DocumentCode
180594
Title
Tomographic techniques for the retrieval of tropospheric water vapour fields by using co-rotating LEO satellites
Author
Lapini, A. ; Cuccoli, F. ; Argenti, Fabrizio ; Facheris, L.
Author_Institution
Sch. of Eng., Dept. of Inf. Eng., Consorzio Naz. Interuniv. per le Telecomun. (CNIT), Univ. of Florence, Florence, Italy
fYear
2014
fDate
4-9 May 2014
Firstpage
8124
Lastpage
8128
Abstract
This paper presents a study for the estimation of 2-D maps of atmospheric water vapour content from integrated water vapour measurements carried out by a constellation of co-rotating low earth orbit satellites. The proposed method uses the normalised differential spectral attenuation (NDSA) approach - able to achieve integrated water vapour content information from attenuation measurements over microwave links among the satellites - and tomographic techniques to solve the inverse problem of atmospheric water vapour field reconstruction. Simulation results demonstrate the feasibility of the proposed approach to retrieve a 2-D map of the atmospheric water vapour content. This study has been developed under the framework of the ANISAP project funded by the European Space Agency.
Keywords
atmospheric humidity; atmospheric techniques; remote sensing; troposphere; ANISAP project; European Space Agency; atmospheric water vapour content; co-rotating LEO satellites; integrated water vapour content information; low Earth orbit; normalised differential spectral attenuation approach; tomographic techniques; tropospheric water vapour fields; water vapour measurements; Atmospheric measurements; Atmospheric modeling; Attenuation; Attenuation measurement; Extraterrestrial measurements; Low earth orbit satellites; Tropospheric water vapour content estimation; co-rotating LEO satellites; inverse problems; normalised differential spectral attenuation (NDSA); tomography;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location
Florence
Type
conf
DOI
10.1109/ICASSP.2014.6855184
Filename
6855184
Link To Document