基于交叉點數(shù)據(jù)和三維非參數(shù)模型的雷達高度計海況偏差估計方法

蔣茂飛; 許可; 劉亞龍; 王磊

doi:10.11999/JEIT160195

基于交叉點數(shù)據(jù)和三維非參數(shù)模型的雷達高度計海況偏差估計方法

doi: 10.11999/JEIT160195

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出版歷程
- 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: 海況偏差(Sea State Bias, SSB)是雷達高度計測量海面高度的重要誤差源。目前，業(yè)務(wù)化運行的雷達高度計的海況偏差校正都是采用基于風速(U)和有效波高(SWH)的2維經(jīng)驗?zāi)Ｐ头椒?，其海況偏差校正不確定度約為2 cm。該文提出一種基于交叉點數(shù)據(jù)和3維非參數(shù)模型的海況偏差估計方法，該方法利用星下交叉點數(shù)據(jù)，采用基于U, SWH以及平均波周期(MWP)的3維非參數(shù)模型進行海況偏差估計。該文利用這種估計方法對Jason-2衛(wèi)星雷達高度計2009~2011年3年的數(shù)據(jù)進行了處理，將處理結(jié)果與Jason-2衛(wèi)星高度計的地球物理數(shù)據(jù)集(Geophysical Data Records, GDR)中的海況偏差校正項進行對比，結(jié)果表明該文提出的海況偏差估計方法平均能降低1.64 cm2的交叉點海面高度不符值的方差和0.92 cm2的沿軌海面高度異常值的方差，分別對應(yīng)于1.28 cm和0.96 cm的均方根(RMS)海面高度，這對于提高高度計數(shù)據(jù)產(chǎn)品的精度具有重要意義。
- 雷達高度計 /
- 海況偏差 /
- 交叉點 /
- 3維非參量模型
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

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參考文獻(25)

萬珺之. 基于有源定標器的海洋二號高度計系統(tǒng)延遲在軌絕對定標研究[D]. [博士論文], 中國科學院國家空間科學中心, 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. 高精度衛(wèi)星雷達高度計數(shù)據(jù)處理技術(shù)研究[D]. [博士論文], 中國科學院國家空間科學中心, 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, 許可, 史靈衛(wèi), 等. 一種消除合成孔徑雷達高度計延遲校正中殘余誤差的新算法及仿真驗證[J]電子與信息學報, 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. 改進的高度計海況偏差估計參數(shù)模型研究[J]. 中國海洋大學學報(自然科學版), 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. 海浪理論與計算原理[M]. 北京: 科學出版社, 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.

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