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作 者:唐焕丽 姚琴 吕晓莹 杨名名 王婧 TANG Huanli;YAO Qin;LV Xiaoying;YANG Mingming;WANG Jing(Guanzhou Zengcheng District Urban and Rural Planning and Surveying and Mapping Geographic Information Institute,Guangzhou 511300,China;Key Laboratory of Space Ocean Remote Sensing and Application,Beijing 100081,China;Guangdong Center for Marine Development Research,Guangzhou 510220,China;Guangdong PIESAT Technology Co.,Ltd,Guangzhou 511400,China)
机构地区:[1]广州市增城区城乡规划与测绘地理信息研究院,广州511300 [2]国家海洋局空间海洋遥感与应用研究重点实验室,北京100081 [3]广东省海洋发展规划研究中心,广州510220 [4]广东航天宏图技术有限公司,广州511400
出 处:《遥感信息》2020年第1期117-122,共6页Remote Sensing Information
基 金:国家海洋局空间海洋遥感与应用研究重点实验室开放基金(201602023)。
摘 要:针对大部分风场时空融合算法复杂、执行效率低、业务推广难的问题,基于HY-2A和MetOp-B海面风场数据提出一种快速可行的时间空间插值融合算法,并将融合产品用于广东附近海域海面风场特征的研究。算法通过时间匹配和空间插值,获取了空间分辨率为0.25°×0.25°、数据时间差控制在30分钟以内的融合风场。浮标观测数据验证结果表明,该方法有效地弥补2种卫星数据的覆盖盲区,融合风速和风向均具有较好的精度。在此基础上,本文利用融合风场成功捕捉1622号台风“海马”,掌握该台风当日对全广东附近海域海面风场的影响;分析2016年10月研究区域的上、下旬及整个月份的风场分布特征和变化规律,为海洋预报、区域海洋动力环境研究以及海洋防灾减灾策略的制定等提供数据支撑。Aiming at the problems of most wind field time-space fusion algorithms,such as complexity,low efficiency and difficulty in service generalization,a fast and feasible time-space interpolation fusion algorithm is proposed based on Hy-2A and MetOp-B sea surface wind data.The fusion products are applied to the study of the sea surface wind field characteristics in the sea area near Guangdong.A fusion wind field with a spatial resolution of 0.25°×0.25°and a data time difference of less than 30-minute is obtained by using the fusion strategy of time matching and spatial interpolation.The results show that this method can make up the blind area of the two kinds of satellite data effectively,and the fusion wind speed and direction have good precision.On this basis,this paper uses the fused wind field to capture typhoon 1622“Seahorse”successfully,to master the influence of typhoon on the sea surface wind field near Guangdong.This paper also analyzes the wind field distribution characteristics and variation patterns in the upper,second and entire months of the study area in October 2016.It can provide data support for the marine forecasting,research on regional marine dynamic environment and making strategies of marine disaster prevention and reduction.
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