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WRF model input for improved radar rainfall estimates using kalman filter

The indirect measurement of rain through radar reflectivity is associated with various sources of errors such as ground clutter, partial beam occultation, beam blockage and attenuation effects. Removing the systematic error (bias) and enhancing the precision and limitations of radar data sources ar...

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Main Authors: Wardah, T., Sharifah Nurul Huda, Y.S., Suzana, R., Hamzah, A.
Format: Conference or Workshop Item
Language:English
Published: 2014
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.um.edu.my/13140/1/WRF_Model_Input_for_Improved_Radar.pdf
http://eprints.um.edu.my/13140/
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spelling my.um.eprints.131402015-03-31T00:55:35Z http://eprints.um.edu.my/13140/ WRF model input for improved radar rainfall estimates using kalman filter Wardah, T. Sharifah Nurul Huda, Y.S. Suzana, R. Hamzah, A. TA Engineering (General). Civil engineering (General) The indirect measurement of rain through radar reflectivity is associated with various sources of errors such as ground clutter, partial beam occultation, beam blockage and attenuation effects. Removing the systematic error (bias) and enhancing the precision and limitations of radar data sources are the main focus in enhancing radar rainfall accuracy. This research work was to reduce radar rainfall bias due to the process and measurement noises using Kalman Filter with a multivariate analysis technique. The implementation of this technique involved numerical weather prediction (NWP) namely the Weather Research Forecasting (WRF) model data output parameters such as temperature and relative humidity. The study found that filtering technique using Kalman Filter with multivariate analysis applying the WRF model output has satisfactorily improve radar rainfall estimates. 2014-05 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/13140/1/WRF_Model_Input_for_Improved_Radar.pdf Wardah, T. and Sharifah Nurul Huda, Y.S. and Suzana, R. and Hamzah, A. (2014) WRF model input for improved radar rainfall estimates using kalman filter. In: 2014 International Symposium on Technology Management and Emerging Technologies (ISTMET 2014), 27-29 May 2014, Bandung, Indonesia.
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Wardah, T.
Sharifah Nurul Huda, Y.S.
Suzana, R.
Hamzah, A.
WRF model input for improved radar rainfall estimates using kalman filter
description The indirect measurement of rain through radar reflectivity is associated with various sources of errors such as ground clutter, partial beam occultation, beam blockage and attenuation effects. Removing the systematic error (bias) and enhancing the precision and limitations of radar data sources are the main focus in enhancing radar rainfall accuracy. This research work was to reduce radar rainfall bias due to the process and measurement noises using Kalman Filter with a multivariate analysis technique. The implementation of this technique involved numerical weather prediction (NWP) namely the Weather Research Forecasting (WRF) model data output parameters such as temperature and relative humidity. The study found that filtering technique using Kalman Filter with multivariate analysis applying the WRF model output has satisfactorily improve radar rainfall estimates.
format Conference or Workshop Item
author Wardah, T.
Sharifah Nurul Huda, Y.S.
Suzana, R.
Hamzah, A.
author_facet Wardah, T.
Sharifah Nurul Huda, Y.S.
Suzana, R.
Hamzah, A.
author_sort Wardah, T.
title WRF model input for improved radar rainfall estimates using kalman filter
title_short WRF model input for improved radar rainfall estimates using kalman filter
title_full WRF model input for improved radar rainfall estimates using kalman filter
title_fullStr WRF model input for improved radar rainfall estimates using kalman filter
title_full_unstemmed WRF model input for improved radar rainfall estimates using kalman filter
title_sort wrf model input for improved radar rainfall estimates using kalman filter
publishDate 2014
url http://eprints.um.edu.my/13140/1/WRF_Model_Input_for_Improved_Radar.pdf
http://eprints.um.edu.my/13140/
_version_ 1643689473188298752
score 13.244745

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