兩種面向數(shù)值同化的風(fēng)廓線雷達(dá)資料質(zhì)量控制方法比較分析

doi:10.12306/2020jms.0061

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兩種面向數(shù)值同化的風(fēng)廓線雷達(dá)資料質(zhì)量控制方法比較分析
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                        10.12306/2020jms.0061
                    
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中圖分類號:P412.25
基金項(xiàng)目:福建省自然科學(xué)基金資助項(xiàng)目(2016J05092); 海峽氣象開放實(shí)驗(yàn)室開放課題(2019KX06)

Comparative analysis of two data quality control methods for wind profile radar to numerical assimilation

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本文利用2018年2月2—11日福建9部CFL-06風(fēng)廓線雷達(dá)小時(shí)風(fēng)場與ECMWF模式背景再分析資料觀測增量數(shù)據(jù),首先制定了基于迭代加權(quán)最小協(xié)方差行列式(IRMCD)和雙權(quán)重標(biāo)準(zhǔn)差(BSD)方法在處理觀測增量數(shù)據(jù)時(shí)獲得最優(yōu)參數(shù)的判定指標(biāo)峰偏值KS,然后對兩種方法在處理風(fēng)場離群值的性能和特性上展開比較分析。結(jié)果表明:總體上來說,兩種方法在判定風(fēng)廓線雷達(dá)風(fēng)場數(shù)據(jù)的離群值都具有良好的效果,但是從波形指標(biāo)、統(tǒng)計(jì)指標(biāo)、概率密度分布、Q-Q圖上看IRMCD比BSD方法能判定更多的離群值,各項(xiàng)指標(biāo)都更接近于正態(tài)分布;從散點(diǎn)分布上看,IRMCD方法獲得的非離群值的分布近似“橢圓形”特征,BSD方法獲得的非離群值分布近似“方形”特征,同時(shí)BSD方法在判定離群值的“方形”四個(gè)角中存在一定量的誤判,這是由各自機(jī)理所決定的,IRMCD方法能夠同時(shí)處理二維向量并具有防止假陽性誤判的機(jī)制,而BSD方法在處理二維向量時(shí)只能分別進(jìn)行判定離群值;在風(fēng)羽圖的分析中也能看出IRMCD方法能夠有效剔除與實(shí)際大氣不合理的高低空風(fēng)。因此,IRMCD方法更適合應(yīng)用于循環(huán)數(shù)值同化的風(fēng)廓線雷達(dá)水平風(fēng)質(zhì)量控制。

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Based on the background reanalysis data of nine CFL-06 wind profiler radars hourly wind fields and ECMWF model in Fujian Province from 2 to 11 February, 2018, the Iterated Reweighted Minimum Covariance Determinant(IRMCD) and Biweight Standard Deviation(BSD) were used to obtain the peak bias KS of the optimal parameter when processing the incremental observation data. Then the performance and characteristics of the two methods were compared and analyzed.Resultsshow that: generally speaking, the two methods have good results in determining the outliers of wind field data of wind profiler radar, but from the waveform index, statistical index, probability density distribution and Q-Q diagram, IRMCD can determine more outliers than BSD method, and each index is closer to the normal distribution; from the scatter diagram, the distribution of non-outliers obtained by IRMCD method is similar to the “oval” feature. The non outlier distribution obtained by BSD method is similar to the “square” feature. At the same time, there is a certain amount of misjudgment in the four corners of BSD method, which is determined by their own mechanism.IRMCD method can deal with two-dimensional vector at the same time and has the mechanism of preventing false positive misjudgment, while BSD method can only deal with two-dimensional vector separately. It can also be seen from the analysis of the wind plume that the IRMCD method can effectively eliminate the unreasonable high and low air winds. Therefore, IRMCD method is more suitable for horizontal wind quality control of wind profile radar with cyclic numerical assimilation.

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汪學(xué)淵,林銀杰,劉德強(qiáng),林立崢.兩種面向數(shù)值同化的風(fēng)廓線雷達(dá)資料質(zhì)量控制方法比較分析.氣象科學(xué),2022,42(4):495-505 WANG Xue-yuan, LIN Yin-jie, LIU De-qiang, LIN Li-zheng. Comparative analysis of two data quality control methods for wind profile radar to numerical assimilation. Journal of the Meteorological Sciences,2022,42(4):495-505

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收稿日期:2020-06-06
最后修改日期:2020-07-11
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在線發(fā)布日期: 2022-10-20
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