Articles | Volume 18, issue 5
https://doi.org/10.5194/amt-18-1185-2025
https://doi.org/10.5194/amt-18-1185-2025
Research article
 | 
07 Mar 2025
Research article |  | 07 Mar 2025

Mitigating radome-induced bias in X-band weather radar polarimetric moments using an adaptive discrete Fourier transform algorithm

Padmanabhan Thiruvengadam, Guillaume Lesage, Ambinintsoa Volatiana Ramanamahefa, and Joël Van Baelen

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Rain gauges and X-band radar hourly comparison under complex orographic conditions in Reunion Island during the passage of the cyclone Batsirai
Ambinintsoa Volatiana Ramanamahefa, Thiruvengadam Padmanabhan, Guillaume Lesage, and Joël Van Baelen
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-190,https://doi.org/10.5194/amt-2024-190, 2025
Preprint under review for AMT
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Cited articles

Figueras i Ventura, J., Boumahmoud, A. A., Fradon, B., Dupuy, P., and Tabary, P.: Long-term monitoring of French polarimetric radar data quality and evaluation of several polarimetric quantitative precipitation estimators in ideal conditions for operational implementation at C-band, Q. J. Roy. Meteor. Soc., 138, 2212–2228, https://doi.org/10.1002/qj.1934, 2012.  
Figueras i Ventura, J., Schauwecker, Z., Lainer, M., and Grazioli, J.: On the Effect of Radome Characteristics on Polarimetric Moments and Sun Measurements of a Weather Radar, IEEE Geosci. Remote Sens., 18, 642–646, https://doi.org/10.1109/LGRS.2020.2981993, 2021. 
Frech, M., Lange, B., Mammen, T., Seltmann, J., Morehead, C., and Rowan, J.: Influence of a radome on antenna performance, J. Atmos. Ocean. Tech., 30, 313–324, https://doi.org/10.1175/JTECH-D-12-00033.1, 2013. 
Georgis, J. F., Roux, F., and Hildebrand, P. H.: Observation of Precipitating Systems over Complex Orography with Meteorological Doppler Radars: A Feasibility Study, Meteorol. Atmos. Phys., 72, 185–202, https://doi.org/10.1007/s007030050015, 2000. 
Gourley, J. J., Tabary, P., and du Chatelet, J. P.: Data Quality of the Meteo-France C-Band Polarimetric Radar, J. Atmos. Ocean. Tech., 23, 1340–1356, https://doi.org/10.1175/JTECH1912.1, 2006. 
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This study explores how the joints in a weather radar's protective cover affect its measurements. We developed a new method to correct these errors, improving the accuracy of the radar's data. Our method was tested during an intense cyclone on Réunion Island, demonstrating significant improvements in data accuracy. This research is crucial for enhancing weather predictions and understanding, particularly in challenging terrains.
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