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逆大气压校正结果对海况偏差的影响
引用本文:任浩然,苗洪利,周晓光,王桂忠,王云海,张杰.逆大气压校正结果对海况偏差的影响[J].遥感技术与应用,2013,28(2):200-204.
作者姓名:任浩然  苗洪利  周晓光  王桂忠  王云海  张杰
作者单位:(1.中国海洋大学信息科学与工程学院,山东 青岛 266100;; 2.国家海洋局第一海洋研究所,山东 青岛 266061)
基金项目:国家自然科学基金项目“雷达高度计海况偏差校正综合模型研究”(41176157);海洋公益性科研专项经费项目(201105032-1)。
摘    要:基于最小二乘法原理,利用Jason-1高度计交叉点数据分析两种逆大气压校正结果对SSB的影响。结果表明,传统IB模型校正SSH后得到的SSB模型和MOG2D模型校正SSH后得到的SSB模型在SWH,U的大部分区域内符合较好,MOG2D校正结果对于SSB的影响主要集中在SWH大于6 m和U大于10 m/s的强海况海域,最大差异值可达2.6 cm。通过计算上述强海况海域交叉点不符值的RMS,MOG2D校正结果得到的RMS相比传统IB校正结果减小1.4 mm。并且采用MOG2D校正结果的SSB可解释方差值增大3.14 cm2,说明MOG2D校正结果对于建立SSB参数模型更有效,特别在强海况海域其影响不可忽略。

关 键 词:海况偏差  传统IB模型  MOG2D模型  交叉点数据集  最小二乘法原理  

Effects of Inverted Barometer Correction Results on Sea State Bias
Ren Haoran,Miao Hongli,Zhou Xiaoguang,Wang Guizhong,Wang Yunhai,Zhang Jie.Effects of Inverted Barometer Correction Results on Sea State Bias[J].Remote Sensing Technology and Application,2013,28(2):200-204.
Authors:Ren Haoran  Miao Hongli  Zhou Xiaoguang  Wang Guizhong  Wang Yunhai  Zhang Jie
Affiliation:(1.College of Information Science and Engineering,Ocean University of China,Qingdao 266100,China;; 2.First Institute of Oceanography of State Oceanic Administration,Qingdao 266061,China)
Abstract:This paper used crossover data of Jason-1 altimeter after applying the least square method to analyze the effects of two inverted barometer model correction results on sea state bias (SSB).The results demonstrated that the SSB deriving from the conventional inverted barometer model and MOG2D inverted barometer model had better consistency in most domain of significant wave height (SWH) and wind speed (U),but there existed distinct differences in such strong sea state as SWH>6 m,U>10 m/s,and the maximum was 2.6 cm.The RMS of crossover differences in the certain strong sea state domain was calculated,and the value of MOG2D correction result was smaller of 1.4 mm than the convention IB correction result.Besides,the explained variance of SSB derived from MOG2D Model was larger of 3.14 cm2 than the convention IB Model.Therefore,MOG2D correction result is more effective than the conventional IB model to establish SSB parametric model and its effects in the strong sea state cannot be neglected.
Keywords:Sea State Bias  Conventional IB model  MOG2D model  Crossover data  The least square method  
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