Analytic characterization of random errors in spectral dual-polarized cloud radar observations

Myagkov, Alexander; Ori, Davide

doi:https://doi.org/10.5194/amt-15-1333-2022

Articles | Volume 15, issue 5

Atmos. Meas. Tech., 15, 1333–1354, 2022

https://doi.org/10.5194/amt-15-1333-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Fusion of radar polarimetry and numerical atmospheric modelling...

Atmos. Meas. Tech., 15, 1333–1354, 2022

https://doi.org/10.5194/amt-15-1333-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 5

Research article 14 Mar 2022

Research article | 14 Mar 2022

Analytic characterization of random errors in spectral dual-polarized cloud radar observations

Alexander Myagkov and Davide Ori

Supplement

https://doi.org/10.5194/amt-15-1333-2022-supplement

Data sets

W-band dataset with I/Q measurement for an AMT manuscript (1.0) Alexander Myagkov and Christine Unal https://doi.org/10.5281/zenodo.5126813

Short summary

This study provides equations to characterize random errors of spectral polarimetric observations from cloud radars. The results can be used for a broad spectrum of applications. For instance, accurate error characterization is essential for advanced retrievals of microphysical properties of clouds and precipitation. Moreover, error characterization allows for the use of measurements from polarimetric cloud radars to potentially improve weather forecasts.