Wave height possibility distribution characteristics of significant wave height in China Sea based on multi-satellite grid data

doi:10.1088/1755-1315/46/1/012033

	Wave height possibility distribution characteristics of significant wave height in China Sea based on multi-satellite grid data
	Han, W.; Yang, J.; IOP
	2016
会议日期	7 7, 2016 - 7 8, 2016
会议地点	Beijing, China
关键词	Significant wave height China Sea Satellite grid data Possibility distribution
卷号	46
期号	1
DOI	10.1088/1755-1315/46/1/012033
英文摘要	This paper discusses the group of wave height possibility distribution characteristics of significant wave height in China Sea based on multi-satellite grid data, the grid SWH data merges six satellites (TOPEX/Poseidon, Jason-1/2, ENVISAT, Cryosat-2, HY-2A) corrected satellite altimeter data into the global SWH grid data in 2000 similar to 2015 using Inverse Distance Weighting Method. Comparing the difference of wave height possibility distribution of two schemes that scheme two includes all of 6 satellite data and scheme one includes all of other 5 satellite data except HY-2A in two wave height interval, the first interval is [0,25) m, the second interval is [4,25) m, finding that two schemes have close wave height probability distribution and the probability change trend, there are difference only in interval [0.4, 1.8) m and the possibility in this interval occupies over 70%; then mainly discussing scheme two, finding that the interval of greatest wave height possibility is [0.6, 3) m, and the wave height possibility that the SWH is greater than 4m is less than 0.18%.
会议录	6TH DIGITAL EARTH SUMMIT
会议录出版者	IOP PUBLISHING LTD
会议录出版地	DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
语种	英语
URL标识	查看原文
ISSN号	17551307
WOS研究方向	Remote Sensing
WOS记录号	WOS:000390813200033
内容类型	会议论文
源URL	[http://ir.fio.com.cn/handle/2SI8HI0U/4988]
专题	自然资源部第一海洋研究所
作者单位	SOA, Inst Oceanog 1, Qingdao, Peoples R China
推荐引用方式 GB/T 7714	Han, W.,Yang, J.,IOP. Wave height possibility distribution characteristics of significant wave height in China Sea based on multi-satellite grid data[C]. 见:. Beijing, China. 7 7, 2016 - 7 8, 2016.