Exploring the utility of quantitative network design in evaluating Arctic sea-ice thickness sampling strategies
Exploring the utility of quantitative network design in evaluating Arctic sea-ice thickness sampling strategies
复制标题
探索定量网络设计在评估北极海冰厚度采样策略中的效用
DOI：
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
M. Karcher
中科院分区：
文献类型：
--
作者：
T. Kaminski;F. Kauker;H. Eicken;M. Karcher
摘要。我们提出了一个定量网络设计（QND）研究北极海冰-海洋系统使用软件工具，可以评估在变分数据同化系统中的假设观测网络。为了证明这一点，我们评估了两个理想的飞行样带，这些样带来自美国宇航局的冰桥行动机载冰调查，它们有可能改善10天到5个月的海冰预测。作为预测的目标区域，我们选择了楚科奇海，这是一个与海上交通和近海资源勘探特别相关的区域，以及与巴内特冰严重指数（BSI）相关的两个区域，BSI是阿拉斯加海岸运输状况的标准衡量标准，由冰服务部门定期发布。我们的分析量化了在目标区域上游采样和减少采样不确定性的好处。我们展示了海冰和雪厚的观测如何约束目标区域的冰雪变量，并量化了结合两个飞行断面的互补性。我们进一步量化了改进的大气预报和校准良好的模式的好处。
Abstract. We present a quantitative network design (QND) study of the Arctic sea ice–ocean system using a software tool that can evaluate hypothetical observational networks in a variational data assimilation system. For a demonstration, we evaluate two idealised flight transects derived from NASA's Operation IceBridge airborne ice surveys in terms of their potential to improve 10-day to 5-month sea ice forecasts. As target regions for the forecasts we select the Chukchi Sea, an area particularly relevant for maritime traffic and offshore resource exploration, as well as two areas related to the Barnett ice severity index (BSI), a standard measure of shipping conditions along the Alaskan coast that is routinely issued by ice services. Our analysis quantifies the benefits of sampling upstream of the target area and of reducing the sampling uncertainty. We demonstrate how observations of sea ice and snow thickness can constrain ice and snow variables in a target region and quantify the complementarity of combining two flight transects. We further quantify the benefit of improved atmospheric forecasts and a well-calibrated model.
DOI：
10.1111/j.1600-0889.2010.00483.x
发表时间：
2010-01
期刊：
Tellus B: Chemical and Physical Meteorology
影响因子：
--
作者：
T. Kaminski;M. Scholze;S. Houweling
通讯作者：
T. Kaminski;M. Scholze;S. Houweling
影响因子：
6.3
作者：
T. Kaminski;P. Rayner;M. Vossbeck;M. Scholze;E. Koffi
通讯作者：
T. Kaminski;P. Rayner;M. Vossbeck;M. Scholze;E. Koffi