Rainfall rate retrieval in presence of path attenuation using C-band polarimetric weather radars

Vulpiani, G.; Marzano, Frank S.; Chandrasekar, V.; Berne, Alexis; Uijlenhoet, R.

doi:10.5194/nhess-6-439-2006

Cited by 13 publications

(10 citation statements)

References 38 publications

(62 reference statements)

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“…More sophisticated approaches (Vulpiani et al 2006) will probably provide a more accurate correction of Z H and Z DR and could give better rainfall estimations. This is a useful and practical simplification in a real-time framework, but it could lead to a bad attenuation estimation in certain meteorological situations.…”

Section: Discussionmentioning

confidence: 99%

An Algorithm for Real-Time Rainfall Rate Estimation by Using Polarimetric Radar: RIME

Silvestro

Rebora

Ferraris

2009

Journal of Hydrometeorology

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Polarimetric radars provide measurements that describe the shape and dimensions of hydrometeors and are unaffected by calibration, attenuation, and the presence of ice. These measurements can potentially lead to a more detailed description of hydrometeors and to an improvement in quantitative rainfall rate estimation. The authors present an algorithm that exploits polarimetric measures for rain-rate estimation and investigate its application in a real-time framework by using measurements from the C-band polarimetric radar at Monte Settepani in Savona, Italy. It is based on a flowchart decision tree that allows the use of the best rain-rate retrieval algorithm, depending on the value of polarimetric variables. The methodology was applied to a realtime framework for more than a year, and the results were presented for all the significant events observed during the test period. To evaluate the performance of the algorithm, a comparison was made with rain gauge observation from a dense regional network. The performances of the algorithm were compared with those obtained by standard operational Z-R formulations to evaluate the benefit of this approach for operational applications.

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Section: Discussionmentioning

confidence: 99%

An Algorithm for Real-Time Rainfall Rate Estimation by Using Polarimetric Radar: RIME

Silvestro

Rebora

Ferraris

2009

Journal of Hydrometeorology

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“…However, the presented stochastic simulator of rainfall microstructure also provides a potential test bed for multi-parameter attenuation correction techniques (e.g., Illingworth et al, 2000;Testud et al, 2000;Vulpiani et al, 2005Vulpiani et al, , 2006a. Moreover, a stochastic rainfall model which explicitly treats the spatial and/or temporal variations of raindrop size distributions could also be relevant for several other hydrological applications, e.g.…”

Section: Discussionmentioning

confidence: 99%

Stochastic simulation experiment to assess radar rainfall retrieval uncertainties associated with attenuation and its correction

Uijlenhoet

Berne

2008

Hydrol. Earth Syst. Sci.

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Abstract.As rainfall constitutes the main source of water for the terrestrial hydrological processes, accurate and reliable measurement and prediction of its spatial and temporal distribution over a wide range of scales is an important goal for hydrology. We investigate the potential of ground-based weather radar to provide such measurements through a theoretical analysis of some of the associated observation uncertainties. A stochastic model of range profiles of raindrop size distributions is employed in a Monte Carlo simulation experiment to investigate the rainfall retrieval uncertainties associated with weather radars operating at X-, C-, and S-band. We focus in particular on the errors and uncertainties associated with rain-induced signal attenuation and its correction for incoherent, non-polarimetric, single-frequency, operational weather radars. The performance of two attenuation correction schemes, the (forward) Hitschfeld-Bordan algorithm and the (backward) Marzoug-Amayenc algorithm, is analyzed for both moderate (assuming a 50 km path length) and intense Mediterranean rainfall (for a 30 km path). A comparison shows that the backward correction algorithm is more stable and accurate than the forward algorithm (with a bias in the order of a few percent for the former, compared to tens of percent for the latter), provided reliable estimates of the total path-integrated attenuation are available. Moreover, the bias and root mean square error associated with each algorithm are quantified as a function of path-averaged rain rate and distance from the radar in order to provide a plausible order of magnitude for the uncertainty in radar-retrieved rain rates for hydrological applications.

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“…where the parameters a, b, and α are adjusted for a given beam in such a way that the optimal set of parameters will produce a minimum error in (14). This new algorithm will be referred as adaptive HB (herein referred as AHB).…”

Section: Extended Attenuation Correction Algorithmsmentioning

confidence: 98%

“…Nevertheless, the FV algorithm has been applied in previous studies [14], [16]. In summary, (7) depends on the parameters a and b, (8) depends on the parameters b and α, and (11) depends on the parameters a, b, and α.…”

Section: Attenuation Correction Techniquesmentioning

confidence: 99%

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Adaptive Attenuation Correction Techniques for C-Band Polarimetric Weather Radars

Rico‐Ramirez

2012

IEEE Trans. Geosci. Remote Sensing

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This paper presents the results of a study designed to evaluate the performance of attenuation correction algorithms due to heavy precipitation at operational C-band weather radar frequencies and using differential phase measurements. This paper proposes the extension of two attenuation correction algorithms and shows a methodology to validate attenuation-corrected reflectivity measurements by using a nearby radar as opposed to the traditional use of rain gauge or disdrometer measurements. The results showed that the the adaptive attenuation correction techniques have a higher performance than the nonadaptive ones when comparing the measured and computed Φ DP profiles and also when comparing with reflectivity measurements from a nearby radar. The results also showed that the difference in the performance of the adaptive attenuation correction algorithms is minimal and optimizing a single parameter (e.g., α in the BRI algorithm) rather than three unknown parameters (e.g., a, b, and α in the AHB or AFV algorithms) is a more robust procedure.

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Rainfall rate retrieval in presence of path attenuation using C-band polarimetric weather radars

Cited by 13 publications

References 38 publications

An Algorithm for Real-Time Rainfall Rate Estimation by Using Polarimetric Radar: RIME

An Algorithm for Real-Time Rainfall Rate Estimation by Using Polarimetric Radar: RIME

Stochastic simulation experiment to assess radar rainfall retrieval uncertainties associated with attenuation and its correction

Adaptive Attenuation Correction Techniques for C-Band Polarimetric Weather Radars

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