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- W4200436314 abstract "This study presents the ï¬rst-ever complete characterization of random errors in dual-polarimetric spectral observations of meteorological targets by cloud radars. The characterization is given by means of mathematical equations for joint probability density functions (PDF) and error covariance matrices. The derived equations are checked for consistency using real radar measurements. One of the main conclusions of the study is that the convenient representation of spectral polarimetric measurements including differential reï¬ectivity ZDR, correlation coefï¬cient pHV, and differential phase ΦDP is not suited for the proper characterization of the error covariance matrix. This is because the aforementioned quantities are complex, non-linear functions of the radar raw data and thus their error covariance matrix is commonly derived using simpliï¬ed linear relations and by neglecting the correlation of errors. This study formulates the spectral polarimetric measurements in terms of a different set of quantities that allows for a proper analytic treatment of their error covariance matrix. The results given in this study allow for utilization of spectral polarimetric measurements for advanced meteorological applications, among which are variational retrieval techniques, data assimilation, and sensitivity analysis." @default.
- W4200436314 created "2021-12-31" @default.
- W4200436314 creator A5032765872 @default.
- W4200436314 date "2021-11-26" @default.
- W4200436314 modified "2023-09-29" @default.
- W4200436314 title "Reply on RC2" @default.
- W4200436314 doi "https://doi.org/10.5194/amt-2021-225-ac2" @default.
- W4200436314 hasPublicationYear "2021" @default.
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