Paper
8 November 2012 Modeling of tropospheric integrated water vapor content using GPS, radiosonde, radiometer, rain gauge, and surface meteorological data in a tropical region (French Polynesia)
Jonathan Serafini, Jean-Pierre Barriot, Marania Hopuare, Lydie Sichoix, Abdelali Fadil
Author Affiliations +
Abstract
The integrated precipitable water vapor (IPW) is characterized by strong spatial and temporal variability, especially over tropical regions where the troposhere is not purely in hydrostatic equilibrium (convection). As an evidence, the survey of water vapor distibution as permanently as possible is an important issue and should serve as inputs for tropical climate modelling. In this paper, we present an estimation of the IPV from ground­ ba,.sed GPS receivers, which we compare to radiosondes and microwave radiometer. The data used here were collected in the vicinity of French Polynesia University site, during eight years from 2001 to 2008. In addition, we also include the IPW calculated using Era-Interim reanalyses (ECMWF). The main purpose of this paper is to highlight precision, qualities and limitations of each method available on the Island of Tahiti. During wet periods, the radiosondes vertical profiles of water vapor show an efficient mixing of water vapor between the the boundary layer (below trade winds inversion at Tahiti) and the free troposphere. Thus the rainy event detection allows to better constrain the validity range of a model of the vertical distribution of water vapor, which is based on a pseudo-adiabatic saturated evolution of the temperature.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonathan Serafini, Jean-Pierre Barriot, Marania Hopuare, Lydie Sichoix, and Abdelali Fadil "Modeling of tropospheric integrated water vapor content using GPS, radiosonde, radiometer, rain gauge, and surface meteorological data in a tropical region (French Polynesia)", Proc. SPIE 8523, Remote Sensing of the Atmosphere, Clouds, and Precipitation IV, 852313 (8 November 2012); https://doi.org/10.1117/12.977292
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KEYWORDS
Global Positioning System

Data modeling

Atmospheric modeling

Radiometry

Integrated modeling

Meteorology

Atmospheric sensing

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