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GLUE based marine X-band weather radar data calibration and uncertainty estimation

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GLUE based marine X-band weather radar data calibration and uncertainty estimation. / Nielsen, Jesper Ellerbæk; Beven, Keith John; Thorndahl, Søren et al.
In: Urban Water Journal , Vol. 12, No. 4, 2015, p. 283-294.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Nielsen, JE, Beven, KJ, Thorndahl, S & Rasmussen, MR 2015, 'GLUE based marine X-band weather radar data calibration and uncertainty estimation', Urban Water Journal , vol. 12, no. 4, pp. 283-294. https://doi.org/10.1080/1573062X.2013.871044

APA

Nielsen, J. E., Beven, K. J., Thorndahl, S., & Rasmussen, M. R. (2015). GLUE based marine X-band weather radar data calibration and uncertainty estimation. Urban Water Journal , 12(4), 283-294. https://doi.org/10.1080/1573062X.2013.871044

Vancouver

Nielsen JE, Beven KJ, Thorndahl S, Rasmussen MR. GLUE based marine X-band weather radar data calibration and uncertainty estimation. Urban Water Journal . 2015;12(4):283-294. Epub 2014 Jan 14. doi: 10.1080/1573062X.2013.871044

Author

Nielsen, Jesper Ellerbæk ; Beven, Keith John ; Thorndahl, Søren et al. / GLUE based marine X-band weather radar data calibration and uncertainty estimation. In: Urban Water Journal . 2015 ; Vol. 12, No. 4. pp. 283-294.

Bibtex

@article{d27b7d5bf8524cd59ab4fb7775aa5e39,
title = "GLUE based marine X-band weather radar data calibration and uncertainty estimation",
abstract = "The Generalized Likelihood Uncertainty Estimation methodology (GLUE) is investigated for radar rainfall calibration and uncertainty assessment. The method is used to calibrate radar data collected by a Local Area Weather Radar (LAWR).In contrast to other LAWR data calibrations, the method combines calibration with uncertainty estimation. Instead of searching for a single set of calibration parameters, the method uses the observations to construct distributions of the calibration parameters. These parameter sets provide valuable knowledge of parameter sensitivity and the uncertainty.Two approaches are analyzed; the static calibration approach, where the LAWR is calibrated once for a long period and the dynamic approach, where the estimate is continuously adjusted based on ground observations.The analysis illustrates that the static calibration performs insufficiently, whereas the dynamic adjustment improves the performance significantly.It is found that even if the dynamic adjustment method is used the uncertainty of rainfall estimates can still be significant.",
keywords = "GLUE, X-band, weather radar data calibration, LAWR, uncertainty estimation, radar QPE",
author = "Nielsen, {Jesper Ellerb{\ae}k} and Beven, {Keith John} and S{\o}ren Thorndahl and Rasmussen, {Michael R.}",
year = "2015",
doi = "10.1080/1573062X.2013.871044",
language = "English",
volume = "12",
pages = "283--294",
journal = "Urban Water Journal ",
issn = "1573-062X",
publisher = "Taylor and Francis Ltd.",
number = "4",

}

RIS

TY - JOUR

T1 - GLUE based marine X-band weather radar data calibration and uncertainty estimation

AU - Nielsen, Jesper Ellerbæk

AU - Beven, Keith John

AU - Thorndahl, Søren

AU - Rasmussen, Michael R.

PY - 2015

Y1 - 2015

N2 - The Generalized Likelihood Uncertainty Estimation methodology (GLUE) is investigated for radar rainfall calibration and uncertainty assessment. The method is used to calibrate radar data collected by a Local Area Weather Radar (LAWR).In contrast to other LAWR data calibrations, the method combines calibration with uncertainty estimation. Instead of searching for a single set of calibration parameters, the method uses the observations to construct distributions of the calibration parameters. These parameter sets provide valuable knowledge of parameter sensitivity and the uncertainty.Two approaches are analyzed; the static calibration approach, where the LAWR is calibrated once for a long period and the dynamic approach, where the estimate is continuously adjusted based on ground observations.The analysis illustrates that the static calibration performs insufficiently, whereas the dynamic adjustment improves the performance significantly.It is found that even if the dynamic adjustment method is used the uncertainty of rainfall estimates can still be significant.

AB - The Generalized Likelihood Uncertainty Estimation methodology (GLUE) is investigated for radar rainfall calibration and uncertainty assessment. The method is used to calibrate radar data collected by a Local Area Weather Radar (LAWR).In contrast to other LAWR data calibrations, the method combines calibration with uncertainty estimation. Instead of searching for a single set of calibration parameters, the method uses the observations to construct distributions of the calibration parameters. These parameter sets provide valuable knowledge of parameter sensitivity and the uncertainty.Two approaches are analyzed; the static calibration approach, where the LAWR is calibrated once for a long period and the dynamic approach, where the estimate is continuously adjusted based on ground observations.The analysis illustrates that the static calibration performs insufficiently, whereas the dynamic adjustment improves the performance significantly.It is found that even if the dynamic adjustment method is used the uncertainty of rainfall estimates can still be significant.

KW - GLUE

KW - X-band

KW - weather radar data calibration

KW - LAWR

KW - uncertainty estimation

KW - radar QPE

U2 - 10.1080/1573062X.2013.871044

DO - 10.1080/1573062X.2013.871044

M3 - Journal article

VL - 12

SP - 283

EP - 294

JO - Urban Water Journal

JF - Urban Water Journal

SN - 1573-062X

IS - 4

ER -