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Comparison of the Methods to Estimate Missing Values in Monthly Precipitation Data

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@article{IJASEIT2637,
   author = {Wahidah Sanusi and Wan Zawiah Wan Zin and Usman Mulbar and Muhammad Danial and Syafruddin Side},
   title = {Comparison of the Methods to Estimate Missing Values in Monthly Precipitation Data},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {7},
   number = {6},
   year = {2017},
   pages = {2168--2174},
   keywords = {correlation coefficient; missing values; normal ratio method; precipitation data; S-index},
   abstract = {

Estimation of missing data is essential in the meteorological, climatologically and hydrology analyses. This study employed the arithmetic mean method, normal ratio method, the modified normal ratio method, and correlation coefficient weighting method. The performance of these methods are then compared using correlation coefficient, the S-index, the root mean squared error and mean absolute error methods. The objective of this study is to determine the best estimation method for missing data for four precipitation stations in Makassar city. The results show that the modified usual ratio method is suitable to estimate the missing precipitation data in Makassar city. This study result could be useful information for climate research to complete the missing precipitation data, especially for rain gauge stations in Makassar city.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2637},    doi = {10.18517/ijaseit.7.6.2637} }

EndNote

%A Sanusi, Wahidah
%A Wan Zin, Wan Zawiah
%A Mulbar, Usman
%A Danial, Muhammad
%A Side, Syafruddin
%D 2017
%T Comparison of the Methods to Estimate Missing Values in Monthly Precipitation Data
%B 2017
%9 correlation coefficient; missing values; normal ratio method; precipitation data; S-index
%! Comparison of the Methods to Estimate Missing Values in Monthly Precipitation Data
%K correlation coefficient; missing values; normal ratio method; precipitation data; S-index
%X 

Estimation of missing data is essential in the meteorological, climatologically and hydrology analyses. This study employed the arithmetic mean method, normal ratio method, the modified normal ratio method, and correlation coefficient weighting method. The performance of these methods are then compared using correlation coefficient, the S-index, the root mean squared error and mean absolute error methods. The objective of this study is to determine the best estimation method for missing data for four precipitation stations in Makassar city. The results show that the modified usual ratio method is suitable to estimate the missing precipitation data in Makassar city. This study result could be useful information for climate research to complete the missing precipitation data, especially for rain gauge stations in Makassar city.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2637 %R doi:10.18517/ijaseit.7.6.2637 %J International Journal on Advanced Science, Engineering and Information Technology %V 7 %N 6 %@ 2088-5334

IEEE

Wahidah Sanusi,Wan Zawiah Wan Zin,Usman Mulbar,Muhammad Danial and Syafruddin Side,"Comparison of the Methods to Estimate Missing Values in Monthly Precipitation Data," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 6, pp. 2168-2174, 2017. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.7.6.2637.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Sanusi, Wahidah
AU  - Wan Zin, Wan Zawiah
AU  - Mulbar, Usman
AU  - Danial, Muhammad
AU  - Side, Syafruddin
PY  - 2017
TI  - Comparison of the Methods to Estimate Missing Values in Monthly Precipitation Data
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 7 (2017) No. 6
Y2  - 2017
SP  - 2168
EP  - 2174
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - correlation coefficient; missing values; normal ratio method; precipitation data; S-index
N2  - 

Estimation of missing data is essential in the meteorological, climatologically and hydrology analyses. This study employed the arithmetic mean method, normal ratio method, the modified normal ratio method, and correlation coefficient weighting method. The performance of these methods are then compared using correlation coefficient, the S-index, the root mean squared error and mean absolute error methods. The objective of this study is to determine the best estimation method for missing data for four precipitation stations in Makassar city. The results show that the modified usual ratio method is suitable to estimate the missing precipitation data in Makassar city. This study result could be useful information for climate research to complete the missing precipitation data, especially for rain gauge stations in Makassar city.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2637 DO - 10.18517/ijaseit.7.6.2637

RefWorks

RT Journal Article
ID 2637
A1 Sanusi, Wahidah
A1 Wan Zin, Wan Zawiah
A1 Mulbar, Usman
A1 Danial, Muhammad
A1 Side, Syafruddin
T1 Comparison of the Methods to Estimate Missing Values in Monthly Precipitation Data
JF International Journal on Advanced Science, Engineering and Information Technology
VO 7
IS 6
YR 2017
SP 2168
OP 2174
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 correlation coefficient; missing values; normal ratio method; precipitation data; S-index
AB 

Estimation of missing data is essential in the meteorological, climatologically and hydrology analyses. This study employed the arithmetic mean method, normal ratio method, the modified normal ratio method, and correlation coefficient weighting method. The performance of these methods are then compared using correlation coefficient, the S-index, the root mean squared error and mean absolute error methods. The objective of this study is to determine the best estimation method for missing data for four precipitation stations in Makassar city. The results show that the modified usual ratio method is suitable to estimate the missing precipitation data in Makassar city. This study result could be useful information for climate research to complete the missing precipitation data, especially for rain gauge stations in Makassar city.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2637 DO - 10.18517/ijaseit.7.6.2637