Articles | Volume 13, issue 3
Atmos. Meas. Tech., 13, 1051–1069, 2020
Atmos. Meas. Tech., 13, 1051–1069, 2020

Research article 04 Mar 2020

Research article | 04 Mar 2020

Monitoring the differential reflectivity and receiver calibration of the German polarimetric weather radar network

Michael Frech and John Hubbert

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Cited articles

Al-Sakka, H., Boumahmoud, A.-A., Fradon, B., Frasier, S. J., and Tabary, P.: A new fuzzy logic hydrometeor classification scheme applied to the French X-, C-, and S-band polarimetric radars, J. Appl. Meteor. Climatol., 52, 2328–2344, 2013. a
Bringi, V. N. and Chandrasekar, V.: Polarimetric Doppler Weather Radar, Cambridge University Press, Cambridge,, 2001. a, b, c, d
Bringi, V. N., Rico-Ramirez, M. A., and Thurai, M.: Rainfall Estimation with an Operational Polarimetric C-Band Radar in the United Kingdom: Comparison with a Gauge Network and Error Analysis, J. Hydrometeor., 12, 935–954, 2011. a
Diederich, M., Ryzhkov, A., Simmer, C., Zhang, P., and Trömel, S.: Use of Specific Attenuation for Rainfall Measurement at X-Band Radar Wavelengths. Part I: Radar Calibration and Partial Beam Blockage Estimation, J. Hydrometeor., 16, 487–502, 2015. a
Dixon, M., Hubbert, J., and Ice, R.: ZDR calibration, in: 10th Europ. Conf. On Radar in Meteor. and Hydrol., short cource on ZDR calibration, available at: (last access: 1 March 2020), 2018. a
Short summary
The prime source of the temperature sensitivity of ZDR can be attributed to the antenna assembly. This result is based on over 2000 solar box scans. These data also reveal that there is a 0.6 dB decrease in gain for a 10 °C temperature increase, which directly relates to a bias of the radar reflectivity factor Z, which has not been not accounted for previously. The ZDR variability in and ZDR calibration performance of the German weather radar network are shown.