气候变化领域集成服务门户(CCPortal): IcePAC-a probabilistic tool to study sea ice spatiooral dynamics: Application to the Hudson Bay area

CCPortal

DOI	10.5194/tc-13-451-2019
	IcePAC-a probabilistic tool to study sea ice spatiooral dynamics: Application to the Hudson Bay area
	Gignac C.; Bernier M.; Chokmani K.
发表日期	2019
ISSN	19940416
EISSN	13
起始页码	451
结束页码	468
卷号	13 期号:2
英文摘要	A reliable knowledge and assessment of the sea ice conditions and their evolution in time is a priority for numerous decision makers in the domains of coastal and offshore management and engineering as well as in commercial navigation. As of today, countless research projects aimed at both modelling and mapping past, actual and future sea ice conditions were completed using sea ice numerical models, statistical models, educated guesses or remote sensing imagery. From this research, reliable information helping to understand sea ice evolution in space and in time is available to stakeholders. However, no research has, until present, assessed the evolution of sea ice cover with a frequency modelling approach, by identifying the underlying theoretical distribution describing the sea ice behaviour at a given point in space and time. This project suggests the development of a probabilistic tool, named IcePAC, based on frequency modelling of historical 1978-2015 passive microwave sea ice concentrations maps from the EUMETSAT OSI-409 product, to study the sea ice spatiooral behaviour in the waters of the Hudson Bay system in northeast Canada. Grid-cell-scale models are based on the generalized beta distribution and generated at a weekly temporal resolution. Results showed coherence with the Canadian Ice Service 1981-2010 Sea Ice Climatic Atlas average freeze-up and melt-out dates for numerous coastal communities in the study area and showed that it is possible to evaluate a range of plausible events, such as the shortest and longest probable ice-free season duration, for any given location in the simulation domain. Results obtained in this project pave the way towards various analyses on sea ice concentration spatiooral distribution patterns that would gain in terms of information content and value by relying on the kind of probabilistic information and simulation data available from the IcePAC tool. © 2019 Author(s).
学科领域	coastal zone management; detection method; ice cover; remote sensing; satellite imagery; sea ice; spatiotemporal analysis; Canada; Hudson Bay
语种	英语
scopus关键词	coastal zone management; detection method; ice cover; remote sensing; satellite imagery; sea ice; spatiotemporal analysis; Canada; Hudson Bay
来源期刊	The Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/118933
作者单位	TENOR Laboratory, INRS-Eau Terre Environnement, Quebec City, G1K 9A9, Canada; Centre for Northern Studies, Laval University, Quebec City, G1V 0A6, Canada
推荐引用方式 GB/T 7714	Gignac C.,Bernier M.,Chokmani K.. IcePAC-a probabilistic tool to study sea ice spatiooral dynamics: Application to the Hudson Bay area[J],2019,13(2).
APA	Gignac C.,Bernier M.,&Chokmani K..(2019).IcePAC-a probabilistic tool to study sea ice spatiooral dynamics: Application to the Hudson Bay area.The Cryosphere,13(2).
MLA	Gignac C.,et al."IcePAC-a probabilistic tool to study sea ice spatiooral dynamics: Application to the Hudson Bay area".The Cryosphere 13.2(2019).