Uncertainty Model For Quantitative Precipitation Estimation Using Weather Radars

  • Gomez Vargas E
  • Obregon Neira N
  • Alvarez Pomar L
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Abstract

Some of the authors of this publication are also working on these related projects: La incertidumbre de la calidad en la planificación de cultivos. View project MODELAMIENTO Y MANEJO DE LAS INTERACCIONES ENTRE LA HIDROLOGÍA, LA ECOLOGÍA Y LA ECONOMÍA EN UNA CUENCA HIDROGRÁFICA PARA LA ESTIMACIÓN DE CAUDALES AMBIENTALES. View project Nelson Obregón-Neira Pontificia Universidad JaverianaAbstract-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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Gomez Vargas, E., Obregon Neira, N., & Alvarez Pomar, L. (2016). Uncertainty Model For Quantitative Precipitation Estimation Using Weather Radars. International Journal of Interactive Multimedia and Artificial Intelligence, 3(7), 54. https://doi.org/10.9781/ijimai.2016.378

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