2015
DOI: 10.5194/amt-8-2521-2015
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A novel approach for absolute radar calibration: formulation and theoretical validation

Abstract: Abstract. The theoretical framework of a novel approach for absolute radar calibration is presented and its potential analysed by means of synthetic data to lay out a solid basis for future practical application. The method presents the advantage of an absolute calibration with respect to the directly measured reflectivity, without needing a previously calibrated reference device. It requires a setup comprising three radars: two devices oriented towards each other, measuring reflectivity along the same horizon… Show more

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Cited by 5 publications
(3 citation statements)
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“…The calibration process is carried out in each district for monthly rainfall data for three years. Each calibration process is carried out with the solver repeatedly until the results obtained are close to the results of field measurements [21], [22]. The solver process will produce cumulative and individual errors smaller than the initial conditions.…”
Section: Calibrationmentioning
confidence: 99%
“…The calibration process is carried out in each district for monthly rainfall data for three years. Each calibration process is carried out with the solver repeatedly until the results obtained are close to the results of field measurements [21], [22]. The solver process will produce cumulative and individual errors smaller than the initial conditions.…”
Section: Calibrationmentioning
confidence: 99%
“…We can also avoid the problem of absolute radar calibration by using variables not affected by absolute calibration, such as the higher moments of the radar Doppler spectrum (Maahn et al, 2015), attenuation (Matrosov, 2005) and some polarimetric variables such as depolarization ratio (Matrosov et al, 2017), differential reflectivity, and differential phase shift (Oue et al, 2018). Yet, excluding variables reduces the information content of the observations significantly (Maahn and Löhnert, 2017) depending on the application.…”
Section: Introductionmentioning
confidence: 99%
“…Radar data has also been used to calibrate a 4 level Poisson clustering process to model rainfall fields (Kavvas and Chen, 1989). More recently, this approach of numerical experiment has for example been used in Merker et al 2015 to improve radar calibration, but not at the drop scale as done in this paper.…”
Section: ) Introductionmentioning
confidence: 99%