@inproceedings{c20aeecca01246b1bb016338f79738e5,
title = "Assessing Polarimetric Weather Radar Data Quality Under Cross-Polar Coupling and Sampling Limits",
abstract = "The impact of cross-polar coupling and a finite available number of echo samples on the data quality of polarimetric weather radar data is investigated. A system model and a two-step simulation approach are proposed to simulate realistic time series of the received weather radar signals. The proposed simulation methodology is applied to a rainfall scenario to illustrate the data quality of two widely used weather radar measurement schemes. Through simulation of the bounds within which 90\% of the resulting estimates fall, it is demonstrated that the finite sample size introduces deviations that limit the data quality, even in designs with low cross-polar coupling.",
keywords = "Data quality, polarimetry, polarimetric coupling, weather radar",
author = "J. Heylen and T. Dash and G. Theis and Meer, \{R. van der\} and Y. Aslan and A. Yarovoy",
note = "Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 2025 IEEE Radar Conference (RadarConf25) ; Conference date: 04-10-2025 Through 10-10-2025",
year = "2025",
doi = "10.1109/RadarConf2559087.2025.11205140",
language = "English",
isbn = "979-8-3315-4434-8",
series = "Proceedings of the IEEE Radar Conference",
publisher = "IEEE",
pages = "1484--1489",
editor = "Marek Rupniewski and Shannon Blunt and Jacek Misiurewicz and Greco, \{Maria Sabrina\} and Braham Himed",
booktitle = "Proceedings of the 2025 IEEE Radar Conference, RadarConf 2025",
address = "United States",
}