Spatial interpolation of advanced weather generator parameters in Peninsular Malaysia using locally weighted regression
Having insufficient climate data is a critical problem in hydrological studies. Spatial interpolation methods were widely used to overcome the missing data problem. Previously, Advanced Weather Generator (AWE-GEN) parameters are only fitted for the specific rainfall stations at which meteorological...
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my.iium.irep.528442016-12-01T02:35:56Z http://irep.iium.edu.my/52844/ Spatial interpolation of advanced weather generator parameters in Peninsular Malaysia using locally weighted regression Abdul Halim, Syafrina Mohd Daud, Zalina GE Environmental Sciences HA Statistics QA76 Computer software Having insufficient climate data is a critical problem in hydrological studies. Spatial interpolation methods were widely used to overcome the missing data problem. Previously, Advanced Weather Generator (AWE-GEN) parameters are only fitted for the specific rainfall stations at which meteorological observations exist. The spatial variability of AWE-GEN parameters are examined to overcome the problem of inadequate rainfall data at remote stations. The rainfall parameters estimated in AWE-GEN are interpolated using Locally Weighted Regression (LWR) model. This model was validated by comparing the observed and the interpolated parameters produced monthly. Results show that all rainfall parameters are well produced except for α and μ_c. The monthly statistics at different aggregation periods (i.e. 1, 24 and 48 hours) are also tested. The mean and variance are reproduced very closely to the observed mean and variance with the exception of the month of June. The lag-1 autocorrelation, the skewness, probability of no rainfall and the transition probability from a wet spells seem to be well reproduced at all aggregation periods. Generally, LWR is able to produce commendable result on rainfall simulation for ungauged sites in Peninsular Malaysia. 2016 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/52844/1/ICMNS%202016.pdf Abdul Halim, Syafrina and Mohd Daud, Zalina (2016) Spatial interpolation of advanced weather generator parameters in Peninsular Malaysia using locally weighted regression. In: The 6th International Conference on Mathematics and Natural Sciences (ICMNS 2016), 2nd-3rd November 2016, Bandung, Indonesia. (Unpublished) http://www.chem.itb.ac.id/icmns/ |
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GE Environmental Sciences HA Statistics QA76 Computer software Abdul Halim, Syafrina Mohd Daud, Zalina Spatial interpolation of advanced weather generator parameters in Peninsular Malaysia using locally weighted regression |
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Having insufficient climate data is a critical problem in hydrological studies. Spatial interpolation methods were widely used to overcome the missing data problem. Previously, Advanced Weather Generator (AWE-GEN) parameters are only fitted for the specific rainfall stations at which meteorological observations exist. The spatial variability of AWE-GEN parameters are examined to overcome the problem of inadequate rainfall data at remote stations. The rainfall parameters estimated in AWE-GEN are interpolated using Locally Weighted Regression (LWR) model. This model was validated by comparing the observed and the interpolated parameters produced monthly. Results show that all rainfall parameters are well produced except for α and μ_c. The monthly statistics at different aggregation periods (i.e. 1, 24 and 48 hours) are also tested. The mean and variance are reproduced very closely to the observed mean and variance with the exception of the month of June. The lag-1 autocorrelation, the skewness, probability of no rainfall and the transition probability from a wet spells seem to be well reproduced at all aggregation periods. Generally, LWR is able to produce commendable result on rainfall simulation for ungauged sites in Peninsular Malaysia. |
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Conference or Workshop Item |
author |
Abdul Halim, Syafrina Mohd Daud, Zalina |
author_facet |
Abdul Halim, Syafrina Mohd Daud, Zalina |
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Abdul Halim, Syafrina |
title |
Spatial interpolation of advanced weather generator parameters in Peninsular Malaysia using locally weighted regression |
title_short |
Spatial interpolation of advanced weather generator parameters in Peninsular Malaysia using locally weighted regression |
title_full |
Spatial interpolation of advanced weather generator parameters in Peninsular Malaysia using locally weighted regression |
title_fullStr |
Spatial interpolation of advanced weather generator parameters in Peninsular Malaysia using locally weighted regression |
title_full_unstemmed |
Spatial interpolation of advanced weather generator parameters in Peninsular Malaysia using locally weighted regression |
title_sort |
spatial interpolation of advanced weather generator parameters in peninsular malaysia using locally weighted regression |
publishDate |
2016 |
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http://irep.iium.edu.my/52844/1/ICMNS%202016.pdf http://irep.iium.edu.my/52844/ http://www.chem.itb.ac.id/icmns/ |
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