基于交叉点数据和三维非参数模型的雷达高度计海况偏差估计方法

蒋茂飞; 许可; 刘亚龙; 王磊

doi:10.11999/JEIT160195

基于交叉点数据和三维非参数模型的雷达高度计海况偏差估计方法

doi: 10.11999/JEIT160195

计量
- 文章访问数: 1242
- HTML全文浏览量: 116
- PDF下载量: 477
- 被引次数: 0
出版历程
- 收稿日期: 2016-03-03
- 修回日期: 2016-07-12
- 刊出日期: 2016-11-19

A New Method for Radar Altimeter Sea State Bias Estimation Based on Crossover Data and Three-dimensional Nonparametric Model

摘要

摘要: 海况偏差(Sea State Bias, SSB)是雷达高度计测量海面高度的重要误差源。目前，业务化运行的雷达高度计的海况偏差校正都是采用基于风速(U)和有效波高(SWH)的2维经验模型方法，其海况偏差校正不确定度约为2 cm。该文提出一种基于交叉点数据和3维非参数模型的海况偏差估计方法，该方法利用星下交叉点数据，采用基于U, SWH以及平均波周期(MWP)的3维非参数模型进行海况偏差估计。该文利用这种估计方法对Jason-2卫星雷达高度计2009~2011年3年的数据进行了处理，将处理结果与Jason-2卫星高度计的地球物理数据集(Geophysical Data Records, GDR)中的海况偏差校正项进行对比，结果表明该文提出的海况偏差估计方法平均能降低1.64 cm2的交叉点海面高度不符值的方差和0.92 cm2的沿轨海面高度异常值的方差，分别对应于1.28 cm和0.96 cm的均方根(RMS)海面高度，这对于提高高度计数据产品的精度具有重要意义。
- 雷达高度计 /
- 海况偏差 /
- 交叉点 /
- 3维非参量模型
Abstract: The Sea State Bias (SSB) is an important source of error in satellite altimetry. Operational SSB correction models are based on the altimeter-measured wind speed (U) and Significant Wave Height (SWH). This paper presents a new method to estimate the SSB from the crossover differences using a three-dimensional nonparametric model based on U, SWH, and the Mean Wave Period (MWP). Evaluated by the separate annual data sets from 2009 to 2011, the SSB values estimated with the presented method can decrease the variance of the crossover Sea Surface Height (SSH) differences by 1.64 cm2, or 1.28 cm RMS, and decrease the variance of the Sea Level Anomalies (SLA) by 0.92 cm2, or 0.96 cm RMS in comparison to the SSB values in the Geophysical Data Records (GDR) of Jason-2. It is of great significance for improving the precision of altimeter products.
- Radar altimeter /
- Sea state bias /
- Crossover /
- Three-dimensional nonparametric model

HTML全文

参考文献(25)

万珺之. 基于有源定标器的海洋二号高度计系统延迟在轨绝对定标研究[D]. [博士论文], 中国科学院国家空间科学中心, 2015.

WAN J Z. Study on HY-2 altimeter system delay in-orbit absolute calibration using reconstructive transponder [D]. [Ph.D. dissertation], National Space Science Center, Chinese Academy of Sciences, 2015.

王磊. 高精度卫星雷达高度计数据处理技术研究[D]. [博士论文], 中国科学院国家空间科学中心, 2015.

WANG L. Study on the data processing for high precision satellite radar altimeter[D]. [Ph.D. dissertation], National Space Science Center, Chinese Academy of Sciences, 2015.

王磊, 许可, 史灵卫, 等. 一种消除合成孔径雷达高度计延迟校正中残余误差的新算法及仿真验证[J]电子与信息学报, 2015, 37(11): 2713-2718. doi: 10.11999/JEIT150282.

WANG L, XU K, SHI L W, et al. A new range migration correction algorithm and its simulation for SAR altimeter[J]. Journal of Electronics Information Technology, 2015, 37(11): 2713-2718. doi: 10.11999/JEIT150282.

GHAVIDEL A, SCHIAVULLI D, and CAMPS A. Numerical computation of the electromagnetic bias in GNSS-R altimetry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(1): 489-498. doi: 10.1109/TGRS.2015. 2460212.

GASPAR P and FLORENS J P. Estimation of the sea state bias in radar altimeter measurements of sea level: Results from a new nonparametric method[J]. Journal of Geophysical Research-Oceans, 1998, 103(C08): 15803-15814. doi: 10. 1029/98JC01194.

DUMONT J P, ROSMORDUC V, PICOT N, et al. OSTM/ Jason-2 products book[R]. 2011.

GHAVIDEL A and CAMPS A. Time-domain statistics of the electromagnetic bias in GNSS-reflectometry[J]. Remote Sensing, 2015, 7(1): 11151-11162. doi: 10.3390/rs70911151.

MILLET F W, WARNICK K F, NAGEL J R, et al. Physical optics-based electromagnetic bias theory with surface height-slope cross-correlation and hydrodynamic modulation [J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(6): 1470-1483. doi: 10.1109/TGRS.2005.863852.

ELFOUHAILY T, THOMPSON D R, CHAPRON D, et al. Improved electromagnetic bias theory[J]. Journal of Geophysical Research-Oceans, 2000, 105(C1): 1299-1310. doi: 10.1029/1999JC900277.

ELFOUHAILY T, THOMPSON D R, CHAPRON D, et al. Improved electromagnetic bias theory: Inclusion of hydrodynamic modulations[J]. Journal of Geophysical Research-Oceans, 2001, 106(C3): 4655-4664. doi: 10.1029/ 1999JC000086.

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. doi: 10.1029/94JC02113.

GASPAR P, LABROUE S, OGOR F, et al. Improving nonparametric estimates of the sea state bias in radar altimeter measurements of sea level[J]. Journal of Atmospheric and Oceanic Technology, 2002, 19(10): 1690-1707. doi: 10.1175/1520-0426(2002)0191690:INEOTS 2.0.CO;2.

GASPAR P, OGOR F, LETRAON 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, 99(C12): 24981-24994. doi: 10.1029/ 94JC01430.

LABROUE S, GASPAR P, DORANDEU J, et al. Nonparametric estimates of the sea state bias for the Jason-1 radar altimeter[J]. Marine Geodesy, 2004, 27(3-4): 453-481. doi: 10.1080/01490410490902089.

TRAN N, VANDEMARK D, CHAPRON B, et al. New models for satellite altimeter sea state bias correction developed using global wave model data[J]. Journal of Geophysical Research-Oceans, 2006, 111(C9): 141-152. doi: 10.1029/2005JC003406.

TRAN N, VANDEMARK D, LABROUE S, et al. Sea state bias in altimeter sea level estimates determined by combining wave model and satellite data[J]. Journal of Geophysical Research-Oceans, 2010, 115(C03020): 1-7. doi: 10.1029/ 2009JC005534.

苗洪利, 王鑫, 王桂忠, 等. 改进的高度计海况偏差估计参数模型研究[J]. 中国海洋大学学报(自然科学版), 2015, 45(12): 119-124. doi: 10.16441/j.cnki.hdxb.20150125.

MIAO H L, WANG X, WANG G Z, et al. Study on the improved sea state bias parametric model[J]. Periodical of Ocean University of China (Science and Technology), 2015, 2015, 45(12): 119-124. doi: 10.16441/j.cnki.hdxb. 20150125.

文圣常, 余宙文. 海浪理论与计算原理[M]. 北京: 科学出版社, 1984: 95-115.

WEN S H and YU Z W. Wave Theory and Calculation Principles[M]. Beijing: Science Press, 1984: 95-115.

ABLAIN M, PHILIPPS S, PICOT N, et al. Jason-2 global statistical assessment and cross-calibration with Jason-1[J]. Marine Geodesy, 2010, 33(S1): 162-185. doi: 10.1080/ 01490419.2010.487805.

PRANDI P, PHILIPPS S, PIGNOT V, et al. SARAL/AltiKa global statistical assessment and cross-calibration with Jason-2[J]. Marine Geodesy, 2015, 84(5): 297-312. doi: 10.1080/01490419.2014.995840.

施引文献

资源附件(0)

访问统计