Wave effects on the retrieved wind field from the advanced scatterometer (ASCAT)

REN Lin; YANG Jingsong; ZHENG Gang; WANG Juan; CHEN Peng

doi:10.1007/s13131-015-0600-4

海浪对ASCAT散射计反演风场的影响研究

doi: 10.1007/s13131-015-0600-4

State Key Laboratory of Satellite Ocean Environment dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China

基金项目: The National Natural Science Youth Foundation of China under contract Nos 41306191 and 41306192; the National High Technology development Program (863 Program) of China under contract No. 2013AA09A505; the Scientific Research Fund of the Second Institute of Oceanography, State Oceanic Administration of China under contract No. JG1317.

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出版历程
- 收稿日期: 2013-03-27
- 修回日期: 2014-10-08

Wave effects on the retrieved wind field from the advanced scatterometer (ASCAT)

State Key Laboratory of Satellite Ocean Environment dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China

摘要

摘要: 为改善反演效果, 本文研究海浪对散射计风场反演精度的影响. 首先, 收集同步的ASCAT散射计数据和NdBC浮标数据, 并将浮标风速统一转换成海面10 m高度风速. 其次, 比较ASCAT和浮标的风速和风向. 再次, 利用 ASCAT和浮标风速、风向的误差建立的与各种海浪参数的函数关系, 来分析海浪对风场反演的影响. 涉及的海浪参数包括主波波长(dpd)、有效波高(swh)、平均波长(apd)以及主波波向和风向的夹角(angle). 关于误差的计算, 先将各种海浪参数分为多个数值区间, 再对照各区间将同步数据划分为多个子数据集, 进而通过计算各子数据集的均方根误差(RMSE)或平均绝对误差(MAE), 建立起误差同各海浪参数的函数关系. 最后, 基于误差分析方法确定ASCAT风场反演的最佳海浪条件. 研究结果表明, 海浪参数与反演风速的RMSE以及反演风向的MAE均存在一定的相关关系. 同时, 最佳海浪条件以dpd, swh, apd和angle的形式提出.
- 高级散射计 /
- ASCAT /
- 风场 /
- 海浪影响 /
- 海浪参数
Abstract: To improve retrieval accuracy, this paper studies wave effects on retrieved wind field from a scatterometer. First, the advanced scatterometer (ASCAT) data and buoy data of the National data Buoy Center (NdBC) are collocated. Buoy wind speed is converted into neutral wind at 10 m height. Then, ASCAT data are compared with the buoy data for the wind speed and direction. Subsequently, the errors between the ASCAT and the buoy wind as a function of each wave parameter are used to analyze the wave effects. Wave parameters include dominant wave period (dpd), significant wave height (swh), average wave period (apd) and the angle between the dominant wave direction (dwd) and the wind direction. Collocated data are divided into sub-datasets according to the different intervals of each wave parameter. A root mean square error (RMSE) for the wind speed and a mean absolute error (MAE) for the wind direction are calculated from the sub-datasets, which are considered as the function of wave parameters. Finally, optimal wave conditions on wind retrieved from the ASCAT are determined based on the error analyses. The results show the ocean wave parameters have correlative relationships with the RMSE of the retrieved wind speed and the MAE of the retrieved wind direction. The optimal wave conditions are presented in terms of dpd, swh, apd and angle.
- advanced scatterometer /
- ASCAT /
- wind field /
- wave effects /
- wave parameters

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参考文献(20)

Essen H H. 1999. Biases in wind-retrieval by empirical ERS-1/2 scatterometer models due to the presence of long ocean wave. In: Stein Tammy I, ed. IGARSS'99 Proceedings, Vol. 3. Piscataway, USA: Institute of Electrical and Electronics Engineers, 1637-1639

Graber H C, Ebuchi N, Vakkayil R. 1996. Evaluation of ERS-1 scatterometer wind with ocean buoy observations. In: Brancart Claude P, Clark Andrew M, eds. Oceans'96 MTS/IEEE Proceedings, Vol. 3. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers, 1157-1165

Guo Jie, He Yijun. 2012. Wave steepness retrieved from scatterometer data in a genetic algorithm. Chinese Journal of Oceanology and Limnology, 30(2): 336-341

Guo Jie, He Yijun, Chu Xiaoqing, et al. 2009. Wave parameters retrieved from QuikSCAT data. Canadian Journal of Remote Sensing, 35(4): 345-351

Guo Jie, He Yijun, Perrie W, et al. 2009. Significant wave heights estimated from ERS-1/2 scatterometer data. Chinese Journal of Oceanology and Limnology, 27(1): 112-116

Hasselmann K, Hasselmann K. 1991. On the nonlinear mapping of an ocean wave spectrum into a synthetic aperture radar image spectrum and its retrieval. Journal of Geophysical Research, 96(C6): 10713-10729

Hersbach H. 2010. Comparison of C-band scatterometer CMOd5.N equivalent neutral wind with ECMWF. Journal of Atmospheric and Oceanic Technology, 27(4): 721-736

Hersbach H, Stoffelen A, Haan S d. 2007. An improved C-band scatterometer ocean geophysical model function: CMOd5. Journal of Geophysical Research, 112(C3): C03006, doi: 10.1029/2006JC003743

Kasilingam d, Lin I I, Khoo V, et al. 1997. A study of the effect of swell in scatterometer wind measurements using ERS SAR wave mode data. In: Stein Tammy I, ed. IGARSS'97 Proceedings, Vol. 4. Piscataway, USA: Institute of Electrical and Electronics Engineers, 1512-1514

Kasilingam d, Shemdin O. 1992. The validity of the composite surface model and its application to the modulation of radar backscatter. International Journal of Remote Sensing, 13(11): 2079-2104

Makin V K, Kudryavtsev V N, Mastenbroek C. 1995. drag of the sea surface. Boundary-Layer Meteorology, 73: 159-182

Nghiem S V, Li F K, Neumann G, et al. 1995. Observations of radar backscatter at Ku and C bands in the presence of large wave during the surface wave dynamics experiment. IEEE Transactions on Geoscience and Remote Sensing, 33(3): 708-721

Plagge A M, Vandemark d, Chapron B. 2012. Examining the impact of surface currents on satellite scatterometer and altimeter ocean wind. Journal of Atmospheric and Oceanic Technology, 29(12): 1776-1793

Quilfen Y, Chapron B, Collard F, et al. 2004. Relationship between ERS scatterometer measurement and integrated wind and wave parameters. Journal of Atmospheric and Oceanic Technology, 21(2): 368-373

Quilfen Y, Chapron B, Vandemark d. 2001. The ERS scatterometer wind measurement accuracy: evidence of seasonal and regional biases. Journal of Atmospheric and Oceanic Technology, 18(10): 1684-1697

Quilfen Y, Chapron B, Elfouhaily T K, et al. 1998. Observation of tropical cyclones by high-resolution scatterometry. Journal of Geophysical Research, 103(C4): 7767-7786

Smith S d. 1988. Coefficients for sea surface wind stress, heat flux, and wind profiles as a function of wind speed and temperature. Journal of Geophysical Research, 93(C12): 15467-15472

Stoffelen A, david A. 1997. Scatterometer data interpretation: measurement space and inversion. Journal of Atmospheric and Oceanic Technology, 14(6): 1298-1313

Tison C, Amiot T, Bourbier J, et al. 2009. directional wave spectrum estimation by SWIM instrument on CFOSAT. In: Harold Annegarn, ed. Oceans'09 MTS/IEEE Proceedings, Vol. 5. Piscataway, USA: Institute of Electrical and Electronics Engineers, 312-315

Zhang Biao, Perrrie W, Vachon P W, et al. 2012. Ocean vector wind retrieval from C-band fully polarimetric SAR measurements. IEEE Transactions on Geoscience and Remote Sensing, 50(11): 4252-4261

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文章访问数: 1845
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PDF下载量: 1576
被引次数: 0

海浪对ASCAT散射计反演风场的影响研究

doi: 10.1007/s13131-015-0600-4

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Wave effects on the retrieved wind field from the advanced scatterometer (ASCAT)

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