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Rain pattern analysis and forecast model based on GPS estimated atmospheric water vapor content

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Rain pattern analysis and forecast model based on GPS estimated atmospheric water vapor content

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Priego De Los Santos, E. (2012). Rain pattern analysis and forecast model based on GPS estimated atmospheric water vapor content. Atmospheric Environment. 49:85-93. doi:10.1016/j.atmosenv.2011.12.019

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/57310

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Title: Rain pattern analysis and forecast model based on GPS estimated atmospheric water vapor content
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria
Issued date:
Abstract:
Rain is one of the fundamental processes of the hydrologic cycle as it can be the source of wealth or natural hazards. This experiment focuses in the relationship between rain occurrence and atmospheric pressure (Patm) and ...[+]
Subjects: Forecast model , GPS , Meteorology , Rain , Water vapor , Atmospheric water vapor , Natural hazard , Precipitation
Copyrigths: Reserva de todos los derechos
Source:
Atmospheric Environment. (issn: 1352-2310 )
DOI: 10.1016/j.atmosenv.2011.12.019
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.atmosenv.2011.12.019
Type: Artículo

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