Accuracy of the engineering calibration of weather radars

Gekat, Frank; Hille, Markus; Niese, Harry; Pool, Markus

doi:10.1109/igarss.2010.5653556

Cited by 3 publications

(2 citation statements)

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“…Por exemplo, o Sol é utilizado para verificar o posicionamento da antena, ganho da antena e calibração do receptor que também pode ser feito por um gerador de sinal externo. As esferas metálicas ou tetraedros servem para verificar as perdas da transmissão e recepção do sinal, bem como a PT (Scarchilli et al, 1995;Gekat et al, 2010).…”

Section: Introductionunclassified

Metodologia Para Integração De Uma Rede De Radares Meteorológicos: Aplicação Para O Estado De São Paulo

Morales

Amorim²

2016

CeN

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This study presents two procedures to integrate three weather radars in the State of São Paulo that can be extended to any other radar network. The methology consists of a radar calibration procedure followed by the integratio. The radar calibration is based on the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) coincident measurements. In this procedure, it was found that both Salesópolis and Presidente Prudent weather radars were over-estimating the radar refletivity fator (Z) by +6.0 and +4.4 dBZ respectively, while Bauru radar was under-estimating by -4.3 dBZ. Upon the calibration, the 3 weather radars were integrated by employing the constant altitude plan position indicator (CAPPIs) and the iluminated volume projected in a 3D space. In the CAPPI procedure, only the distance from the radar was used to weight the measurements, while for the volumetric methodology we employed the contribution of the ilumilated volume fraction that intercepted the integrated volume. Based on these two approaches it was found that the CAPPI integration presented under estimation for Z < 29 dBZ and super-estimation above, while the Volumetric method understimate almost constant at 0,5 dBZ.

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Section: Introductionunclassified

Metodologia Para Integração De Uma Rede De Radares Meteorológicos: Aplicação Para O Estado De São Paulo

Morales

Amorim²

2016

CeN

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“…Aspects such as antenna gain, beam angles, frequency accuracy, pulse length, and loss estimations (in radome and in the receiving filters) constitute some of the many factors that should be considered in a radar calibration process [8]. The following is a list of the most relevant factors to radar calibration: [8].…”

Section: Uncertainty Due To Calibrations Involving Radar Distancementioning

confidence: 99%

Uncertainty Model For Quantitative Precipitation Estimation Using Weather Radars

Vargas¹,

Neira²,

Pomar³

2016

IJIMAI

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-This paper introduces an uncertainty model for the quantitatively estimate precipitation using weather radars. The model considers various key aspects associated to radar calibration, attenuation, and the tradeoff between accuracy and radar coverage. An S-band-radar case study is presented to illustrate particular fractional-uncertainty calculations obtained to adjust various typical radar-calibration elements such as antenna, transmitter, receiver, and some other general elements included in the radar equation. This paper is based in "Guide to the expression of Uncertainty in measurement" [1] and the results show that the fractional uncertainty calculated by the model was 40 % for the reflectivity and 30% for the precipitation using the Marshall Palmer Z-R relationship.

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Beam Steering Control System for Low-Cost Phased Array Weather Radars: Design and Calibration Techniques

Medina-Sanchez¹

2017

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Accuracy of the engineering calibration of weather radars

Cited by 3 publications

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Metodologia Para Integração De Uma Rede De Radares Meteorológicos: Aplicação Para O Estado De São Paulo

Metodologia Para Integração De Uma Rede De Radares Meteorológicos: Aplicação Para O Estado De São Paulo

Uncertainty Model For Quantitative Precipitation Estimation Using Weather Radars

Beam Steering Control System for Low-Cost Phased Array Weather Radars: Design and Calibration Techniques

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