegian Climate Prediction Model Li, Fei Orsolini, Yvan Keenlyside, Noel Shen, Mao-Lin Counillon, Francois Wang, Yiguo 2019 application/pdf http://hdl.handle.net/11250/2631476 https://doi.org/10.1029/2019JD030903 eng eng Norges forskningsråd: 244166 Norges forskningsråd: 229774 Journal of Geophysical Research (JGR): Atmospheres. 2019, 124 10033-10048. urn:issn:2169-897X http://hdl.handle.net/11250/2631476 https://doi.org/10.1029/2019JD030903 cristin:1726551 Navngivelse-Ikkekommersiell 4.0 Internasjonal http://creativecommons.org/licenses/by-nc/4.0/deed.no ©2019. The Authors. 10033-10048 124 Journal of Geophysical Research (JGR): Atmospheres Journal article Peer reviewed 2019 ftnilu https://doi.org/10.1029/2019JD030903 2023-07-08T19:53:58Z Snow initialization has been previously investigated as a potential source of predictability atthe subseasonal‐to‐seasonal (S2S) timescale in winter and spring, through its local radiative,thermodynamical, and hydrological feedbacks. However, previous studies were conducted with low‐topmodels over short periods only. Furthermore, the potential role of the land surface‐stratosphere connectionupon the S2S predictability had remained unclear. To this end, we have carried out twin 30‐memberensembles of 2‐month (November and December) retrospective forecasts over the period 1985–2016, witheither realistic or degraded snow initialization. A high‐top version of the Norwegian Climate PredictionModel is used, based on the Whole Atmosphere Community Climate Model, to insure improved couplingwith the stratosphere. In a composite difference of high versus low initial Eurasian snow, the surfacetemperature is strongly impacted by the presence of snow, and wave activityfluxes into the stratosphere areenhanced at a 1‐month lag, leading to a weakened polar vortex. Focusing further on 7 years characterized bya strongly negative phase of the Arctic Oscillation, wefind a weak snow feedback contributing to themaintenance of the negative Arctic Oscillation. By comparing the twin forecasts, we extracted the predictiveskill increment due to realistic snow initialization. The prediction of snow itself is greatly improved, andthere is increased skill in surface temperature over snow‐covered land in thefirst 10 days, and localized skillincrements in the mid‐latitude transition regions on the southernflanks of the snow‐covered land areas, atlead times longer than 30 days. publishedVersion Article in Journal/Newspaper Arctic NILU – Norwegian Institute for Air Research: NILU Brage Arctic Bya ENVELOPE(12.536,12.536,64.578,64.578) Journal of Geophysical Research: Atmospheres 124 17-18 10033 10048
institution Open Polar
collection NILU – Norwegian Institute for Air Research: NILU Brage
op_collection_id ftnilu
language English
description Snow initialization has been previously investigated as a potential source of predictability atthe subseasonal‐to‐seasonal (S2S) timescale in winter and spring, through its local radiative,thermodynamical, and hydrological feedbacks. However, previous studies were conducted with low‐topmodels over short periods only. Furthermore, the potential role of the land surface‐stratosphere connectionupon the S2S predictability had remained unclear. To this end, we have carried out twin 30‐memberensembles of 2‐month (November and December) retrospective forecasts over the period 1985–2016, witheither realistic or degraded snow initialization. A high‐top version of the Norwegian Climate PredictionModel is used, based on the Whole Atmosphere Community Climate Model, to insure improved couplingwith the stratosphere. In a composite difference of high versus low initial Eurasian snow, the surfacetemperature is strongly impacted by the presence of snow, and wave activityfluxes into the stratosphere areenhanced at a 1‐month lag, leading to a weakened polar vortex. Focusing further on 7 years characterized bya strongly negative phase of the Arctic Oscillation, wefind a weak snow feedback contributing to themaintenance of the negative Arctic Oscillation. By comparing the twin forecasts, we extracted the predictiveskill increment due to realistic snow initialization. The prediction of snow itself is greatly improved, andthere is increased skill in surface temperature over snow‐covered land in thefirst 10 days, and localized skillincrements in the mid‐latitude transition regions on the southernflanks of the snow‐covered land areas, atlead times longer than 30 days. publishedVersion
format Article in Journal/Newspaper
author Li, Fei
Orsolini, Yvan
Keenlyside, Noel
Shen, Mao-Lin
Counillon, Francois
Wang, Yiguo
spellingShingle Li, Fei
Orsolini, Yvan
Keenlyside, Noel
Shen, Mao-Lin
Counillon, Francois
Wang, Yiguo
Impact of Snow Initialization in Subseasonal‐to‐Seasonal Winter Forecasts With the Norwegian Climate Prediction Model
author_facet Li, Fei
Orsolini, Yvan
Keenlyside, Noel
Shen, Mao-Lin
Counillon, Francois
Wang, Yiguo
author_sort Li, Fei
title Impact of Snow Initialization in Subseasonal‐to‐Seasonal Winter Forecasts With the Norwegian Climate Prediction Model
title_short Impact of Snow Initialization in Subseasonal‐to‐Seasonal Winter Forecasts With the Norwegian Climate Prediction Model
title_full Impact of Snow Initialization in Subseasonal‐to‐Seasonal Winter Forecasts With the Norwegian Climate Prediction Model
title_fullStr Impact of Snow Initialization in Subseasonal‐to‐Seasonal Winter Forecasts With the Norwegian Climate Prediction Model
title_full_unstemmed Impact of Snow Initialization in Subseasonal‐to‐Seasonal Winter Forecasts With the Norwegian Climate Prediction Model
title_sort impact of snow initialization in subseasonal‐to‐seasonal winter forecasts with the norwegian climate prediction model
publishDate 2019
url http://hdl.handle.net/11250/2631476
https://doi.org/10.1029/2019JD030903
long_lat ENVELOPE(12.536,12.536,64.578,64.578)
geographic Arctic
Bya
geographic_facet Arctic
Bya
genre Arctic
genre_facet Arctic
op_source 10033-10048
124
Journal of Geophysical Research (JGR): Atmospheres
op_relation Norges forskningsråd: 244166
Norges forskningsråd: 229774
Journal of Geophysical Research (JGR): Atmospheres. 2019, 124 10033-10048.
urn:issn:2169-897X
http://hdl.handle.net/11250/2631476
https://doi.org/10.1029/2019JD030903
cristin:1726551
op_rights Navngivelse-Ikkekommersiell 4.0 Internasjonal
http://creativecommons.org/licenses/by-nc/4.0/deed.no
©2019. The Authors.
op_doi https://doi.org/10.1029/2019JD030903
container_title Journal of Geophysical Research: Atmospheres
container_volume 124
container_issue 17-18
container_start_page 10033
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