北印度洋海浪背景误差分析和同化预报初步评估-海洋预报

北印度洋海浪背景误差分析和同化预报初步评估

单位：1. 中国科学院海洋研究所, 山东青岛266071;
2. 中国科学院海洋环流与波动重点实验室, 山东青岛266071;
3. 中国科学院大学, 北京100049

分类号：P731.22

出版年·卷·期（页码）：2014·31·第六期（14-22）

摘要：

基于背景误差分析中的观测法,利用Jason-1 卫星高度计沿轨有效波高数据并结合WaveWatch III 海浪模式预报结果,进行北印度洋海域海浪背景误差分析,得到海浪场背景误差方差和各向同性假设下背景误差相关长度的时空分布特征.按经验函数拟合该海域有效波高背景误差协方差时总残差平方和最小的原则给出了更为适用于该海域的描述公式.在上述工作基础上,采用最优插值同化方法将Jason-1 和Jason-2 卫星高度计有效波高数据连续同化到海浪模式WaveWatch III,按业务化标准对2013 年1 月北印度洋海域的海浪场进行了同化预报试验,经浮标数据检验发现同化可使海浪24 h预报得到明显改进.

Based on the observational method, the background error analysis of waves is conducted in the North Indian Ocean area, using the data derived from Jason-1 altimeter significant wave heights (SWH) and modeled SWH by WaveWatch III. Spatial and temporal characteristics of background errors and isotropic correlation length scales are obtained. A relatively more appropriate functional form for background error correlations is found by the lowest total residual sum of square. Based on the Optimal Interpolation (OI) data assimilation method, an experiment is executed for improving wave forecast using observed SWH data from Jason-1 and Jason-2 altimeter. Compared with buoy data, the results show there are significant improvements in short-term prediction by using OI methods.

参考文献：

[1] Hollingsworth A, Lönnberg P. The statistical structure of shortrange forecast errors as determined from radiosonde data. Part I: The wind field[J]. Tellus A, 1986, 38A(2): 111-136.
[2] Parrish D F, Derber J C. The National Meteor- ological Center's spectral statistical-interpolation analysis system[J]. Monthly Weather Review, 1992, 120(8): 1747-1763.
[3] Rabier F, McNally A, Andersson E, et al. The ECMWF implementation of three-dimensional variational assimilation (3D-Var). II: Structure functions[J]. Quarterly Journal of the Royal Meteorological Society, 1998, 124(550): 1809- 1829.
[4] Greenslade D J M, Young I R. Forecast diver- gences of a global wave model[J]. Monthly Weather Review, 2005, 133(8): 2148-2162.
[5] Lionello P, Günther H, Janssen P A E M. Assimi- lation of altimeter data in a global third- generation wave model[J]. Journal of Geophysical Research,1992,97(C9):14453-14474.
[6] Mastenbroek C, Makin V, Voorrips A C, et al. Validation of ERS-1 altimeter wave height measurements and assimilation in a North Sea wave model[J]. The Global Atmosphere-Ocean System, 1994, 2: 143-161.
[7] Breivik L A, Reistad M. Assimilation of ERS-1 altimeter wave heights in an operational numerical wave model[J]. Weather and Forecasting, 1994, 9(3): 440-451.
[8] Voorrips A C, Makin V K, Hasselmann S. Assimilation of wave spectra from pitch-and-roll buoys in a North Sea wave model[J]. Journal of Geophysical Research, 1997, 102(C3): 5829-5849.
[9] Hasselmann S, Lionello P, Hasselmann K. An optimal interpolation scheme for the assimilation of spectral wave data[J]. Journal of Geophysical Research, 1997, 102(C7): 15823-15836.
[10] Dunlap E M, Olsen R B, Wilson L, et al. The effect of assimilating ERS-1 fast delivery wave data into the North Atlantic WAM model[J]. Journal of Geophysical Research: Oceans (1978-2012), 1998, 103(C4): 7901-7915.
[11] Breivik L A, Reistad M, Schyberg H, et al. Assimilation of ERS SAR wave spectra in an operational wave model [J]. Journal of Geophysical Research: Oceans (1978-2012), 1998, 103(C4): 7887-7900.
[12] Bender L C, Glowacki T. The assimilation of altimeter data into the Australian wave model[J]. Australian Meteorological Magazine, 1996, 45(1): 41-48.
[13] Young I R, Glowacki T J. Assimilation of altimeter wave height data into a spectral wave model using statistical interpolation[J]. Ocean Engineering, 1996, 23(8): 667-689.
[14] Greenslade D J M. The assimilation of ERS-2 significant wave height data in the Australian region[J]. Journal of Marine Systems, 2001, 28(1-2): 141-160.
[15] Greenslade D J M, Young I R. Background errors in a global wave model determined from altimeter data[J]. Journal of Geophysical Research: Oceans (1978-2012), 2004, 109(C9): doi: 10.1029/ 2004JC002324.
[16] 任启峰, 张杰, 尹训强, 等. Envisat ASAR 海浪谱资料的最优插值同化试验[J]. 热带海洋学报, 2010, 29(5): 17-23.
[17] 张志旭, 齐义泉, 施平, 等. 最优化插值同化方法在预报南海台风浪中的应用[J]. 热带海洋学报, 2003, 22(4): 34-41.
[18] 郭衍游, 侯一筠, 杨永增, 等. 利用WaveWatch Ⅲ 建立东中国海区域海浪同化系统[J]. 高技术通讯, 2006, 16(10): 1092-1096.
[19] 王毅, 余宙文. 卫星高度计波高数据同化对西北太平洋海浪数值预报的影响评估[J]. 海洋学报, 2009, 31(6): 1-8.
[20] 张志旭, 齐义泉, 施平, 等. 卫星高度计波高资料的同化试验分析[J]. 海洋学报, 2003, 25(5): 21-28.
[21] Esteva D C. Evaluation of preliminary experiments assimilating Seasat significant wave heights into a spectral wave model[J]. Journal of Geophysical Research, 1988, 93(C11): 14099- 14105.
[22] Bauer E, Hasselmann S, Hasselmann K, et al. Validation and assimilation of Seasat altimeter wave heights using the WAM wave model[J]. Journal of Geophysical Research: Oceans (1978-2012), 1992, 97(C8): 12671-12682.
[23] 齐鹏, 范秀梅. WAVEWATCH III 同化模块的建立和检验[J]. 海洋科学, 2013, 37(10): 111-119.
[24] Picot N, Case K, Desai S, et al. AVISO and PODAAC user handbook. IGDR and GDR Jason products[K]. SMM_MU_ M5_OP_13184_CN (AVISO) JPL D_21352 (PODAAC), 2003.
[25] JANSSEN P, ABDALLA S, HERSBACH H, et al. Error estimation of buoy, satellite, and model wave height data [J]. Journal of Atmospheric and Oceanic Technology, 2007, 24(9): 1665-1677.
[26] Dumont J, Rosmorduc V, Lillibridge L, et al. OSTM/Jason-2 products handbook[K]. CNES: SALP-MU-M-OP-15815-CN, EUMETSAT: EUM/OPS-JAS/MAN/08/0041,JPL: OSTM-29- 1237, NOAA/NESDIS: Polar Series/OSTM J, 2011.

服务与反馈：

【文章下载】【发表评论】【查看评论】【加入收藏】