NDLI: Evaluation of the Self-Consistency Principle for Calibration of the CASA Radar Network Using Properties of the Observed Precipitation Medium

Content Provider	IEEE Xplore Digital Library
Author	Trabal, J.M. Gorgucci, E. Chandrasekar, V. McLaughlin, D.J.
Copyright Year	1980
Abstract	A network of four weather radars was deployed as part of the Center for Collaborative and Adaptive Sensing of the Atmosphere (CASA). The radars operate at the X-band frequency and are capable of polarimetric measurements. The rainfall polarimetric self-consistency principle for absolute calibration is evaluated and applied to the CASA radars' data to estimate any bias in the reflectivity (Z) measurements. Moreover, prior to the application of the self-consistency principle, bias error correction of differential reflectivity (Z_DR) measurements is required. Two different approaches were evaluated for Z_DR bias correction, the dry aggregated snow approach and the light rain approach. Results of Z_DR calibration show an accuracy of 0.2 dB or better in bias estimation for the two events analyzed when both methods are compared. Moreover, results show a calibration accuracy of 0.6 dB or better for the Z bias estimated using the self-consistency principle. For verification of results, Z bias estimates from the self-consistency principle are compared with Z bias estimated from the comparison between the CASA X-band and the two nearby WSR-88D S-band radars' data. Comparison of the two approaches shows a difference in the Z bias estimation of 0.61 dB or better, which validates the use of the self-consistency principle in rainfall for the absolute radar calibration of the CASA radars. Results show that the self-consistency principle provides a means to estimate bias errors in the radar power measurements from a specific observed medium with a set of space-time characteristics that are not taken into account in the radar hardware relative calibration.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	149
Ending Page	162
Page Count	14
File Size	1976550
File Format	PDF
ISSN	01962892
Volume Number	52
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Attenuation Radar measurements Rain Calibration Radar polarimetry Radar antennas rainfall estimation Polarimetric radar calibration radar network
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

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