Revised spatial weighting methods for estimation of missing rainfall data

Jamaludin Suhaila, Mohd Deni Sayang, Abdul Aziz Jemain

Research output: Contribution to journalArticle

42 Citations (Scopus)

Abstract

A complete daily rainfall dataset with no missing values is highly in demand for a variety of meteorological and hydrological purposes. In most situations, spatial interpolation techniques such as normal ratio and inverse distance methods are used for estimating missing rainfall values at a particular target station based on the available rainfall values recorded at the neighboring stations. Moreover, these two methods are found to be very useful in the case where the neighboring-stations are very close and highly correlated with the target stations. In this study, several modifications and improvements have been proposed to these methods in order to estimate the missing rainfall values at the target station using the information from the nearby stations. The methods have been tested with different percentages of missing rainfall values and also with a radius range of 75 km to 200 km. The result indicate that the performance of these modified methods improved the estimation of missing rainfall values at the target station based on the similarity index (S-index), mean absolute error (MAE) and coefficient of correlation (R).

Original languageEnglish
Pages (from-to)93-104
Number of pages12
JournalAsia-Pacific Journal of Atmospheric Sciences
Volume44
Issue number2
Publication statusPublished - 2008

Fingerprint

rainfall
similarity index
station
method
interpolation

Keywords

  • Inverse distance
  • Missing rainfall data
  • Normal ratio
  • Similarity index
  • Spatial interpolation

ASJC Scopus subject areas

  • Atmospheric Science

Cite this

Revised spatial weighting methods for estimation of missing rainfall data. / Suhaila, Jamaludin; Sayang, Mohd Deni; Jemain, Abdul Aziz.

In: Asia-Pacific Journal of Atmospheric Sciences, Vol. 44, No. 2, 2008, p. 93-104.

Research output: Contribution to journalArticle

Suhaila, Jamaludin ; Sayang, Mohd Deni ; Jemain, Abdul Aziz. / Revised spatial weighting methods for estimation of missing rainfall data. In: Asia-Pacific Journal of Atmospheric Sciences. 2008 ; Vol. 44, No. 2. pp. 93-104.
@article{fe017be842b449588a655d4d893c416a,
title = "Revised spatial weighting methods for estimation of missing rainfall data",
abstract = "A complete daily rainfall dataset with no missing values is highly in demand for a variety of meteorological and hydrological purposes. In most situations, spatial interpolation techniques such as normal ratio and inverse distance methods are used for estimating missing rainfall values at a particular target station based on the available rainfall values recorded at the neighboring stations. Moreover, these two methods are found to be very useful in the case where the neighboring-stations are very close and highly correlated with the target stations. In this study, several modifications and improvements have been proposed to these methods in order to estimate the missing rainfall values at the target station using the information from the nearby stations. The methods have been tested with different percentages of missing rainfall values and also with a radius range of 75 km to 200 km. The result indicate that the performance of these modified methods improved the estimation of missing rainfall values at the target station based on the similarity index (S-index), mean absolute error (MAE) and coefficient of correlation (R).",
keywords = "Inverse distance, Missing rainfall data, Normal ratio, Similarity index, Spatial interpolation",
author = "Jamaludin Suhaila and Sayang, {Mohd Deni} and Jemain, {Abdul Aziz}",
year = "2008",
language = "English",
volume = "44",
pages = "93--104",
journal = "Asia-Pacific Journal of Atmospheric Sciences",
issn = "1976-7633",
publisher = "Korean Meteorological Society",
number = "2",

}

TY - JOUR

T1 - Revised spatial weighting methods for estimation of missing rainfall data

AU - Suhaila, Jamaludin

AU - Sayang, Mohd Deni

AU - Jemain, Abdul Aziz

PY - 2008

Y1 - 2008

N2 - A complete daily rainfall dataset with no missing values is highly in demand for a variety of meteorological and hydrological purposes. In most situations, spatial interpolation techniques such as normal ratio and inverse distance methods are used for estimating missing rainfall values at a particular target station based on the available rainfall values recorded at the neighboring stations. Moreover, these two methods are found to be very useful in the case where the neighboring-stations are very close and highly correlated with the target stations. In this study, several modifications and improvements have been proposed to these methods in order to estimate the missing rainfall values at the target station using the information from the nearby stations. The methods have been tested with different percentages of missing rainfall values and also with a radius range of 75 km to 200 km. The result indicate that the performance of these modified methods improved the estimation of missing rainfall values at the target station based on the similarity index (S-index), mean absolute error (MAE) and coefficient of correlation (R).

AB - A complete daily rainfall dataset with no missing values is highly in demand for a variety of meteorological and hydrological purposes. In most situations, spatial interpolation techniques such as normal ratio and inverse distance methods are used for estimating missing rainfall values at a particular target station based on the available rainfall values recorded at the neighboring stations. Moreover, these two methods are found to be very useful in the case where the neighboring-stations are very close and highly correlated with the target stations. In this study, several modifications and improvements have been proposed to these methods in order to estimate the missing rainfall values at the target station using the information from the nearby stations. The methods have been tested with different percentages of missing rainfall values and also with a radius range of 75 km to 200 km. The result indicate that the performance of these modified methods improved the estimation of missing rainfall values at the target station based on the similarity index (S-index), mean absolute error (MAE) and coefficient of correlation (R).

KW - Inverse distance

KW - Missing rainfall data

KW - Normal ratio

KW - Similarity index

KW - Spatial interpolation

UR - http://www.scopus.com/inward/record.url?scp=44949114283&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=44949114283&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:44949114283

VL - 44

SP - 93

EP - 104

JO - Asia-Pacific Journal of Atmospheric Sciences

JF - Asia-Pacific Journal of Atmospheric Sciences

SN - 1976-7633

IS - 2

ER -