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http://hdl.handle.net/20.500.11765/7494
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 Javier; Navarro Martínez, Andrés; Moreno Galdón, Raul; Jiménez Alcázar, Alfonso; Marcos Martín, Cecilia
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| 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 |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| jhm-d-16-0127.1.pdf | 1,42 MB | Adobe PDF | ![]() Visualizar/Abrir |
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