摘要
运用LAPS数据融合分析系统,探讨将HY-2卫星海面风场(SSW)资料进行融合处理,提供规范化的区域再分析资料。经过多步资料预处理后将数据输入LAPS系统,并分析验证融合效果,获得HY-2卫星融合数据。结果表明,HY-2卫星的SSW数据的LAPS融合,需采用LAPS地面分析模块,才能有效地将数据输入LAPS系统。对HY-2卫星海面风场反演数据经过异常值剔除、卫星扫描网格处理、卫星数据平滑滤波等几项预处理,可以修订卫星数据固有偏差和滤除卫星精细化扫描携带的噪音,更恰当地显示卫星对近海面风场的精细化描述。交叉验证显示,预处理后的资料能有效保留原始资料中的重要的精细化数据信息。卫星SSW数据的区域LAPS融合产品改善了卫星扫描区的空间覆盖率在时空上的多变性,提供了可进行物理量诊断计算的经纬度网格区域场,满足了专业分析和研究对资料的要求。融合后的卫星SSW数据场在用于对海上台风、海上副高、近海面辐合中心等系统的分析和诊断中,对各系统中的中尺度结构时空特征给出了更为具体和定量化的描述。
The Local Analysis Prediction System （LAPS） is used in this study to assimilate the sea surface vector wind （SSW） data observed by HY-2 satellite, and to obtain the standardized reanalysis data. Through a multi-step data preprocessing procedure, the SSW of HY-2 is input into LAPS system. After analysis and verification, the results show that, in order to effectively fuse the HY-2 satellite SSW data, the Surface Data Ingest module of LAPS is required to input the SSW data, and the input channel is better than other ways. Raw data is preprocessed by several steps, including outliers elimination, satellite scanning grids numerical treatment, data smoothing etc. The preproeessing methods can amend the inherent bias and filter out the noise of raw data. The results of cross-validation show that preprocessed data can effectively preserve the fine scale information of the raw data. Regional fusion of SSW in LAPS improves the coverage of HY-2 satellite in spatial and temporal variabilities, provides a field that can be used to calculate physical diagnosis in standard regional zone, and satisfies the requirements of analysis and study. The LAPS fusion products can be used in various numerical analyses and diagnoses on the weather systems over the sea, such as typhoon, subtropical high, and convergence zone, and it can provide a more detailed and quantitative description for spatial and temporal features of meso-scale systems in large scale circulation background above the sea surface.
出处
《海洋预报》
2015年第4期12-22,共11页
Marine Forecasts
基金
国家自然科学基金面上项目(41276033)
国家科技支撑项目(2012BAH05B01)
气象公益性行业专项(201206068)
国家气象局气候变化专业江苏气候变化评估项目(CCSF201318)
江苏科技支撑项目(BE2012774
BE2014729)
江苏高校优秀学科建设工程项目(PAPD)
