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: AGU 2019
Subjects:
Bya
Online Access:https://hdl.handle.net/1956/23307
https://doi.org/10.1029/2019jd030903
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spelling ftunivbergen:oai:bora.uib.no:1956/23307 2023-05-15T14:59:11+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 2019-11-08T14:55:00Z application/pdf https://hdl.handle.net/1956/23307 https://doi.org/10.1029/2019jd030903 eng eng AGU Norges forskningsråd: 244166 Norges forskningsråd: 229774 urn:issn:2169-897X urn:issn:2169-8996 https://hdl.handle.net/1956/23307 https://doi.org/10.1029/2019jd030903 cristin:1726551 Attribution-NonCommercial CC BY-NC http://creativecommons.org/licenses/by-nc/4.0/ Copyright 2019 The Author(s) Journal of Geophysical Research (JGR): Atmospheres Peer reviewed Journal article 2019 ftunivbergen https://doi.org/10.1029/2019jd030903 2023-03-14T17:43:13Z 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 University of Bergen: Bergen Open Research Archive (BORA-UiB) 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 University of Bergen: Bergen Open Research Archive (BORA-UiB)
op_collection_id ftunivbergen
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
publisher AGU
publishDate 2019
url https://hdl.handle.net/1956/23307
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 Journal of Geophysical Research (JGR): Atmospheres
op_relation Norges forskningsråd: 244166
Norges forskningsråd: 229774
urn:issn:2169-897X
urn:issn:2169-8996
https://hdl.handle.net/1956/23307
https://doi.org/10.1029/2019jd030903
cristin:1726551
op_rights Attribution-NonCommercial CC BY-NC
http://creativecommons.org/licenses/by-nc/4.0/
Copyright 2019 The Author(s)
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
op_container_end_page 10048
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