Quantitative analysis of X-band weather radar attenuation correction accuracy
At short wavelengths, especially C-, X-, and K-band, weather radar signals are attenuated by the precipitation along their paths. This constitutes a major source of error for radar rainfall estimation, in particular for intense precipitation. A recently developed stochastic simulator of range profil...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2006-01-01
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| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | http://www.nat-hazards-earth-syst-sci.net/6/419/2006/nhess-6-419-2006.pdf |
| _version_ | 1819020460577259520 |
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| author | A. Berne R. Uijlenhoet |
| author_facet | A. Berne R. Uijlenhoet |
| author_sort | A. Berne |
| collection | DOAJ |
| description | At short wavelengths, especially C-, X-, and K-band, weather radar signals are attenuated by the precipitation along their paths. This constitutes a major source of error for radar rainfall estimation, in particular for intense precipitation. A recently developed stochastic simulator of range profiles of raindrop size distributions (DSD) provides a controlled experiment framework to investigate the accuracy and robustness of attenuation correction algorithms. The work presented here focuses on the quantification of the influence of uncertainties concerning radar calibration, the parameterization of power law relations between the integral variables (radar reflectivity <i>Z</i> and specific attenuation <i>k</i>), and total path integrated attenuation (PIA) estimates at X-band. The analysis concerns single frequency, incoherent and non-polarimetric radar systems. Two attenuation correction algorithms, based on a forward and a backward implementation respectively, are studied. From DSD range profiles, the corresponding profiles of integral radar variables are derived. Using a Monte Carlo approach, the accuracy and robustness of the two algorithms are quantified for the different sources of error previously mentioned. This framework of realistic DSD variability provides a robust way to confirm that, under realistic assumptions concerning the PIA estimation uncertainty, the forward algorithm outperforms the backward algorithm for PIA values below 10 dB. |
| first_indexed | 2024-12-21T03:51:34Z |
| format | Article |
| id | doaj.art-5d2b001ce2a740c18ab2bac8e65ccd04 |
| institution | Directory Open Access Journal |
| issn | 1561-8633 1684-9981 |
| language | English |
| last_indexed | 2024-12-21T03:51:34Z |
| publishDate | 2006-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Natural Hazards and Earth System Sciences |
| spelling | doaj.art-5d2b001ce2a740c18ab2bac8e65ccd042022-12-21T19:16:57ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812006-01-0163419425Quantitative analysis of X-band weather radar attenuation correction accuracyA. BerneR. UijlenhoetAt short wavelengths, especially C-, X-, and K-band, weather radar signals are attenuated by the precipitation along their paths. This constitutes a major source of error for radar rainfall estimation, in particular for intense precipitation. A recently developed stochastic simulator of range profiles of raindrop size distributions (DSD) provides a controlled experiment framework to investigate the accuracy and robustness of attenuation correction algorithms. The work presented here focuses on the quantification of the influence of uncertainties concerning radar calibration, the parameterization of power law relations between the integral variables (radar reflectivity <i>Z</i> and specific attenuation <i>k</i>), and total path integrated attenuation (PIA) estimates at X-band. The analysis concerns single frequency, incoherent and non-polarimetric radar systems. Two attenuation correction algorithms, based on a forward and a backward implementation respectively, are studied. From DSD range profiles, the corresponding profiles of integral radar variables are derived. Using a Monte Carlo approach, the accuracy and robustness of the two algorithms are quantified for the different sources of error previously mentioned. This framework of realistic DSD variability provides a robust way to confirm that, under realistic assumptions concerning the PIA estimation uncertainty, the forward algorithm outperforms the backward algorithm for PIA values below 10 dB.http://www.nat-hazards-earth-syst-sci.net/6/419/2006/nhess-6-419-2006.pdf |
| spellingShingle | A. Berne R. Uijlenhoet Quantitative analysis of X-band weather radar attenuation correction accuracy Natural Hazards and Earth System Sciences |
| title | Quantitative analysis of X-band weather radar attenuation correction accuracy |
| title_full | Quantitative analysis of X-band weather radar attenuation correction accuracy |
| title_fullStr | Quantitative analysis of X-band weather radar attenuation correction accuracy |
| title_full_unstemmed | Quantitative analysis of X-band weather radar attenuation correction accuracy |
| title_short | Quantitative analysis of X-band weather radar attenuation correction accuracy |
| title_sort | quantitative analysis of x band weather radar attenuation correction accuracy |
| url | http://www.nat-hazards-earth-syst-sci.net/6/419/2006/nhess-6-419-2006.pdf |
| work_keys_str_mv | AT aberne quantitativeanalysisofxbandweatherradarattenuationcorrectionaccuracy AT ruijlenhoet quantitativeanalysisofxbandweatherradarattenuationcorrectionaccuracy |