WRF model input for improved radar rainfall estimates using Kalman Filter

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 are...

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Bibliographic Details
Published in:ISTMET 2014 - 1st International Symposium on Technology Management and Emerging Technologies, Proceedings
Main Author: Wardah T.; Huda S.Y.S.N.; Suzana R.; Hamzah A.; Maisarah W.W.I.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84912140434&doi=10.1109%2fISTMET.2014.6936527&partnerID=40&md5=bceaab48f4ac401a788ce8b61cdb0994

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-84912140434&doi=10.1109%2fISTMET.2014.6936527&partnerID=40&md5=bceaab48f4ac401a788ce8b61cdb0994

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