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On the optimal measuring area for pointwise rainfall estimation: a dedicated experiment with 14 laser disdrometers
Título : On the optimal measuring area for pointwise rainfall estimation: a dedicated experiment with 14 laser disdrometers
Autor : Tapiador, Francisco J.; Navarro, A.; Moreno, R.; Jiménez Alcázar, A.; Marcos Martín, Cecilia; Tokay, A.; Durán, Luis; Bodoque, J. M.; Martín, R.; Petersen, W.; Castro, Manuel de
Palabras clave : Precipitation; In situ atmospheric observations; Remote sensing; Statistics; Sensors
Fecha de publicación : 2017
Editor: American Meteorological Society
Citación : Journal of Hydrometeorology. 2017, 18(3), p. 753-760
Versión del editor: https://dx.doi.org/10.1175/JHM-D-16-0127.1
Resumen : Laser disdrometers measure the particle size distribution (PSD) of hydrometeors through a small cross-sectional (tens of square centimeters) surface. Such a limited area induces a sampling effect in the estimates of the PSD, which translates to error in the reflectivity–rain-rate (Z–R) relationship used for ground radar estimates of rainfall, estimates of kinetic energy of precipitation, and any other hydrometeorological application relying on particle size information. Here, the results of a dedicated experiment to estimate the extent of the effect of limited area sampling of rainfall are presented. Using 14 Parsivel, version 1 (Parsivel-1), disdrometers placed within 6 m2, it was found that the combined area of at least seven disdrometers is required for the estimates to start converging to a stable value. The results can be used to quantify the degree of over-/underestimation of precipitation parameters for a single instrument due to the limited collecting area effect. It has been found that a single disdrometer may underestimate instantaneous rain rate by 70%.
Patrocinador: Funding from projects CGL2013- 48367-P, CGL2016-80609-R (Ministerio de Economía y Competitividad), UNCM08-1E-086 (Ministerio de Ciencia e Innovacion), and CYTEMA (UCLM) is gratefully acknowledged.
URI : http://hdl.handle.net/20.500.11765/7494
ISSN : 1525-755X
1525-7541
Colecciones: Artículos científicos 2015-2018


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