Evaluation of rain cell models using Indonesian meteorological radar data

Frequencies above 10 GHz are strongly affected by attenuation phenomena due to atmospheric impairments, among which rain plays the dominant role. Horizontal structure of rain fields is very complex due to its high space-time variability. Considering modelled cells which are described by a small numb...

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Main Author: Saputri, Reny
Format: Thesis
Language:English
Published: 2015
Subjects:
Online Access:http://eprints.utm.my/id/eprint/53573/1/RenySaputriMFKE2015.pdf
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spelling my.utm.535732020-07-21T04:08:57Z http://eprints.utm.my/id/eprint/53573/ Evaluation of rain cell models using Indonesian meteorological radar data Saputri, Reny TK Electrical engineering. Electronics Nuclear engineering Frequencies above 10 GHz are strongly affected by attenuation phenomena due to atmospheric impairments, among which rain plays the dominant role. Horizontal structure of rain fields is very complex due to its high space-time variability. Considering modelled cells which are described by a small number of parameters that would allow reduced computing time, storage problems, and multiply the system simulations to optimally define the system parameters. Radar image with range bin pixel up to 200 m, 0.5 degrees of elevation angle and about 100 km from radar site. Peak of rain intensity and the distances along elliptic shape of rain cells can obtained and also each model parameters. The EXCELL and HYCELL model has been fitted and compared to every rain cell. The result shows HYCELL model has good performance than EXCELL model. 2015-06 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/53573/1/RenySaputriMFKE2015.pdf Saputri, Reny (2015) Evaluation of rain cell models using Indonesian meteorological radar data. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:84070
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Saputri, Reny
Evaluation of rain cell models using Indonesian meteorological radar data
description Frequencies above 10 GHz are strongly affected by attenuation phenomena due to atmospheric impairments, among which rain plays the dominant role. Horizontal structure of rain fields is very complex due to its high space-time variability. Considering modelled cells which are described by a small number of parameters that would allow reduced computing time, storage problems, and multiply the system simulations to optimally define the system parameters. Radar image with range bin pixel up to 200 m, 0.5 degrees of elevation angle and about 100 km from radar site. Peak of rain intensity and the distances along elliptic shape of rain cells can obtained and also each model parameters. The EXCELL and HYCELL model has been fitted and compared to every rain cell. The result shows HYCELL model has good performance than EXCELL model.
format Thesis
author Saputri, Reny
author_facet Saputri, Reny
author_sort Saputri, Reny
title Evaluation of rain cell models using Indonesian meteorological radar data
title_short Evaluation of rain cell models using Indonesian meteorological radar data
title_full Evaluation of rain cell models using Indonesian meteorological radar data
title_fullStr Evaluation of rain cell models using Indonesian meteorological radar data
title_full_unstemmed Evaluation of rain cell models using Indonesian meteorological radar data
title_sort evaluation of rain cell models using indonesian meteorological radar data
publishDate 2015
url http://eprints.utm.my/id/eprint/53573/1/RenySaputriMFKE2015.pdf
http://eprints.utm.my/id/eprint/53573/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:84070
_version_ 1674066182398803968
score 13.211869