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Fusion of Ground-Based and Spaceborne Radar Precipitation Based on Spatial Domain Regularization

Journal of Meteorological Research 2024年第2期38卷 285-302页

作者： Anfan HUANG Leilei KOU Yanzhi LIANG Ying MAO Haiyang GAO Zhigang CHU School of Atmospheric Physics Nanjing University of Information Science&TechnologyNanjing 210044 Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science&TechnologyNanjing 210044

High-quality and accurate precipitation estimations can be obtained by integrating precipitation information measures using ground-based and spaceborne radars in the same target *** the true precipitation state is a typical inverse problem for a given set of noisy radar precipitation *** regularization method can appropriately constrain the inverse problem to obtain a unique and stable *** different types of precipitation with different prior distributions,the L_(1) and L_(2) norms were more effective in constraining stratiform and convective precipitation,*** a combination of L_(1) and L_(2) norms,the huber norm is more suitable for mixed precipitation *** study uses different regularization norms to combine precipitation data from the C-band dual-polarization ground radar(CDP)and dual-frequency precipitation radar(DPR)on the Global Precipitation Measurement(GPM)mission core *** to single-source radar data,the fused figures contain more information and present a comprehensive precipitation structure encompassing the reflectivity and precipitation *** 27 precipitation cases,the fusion results utilizing the huber norm achieved a structural similarity index measure(SSIM)and a peak signal-to-noise ratio(PSNR)of 0.8378 and 30.9322,respectively,compared with the CDP *** fusion results showed that the huber norm effectively amalgamate the features of convective and stratiform precipitation,with a reduction in the mean absolute error(MAE;16.1%and 22.6%,respectively)and root-mean-square error(RMSE;11.7%and 13.6%,respectively)compared to the 1-norm and ***,in contrast to the fusion results of scale recursive estimation(SRE),the huber norm exhibits superior capability in capturing the localized precipitation intensity and reconstructing the detailed features of precipitation.

关键词： dual-frequency precipitation radar(DPR) dual-polarization radar data fusion regularization huber norm

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A Modified Multiple Matching Method Based on Equipoise Pseudomulti-Channel Filter and huber Nor

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Communications in Computational Physics 2020年第6期28卷 498-517页

作者： Yinting Wu J.T.Wu School of Geological and Surveying&Mapping Engineering Chang’an UniversityXi’an 710064P.R.China School of CML Engineering&Architecture Ningbo Institute of TechnologyZhejiang UniversityNingbo 315100P.R.China

This study is aimed at improving multiple adaptive *** propose a modified pseudomulti-channel matching method based on the huber norm,to adjust the matching differences on frequency and phase between the predicted multi-ples and original *** second-order derivative of the predicted multiples is utilized to replace the derivative of its Hilbert *** to the additional frequency term,this method can enhance the high-frequency *** introduce 180◦phase rotation of the multiple channels,which can decrease phase *** huber norm interpolates between smooth L2 norm treatment of small residuals and robust L1 norm treatment of large *** method can eliminate the restriction of large value conditions from the L2 norm and weaken the condition of orthogonality from the L1 *** applications of the Pluto and Delft models shows that compared with pseudomulti-channel matching filter,the main frequency is increased from 36 Hz to 38 Hz,and the primary reflection wave is more *** practical application of field data verifies the effectiveness of the proposed method.

关键词： Multiple adaptive matching filter equipoise pseudomulti-channel huber norm second-order derivative

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