Rainfall Reflectivity Relationship For Rainfall Nowcasting In Northern Region Of Peninsular Malaysia

Short term rainfall forecasting is one of the most crucial forecasting tasks in meteorology. The success of rainfall forecasting depend upon many factors such as, experience of forecaster, the capability of radar hardware and the parameter conversion between reflectivity (Z) and rainfall rate (R), c...

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Main Author:	Wahab, Mahyun Ab
Format:	Thesis
Language:	English
Published:	2017
Subjects:	T Technology
Online Access:	http://eprints.usm.my/45900/1/Rainfall%20Reflectivity%20Relationship%20For%20Rainfall%20Nowcasting%20In%20Northern%20Region%20Of%20Peninsular%20Malaysia.pdf
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spelling	my-usm-ep.459002021-11-17T03:42:16Z Rainfall Reflectivity Relationship For Rainfall Nowcasting In Northern Region Of Peninsular Malaysia 2017-05-01 Wahab, Mahyun Ab T Technology TA1-2040 Engineering (General). Civil engineering (General) Short term rainfall forecasting is one of the most crucial forecasting tasks in meteorology. The success of rainfall forecasting depend upon many factors such as, experience of forecaster, the capability of radar hardware and the parameter conversion between reflectivity (Z) and rainfall rate (R), called the Z-R relationship (Z=ARb). Using the optimization technique, new Z-R relationship parameter for Alor Star Radar was derived. Sensitivity analysis was conducted to ease the calibration process. Calibration and validation process were performed between rainfall radar and gauge data to get the best parameter of A and exponential b. Short term rainfall forecasting was conducted using cross correlation technique to find the speed and direction of rainfall. Then, persistence forecast using linear extrapolation applied to forecast the next storm with the assumption there are no growth and decay of rainfall. The new Z-R relationship parameter for Alor Star Radar was determined to be Z = 40R1.6. Four statistical analyses were performed and it was found that the Mean Error (ME), Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Coefficient of Determination (R²) value within the acceptable statistical indicators with the values of 1.77, 2.19, 3.11, and 0.90 respectively. Short term rainfall forecasting shows an acceptable result for 10 and 30 minutes lead time according to Nash and Sutcliffe Coefficient of Efficiency with the value is 0.86 and 0.48 respectively. As a conclusion, persistence forecast is suitable to forecast short term rainfall while Z-R relationship parameter value is an important input to the successfulness of rainfall forecasting by radar. 2017-05 Thesis http://eprints.usm.my/45900/ http://eprints.usm.my/45900/1/Rainfall%20Reflectivity%20Relationship%20For%20Rainfall%20Nowcasting%20In%20Northern%20Region%20Of%20Peninsular%20Malaysia.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Awam
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	T Technology T Technology
spellingShingle	T Technology T Technology Wahab, Mahyun Ab Rainfall Reflectivity Relationship For Rainfall Nowcasting In Northern Region Of Peninsular Malaysia
description	Short term rainfall forecasting is one of the most crucial forecasting tasks in meteorology. The success of rainfall forecasting depend upon many factors such as, experience of forecaster, the capability of radar hardware and the parameter conversion between reflectivity (Z) and rainfall rate (R), called the Z-R relationship (Z=ARb). Using the optimization technique, new Z-R relationship parameter for Alor Star Radar was derived. Sensitivity analysis was conducted to ease the calibration process. Calibration and validation process were performed between rainfall radar and gauge data to get the best parameter of A and exponential b. Short term rainfall forecasting was conducted using cross correlation technique to find the speed and direction of rainfall. Then, persistence forecast using linear extrapolation applied to forecast the next storm with the assumption there are no growth and decay of rainfall. The new Z-R relationship parameter for Alor Star Radar was determined to be Z = 40R1.6. Four statistical analyses were performed and it was found that the Mean Error (ME), Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Coefficient of Determination (R²) value within the acceptable statistical indicators with the values of 1.77, 2.19, 3.11, and 0.90 respectively. Short term rainfall forecasting shows an acceptable result for 10 and 30 minutes lead time according to Nash and Sutcliffe Coefficient of Efficiency with the value is 0.86 and 0.48 respectively. As a conclusion, persistence forecast is suitable to forecast short term rainfall while Z-R relationship parameter value is an important input to the successfulness of rainfall forecasting by radar.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Wahab, Mahyun Ab
author_facet	Wahab, Mahyun Ab
author_sort	Wahab, Mahyun Ab
title	Rainfall Reflectivity Relationship For Rainfall Nowcasting In Northern Region Of Peninsular Malaysia
title_short	Rainfall Reflectivity Relationship For Rainfall Nowcasting In Northern Region Of Peninsular Malaysia
title_full	Rainfall Reflectivity Relationship For Rainfall Nowcasting In Northern Region Of Peninsular Malaysia
title_fullStr	Rainfall Reflectivity Relationship For Rainfall Nowcasting In Northern Region Of Peninsular Malaysia
title_full_unstemmed	Rainfall Reflectivity Relationship For Rainfall Nowcasting In Northern Region Of Peninsular Malaysia
title_sort	rainfall reflectivity relationship for rainfall nowcasting in northern region of peninsular malaysia
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Awam
publishDate	2017
url	http://eprints.usm.my/45900/1/Rainfall%20Reflectivity%20Relationship%20For%20Rainfall%20Nowcasting%20In%20Northern%20Region%20Of%20Peninsular%20Malaysia.pdf
_version_	1747821586465947648

Rainfall Reflectivity Relationship For Rainfall Nowcasting In Northern Region Of Peninsular Malaysia

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