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Regional distribution and variability of model-simulated Arctic snow on sea ice
https://nipr.repo.nii.ac.jp/records/14359
https://nipr.repo.nii.ac.jp/records/14359c2794124-6051-40e8-8603-4023dd66a48f
Item type | 学術雑誌論文 / Journal Article(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2017-09-01 | |||||
タイトル | ||||||
タイトル | Regional distribution and variability of model-simulated Arctic snow on sea ice | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Regional distribution and variability of model-simulated Arctic snow on sea ice | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Arctic Ocean | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Snow | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Sea ice | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Modeling | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Snow radar measurements | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
Castro-Morales, Karel
× Castro-Morales, Karel× Ricker, Robert× Gerdes, Rüdiger |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Numerical models face the challenge of representing the present-day spatiotemporal distribution of snow on sea ice realistically. We present modeled Arctic-wide snow depths on sea ice (hs_mod) obtained with the MITgcm configured with a single snow layer that accumulates proportionally to the thickness of sea ice. When compared to snow depths derived from radar measurements (NASA Operation IceBridge, 2009–2013), the model snow depths are overestimated on first-year ice (2.5 ± 8.1 cm) and multiyear ice (0.8 ± 8.3 cm). The large variance between model and observations lies mainly in the limitations of the model snow scheme and the large uncertainties in the radar measurements. In a temporal analysis, during the peak of snowfall accumulation (April), hs_mod show a decline between 2000 and 2013 associated to long-term reduction of summer sea ice extent, surface melting and sublimation. With the aim of gaining knowledge on how to improve hs_mod, we investigate the contribution of the explicitly modeled snow processes to the resulting hs_mod. Our analysis reveals that this simple snow scheme offers a practical solution to general circulation models due to its ability to replicate robustly the distribution of the large-scale Arctic snow depths. However, benefit can be gained from the integration of explicit wind redistribution processes to potentially improve the model performance and to better understand the interaction between sources and sinks of contemporary Arctic snow. | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 現在の海氷上における積雪の時空間分布を現実的に表現するという課題に数値モデルの研究は直面している。我々は、海氷厚に比例して堆積する単一の積雪層で構成されたMITgcmを入れた北極域海氷上の広域積雪モデル(hs_mod)を提示した。レーダー観測(NASA Operation IceBridge、2009-2013)に基づく積雪深と比較すると、一年氷(2.5±8.1 cm)と多年氷(0.8±8.3 cm)ではモデル積雪深が過大評価される。モデルと観測の大きな違いは、主にモデル化した積雪スキームの限界と、レーダー観測の大きな不確実性にある。積算降雪量ピーク(4月)の間、hs_modは、長期的な夏の海氷、表面融解および昇華蒸発の減少に関連して、2000年から2013年の期間中、減少を示した。hs_modを改善する方法に関する知識を得る目的で、明示的にモデル化された積雪プロセスのhs_mod出力への寄与を調べた。我々の研究によって、広域な北極域の積雪深分布を確実に復元する能力があるため、この単純な積雪スキームが、全球気候モデルに実用的な解を算出できることが明らかとなった。しかしながら、明示的な風による再配分プロセスを導入することで、さらにモデル性能を潜在的に改善し、同時期の北極域積雪における発生源と消耗源との相互作用をよりよく理解することができる。 | |||||
書誌情報 |
en : Polar Science 巻 13, p. 33-49, 発行日 2017-09 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 18739652 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1016/j.polar.2017.05.003 | |||||
関連名称 | 10.1016/j.polar.2017.05.003 |