Error in the sampling area of an optical disdrometer: consequences in computing rain variables.
The aim of this study is to improve the estimation of the characteristic uncertainties of optic disdrometers in an attempt to calculate the efficient sampling area according to the size of the drop and to study how this influences the computation of other parameters, taking into account that the rea...
| Publicado en: | Scientific World Journal pp. 369450 - 369451 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104165286&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104165286 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1537744X 1BX5 jtl: Scientific World Journal issn: 1537744X maglogo: N pubinfo: dt: 2013 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104165286 NLM23844393 2012242206 10.1155/2013/369450 NLM23844393 PMC3691934 104165286 ppf: 369450 ppct: 1 formats: tig: atl: Error in the sampling area of an optical disdrometer: consequences in computing rain variables. aug: au: Fraile, R Castro, A Fernández-Raga, M Palencia, C Calvo, A I affil: Department of Physics, IMARENAB, University of León, 24071 León, Spain. sug: subj: Physics Equipment and Supplies Equipment and Supplies Rain Water Analysis Data Analysis, Statistical Equipment Design Equipment Failure Sample Size ab: The aim of this study is to improve the estimation of the characteristic uncertainties of optic disdrometers in an attempt to calculate the efficient sampling area according to the size of the drop and to study how this influences the computation of other parameters, taking into account that the real sampling area is always smaller than the nominal area. For large raindrops (a little over 6 mm), the effective sampling area may be half the area indicated by the manufacturer. The error committed in the sampling area is propagated to all the variables depending on this surface, such as the rain intensity and the reflectivity factor. Both variables tend to underestimate the real value if the sampling area is not corrected. For example, the rainfall intensity errors may be up to 50% for large drops, those slightly larger than 6 mm. The same occurs with reflectivity values, which may be up to twice the reflectivity calculated using the uncorrected constant sampling area. The Z-R relationships appear to have little dependence on the sampling area, because both variables depend on it the same way. These results were obtained by studying one particular rain event that occurred on April 16, 2006. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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