气候变化领域集成服务门户(CCPortal): Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies

CCPortal

DOI	10.5194/tc-9-1721-2015
	Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies
	Kaminski T.; Kauker F.; Eicken H.; Karcher M.
发表日期	2015
ISSN	19940416
卷号	9 期号:4
英文摘要	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. © Author(s) 2015.
学科领域	airborne survey; atmospheric modeling; calibration; data assimilation; exploration; forecasting method; ice thickness; maritime transportation; network design; quantitative analysis; sampling; sea ice; software; transect; uncertainty analysis; Alaska; Arctic Ocean; Chukchi Sea; United States
语种	英语
scopus关键词	airborne survey; atmospheric modeling; calibration; data assimilation; exploration; forecasting method; ice thickness; maritime transportation; network design; quantitative analysis; sampling; sea ice; software; transect; uncertainty analysis; Alaska; Arctic Ocean; Chukchi Sea; United States
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/119826
作者单位	Inversion Lab., Martinistr. 21, Hamburg, 20251, Germany; OASys, Lerchenstraße 28a, Hamburg, 22767, Germany; Geophysical Institute and International Arctic Research Center, University of Alaska Fairbanks, P.O. Box 757320, Fairbanks, AK 99775-7320, United States
推荐引用方式 GB/T 7714	Kaminski T.,Kauker F.,Eicken H.,et al. Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies[J],2015,9(4).
APA	Kaminski T.,Kauker F.,Eicken H.,&Karcher M..(2015).Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies.Cryosphere,9(4).
MLA	Kaminski T.,et al."Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies".Cryosphere 9.4(2015).