基于核函数NPSSB模型的HY-2A卫星雷达高度计海况偏差研究-海洋预报

基于核函数NPSSB模型的HY-2A卫星雷达高度计海况偏差研究

单位：1. 国家海洋环境预报中心, 北京 100081;
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

分类号：P731.1

出版年·卷·期（页码）：2020·37·第一期（1-10）

摘要：

利用机器学习的方法，对14个周期HY-2A卫星高度计数据：风速、有效波高和海面高度差值进行训练，探究海况偏差和风速、有效波高之间的关系，创建海况偏差核函数非参数模型（NPSSB），并与参数模型中具有代表性的BM3、BM4模型进行对比。研究表明：（1）核函数NPSSB模型能够很好的反映SSB与U、SWH之间的关系， SSB与U呈二次函数关系， SSB与SWH呈反比例函数关系；（2）核函数NPSSB模型对SSB的模拟能力与训练数据集相关，数据量越多，模拟能力越好；（3）核函数NPSSB模型与BM3、BM4模型都存在0～-0.03 m的差值，随着风速和有效波高的增加，差值的绝对值越大。

Based on machine learning method, this paper investigates the relationship between sea state bias and wind speed and significant wave height by training wind speed, significant wave height and sea surface height difference observed by 14 cycles of HY-2A satellite altimeter. Meanwhile, a nonparametric kernel function model for sea state bias (NPSSB)is established and is compared with typical parametric model BM3 and BM4. The results show that the relationship between SSB and wind speed and SWH is well represented by NPSSB model. SSB shows quadratic function and inverse proportion function relationship with U and SWH, respectively.(2) The ability of NPSSB model in simulating SSB is related to the amount of training dataset. The more the data is, the better the simulation ability will be. The difference between NPSSB model and the BM3 and BM4 models is both between -0.03 m and 0, the absolute value of which increases with the increase of wind speed and SWH.

参考文献：

[1] Chelton D B. The sea state bias in altimeter estimates of sea level from collinear analysis of TOPEX data[J]. Journal of Geophysical Research:Oceans, 1994, 99(C12):24995-25008.
[2] 苗洪利, 王鑫, 王桂忠, 等. Jason-2海况偏差校正直接估计方法研究[J]. 周口师范学院学报, 2015, 32(5):63-67.
[3] Chelton D B. Report of the high-resolution ocean topography science working group meeting[R]. College of Oceanic & Atmospheric Sciences, Oregon State University, 2001.
[4] Gaspar P, Ogor F, Le Traon P Y, et al. Estimating the sea state bias of the TOPEX and POSEIDON altimeters from crossover differences[J]. Journal of Geophysical Research:Oceans, 1994, 992(C12):24981-24994.
[5] (美)Martin S. 海洋遥感导论[M]. 蒋兴伟, 译. 北京:海洋出版社, 2008.
[6] Fu L L, Christensen E J, Yamarone C A Jr, et al. TOPEX/Poseidon mission overview[J]. Journal of Geophysical Research:Oceans, 1994, 99(C12):24369-24381.
[7] Christensen E J, Haines B J, Keihm S J, et al. Calibration of TOPEX/POSEIDON at Platform Harvest[J]. Journal of Geophysical Research:Oceans, 1994, 99(C12):24465-24485.
[8] Fu L L, Glazman R. The effect of the degree of wave development on the sea state bias in radar altimetry measurement[J]. Journal of Geophysical Research:Oceans, 1991, 96(C1):829-834.
[9] 史剑, 赵栋梁, 梅婵娟. 海面拖曳系数对风海雷诺数的依赖性[C]//中国海洋湖沼学会第九次全国会员代表大会暨学术研讨会论文摘要汇编. 上海:中国海洋湖沼学会, 2007.
[10] Hevizi L G, Walsh E J, Mcintosh R E, et al. Electromagnetic bias in sea surface range measurements at frequencies of the TOPEX/Poseidon satellite[J]. IEEE Transactions on Geoscience and Remote Sensing, 1993, 31(2):376-388.
[11] 刘亚龙. HY-2雷达高度计海面高度定标技术研究[D]. 青岛:中国海洋大学, 2014.
[12] Glazman R E, Pilorz S H. Effects of sea maturity on satellite altimeter measurements[J]. Journal of Geophysical Research:Oceans, 1990, 95(C3):2857-2870.
[13] Melville W K, Stewart R H, Keller W C, et al. Measurements of electromagnetic bias in radar altimetry[J]. Journal of Geophysical Research:Oceans, 1991, 96(C3):4915-4924.
[14] Ray R D, Koblinsky C J. On the sea-state bias of the Geosat altimeter[J]. Journal of Atmospheric and Oceanic Technology, 1991, 8(3):397-408.
[15] Glazman R E, Pihos G G, Ip J. Scatterometer wind speed bias induced by the large-scale component of the wave field[J]. Journal of Geophysical Research:Oceans, 1988, 93(C2):1317-1328.
[16] Cheney R E, Douglas B C, Miller L. Evaluation of Geosat altimeter data with application to tropical Pacific sea level variability[J]. Journal of Geophysical Research:Oceans, 1989, 94(C4):4737-4747.
[17] Zlotnicki V, Fu L L, Patzert W. Seasonal variability in global sea level observed with Geosat altimetry[J]. Journal of Geophysical Research:Oceans, 1989, 94(C12):17959-17969.
[18] Witter D L, Chelton D B. A Geosat altimeter wind speed algorithm and a method for altimeter wind speed algorithm development[J]. Journal of Geophysical Research:Oceans,1991, 96(C5):8853-8860.
[19] Labroue S, Boy F, Picot N, et al. First quality assessment of the Cryosat-2 altimetric system over ocean[J]. Advances in Space Research, 2012, 50(8):1030-1045.
[20] Rodríguez E, Martin J M. Assessment of the TOPEX altimeter performance using waveform retracking[J]. Journal of Geophysical Research:Oceans, 1994, 99(C12):24957-24969.
[21] NASA. AVISO and PODAAC user handbook-IGDR and GDR Jason products[M]. Washington D C:Physical Oceanography DAAC, 2008:1-4.
[22] 张洁, 邹斌, 冯倩. 一种基于HY-2卫星数据的多载荷联合海流反演算法研究[J]. 海洋预报, 2016, 33(4):53-57.
[23] 杨光, 宋清涛, 蒋兴伟, 等. HY-2A卫星海面高度数据质量评估[J]. 海洋学报, 2016, 38(11):90-96.
[24] Labroue S, Gaspar P, Dorandeu J, et al. Nonparametric estimates of the sea state bias for the jason-1 radar altimeter[J]. Marine Geodesy, 2010, 27(3-4):453-481.
[25] Picot N, Case K, Desai S, et al. AVISO and PODAAC user handbook, IGDR and GDR Jason Products. SMM-MU-M5-OP-13184-CN (AVISO). JPL D-21352(PODAAC), 2006.
[26] 张浩然, 汪晓东, 张长江, 等. 一种新型回归支持向量机的学习算法[J]. 测试技术学报, 2006, 20(2):168-173.

服务与反馈：

【文章下载】【发表评论】【查看评论】【加入收藏】