An ocean current inversion accuracy analysis based on a Doppler spectrum model
-
摘要: 微波遥感是海洋参数观测的一个重要手段。利用海面回波的多普勒信息或干涉相位信息进行洋流反演已经被应用于星载和机载雷达系统。然而,海面风浪和海洋表面流互相耦合,雷达回波的多普勒信息无法直接进行海洋表面流的反演。为了研究海洋表面流的测量精度,首先需要对海面多普谱模型的参数敏感度进行分析。本文建立了海面多普勒谱的数值仿真模型,并对模型结果进行了验证。对C波段不同风速和风向情况下的海面多普勒频移进行了仿真,并与经验的地球物理模型(CDOP)进行了比较,对合适的海浪谱函数和方向分布函数进行了筛选。分析了Ku波段的表面流速度估计误差对风速和风向误差的敏感度。结果表明,对于VV极化,当风速测量误差为2 m/s时,表面流速度估计误差可达0.15 m/s,当风向误差为20°时,侧风向的表面流速度估计误差可达0.3 m/s。Abstract: Microwave remote sensing is one of the most useful methods for observing the ocean parameters. The Doppler frequency or interferometric phase of the radar echoes can be used for an ocean surface current speed retrieval, which is widely used in spaceborne and airborne radars. While the effect of the ocean currents and waves is interactional. It is impossible to retrieve the ocean surface current speed from Doppler frequency shift directly. In order to study the relationship between the ocean surface current speed and the Doppler frequency shift, a numerical ocean surface Doppler spectrum model is established and validated with a reference. The input parameters of ocean Doppler spectrum include an ocean wave elevation model, a directional distribution function, and wind speed and direction. The suitable ocean wave elevation spectrum and the directional distribution function are selected by comparing the ocean Doppler spectrum in C band with an empirical geophysical model function (CDOP). What is more, the error sensitivities of ocean surface current speed to the wind speed and direction are analyzed. All these simulations are in Ku band. The simulation results show that the ocean surface current speed error is sensitive to the wind speed and direction errors. With VV polarization, the ocean surface current speed error is about 0.15 m/s when the wind speed error is 2 m/s, and the ocean surface current speed error is smaller than 0.3 m/s when the wind direction error is within 20° in the cross wind direction.
-
Apel J R. 1994. An improved model of the ocean surface wave vector spectrum and its effects on radar backscatter. Journal of Geophysical Research, 99(C8):16269-16291 Bao Qingliu, Dong Xiaolong, Zhu Di, et al. 2015. The feasibility of ocean surface current measurement using pencil-beam rotating scatterometer. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(7):3441-3451 Baynes P, Dumper K, Gommenginger C, et al. 2002. Ocean currents from space. BNSC SMS Programme, Document No:SOS-OC-REP-2/01 Bjerkaas A W, Riedel F W. 1979. Proposed model for the elevation spectrum of a wind-roughened sea surface. DTIC Document No:JHU/APL TG 1328 Elfouhaily T, Chapron B, Katsaros K, et al. 1997. A unified directional spectrum for long and short wind-driven waves. Journal of Geophysical Research, 102(C7):15781-15796 Fois F, Hoogeboom P, Chevalier F L, et al. 2015. An analytical model for the description of the full-polarimetric sea surface Doppler signature. Journal of Geophysical Research, 120(2):988-1015 Longuet-Higgins M S, Cartwright D E, Smith N D. 1963. Observations of the directional spectrum of sea waves using the motions of a floating buoy. In:Ocean Wave Spectrum. Englewood Cliffs, NJ:Prentice-Hall Inc, 111-136 Mitsuyasu H, Tasai F, Suhara T, et al. 1975. Observations of the directional spectrum of ocean waves using a cloverleaf buoy. Journal of Physical Oceanography, 5(4):750-760 Mouche A A, Chapron B, Reul N, et al. 2008. Predicted Doppler shifts induced by ocean surface wave displacements using asymptotic electromagnetic wave scattering theories. Waves in Random and Complex Media, 18(1):185-196 Mouche A A, Collard F, Chapron B, et al. 2012. On the use of Doppler shift for sea surface wind retrieval from SAR. IEEE Transactions on Geoscience and Remote Sensing, 50(7):2901-2909 Romeiser R, Johannessen J, Chapron B, et al. 2010. Direct surface current field imaging from space by along-track InSAR and conventional SAR. In:Barale V, Gower J F R, Alberotanza L, eds. Oceanography from Space. Berlin:Springer Netherlands, 73-91 Romeiser R, Thompson D R. 2000. Numerical study on the along-track interferometric radar imaging mechanism of oceanic surface currents. IEEE Transactions on Geoscience and Remote Sensing, 38(1):446-458 Thompson D R. 1989. Calculation of microwave Doppler spectra from the ocean surface with a time-dependent composite model. In:Komen G J, Oost W A, eds. Radar scattering from modulated wind waves. Berlin:Springer Netherlands, 27-40 Thompson D R, Gotwols B L, Keller W C. 1991. A comparison of Ku-band Doppler measurements at 20° incidence with predictions from a time-dependent scattering model. Journal of Geophysical Research, 96(C3):4947-4955
点击查看大图
计量
- 文章访问数: 1112
- HTML全文浏览量: 56
- PDF下载量: 1045
- 被引次数: 0