Conference paper
Estimation of missing rainfall data in northeast region of Thailand using kriging methods: A comparison study
International Workshop on Bio-inspired Computing for Intelligent, Environments and Logistic Systems (Canberra, Australia, 03/2011)
2011
Abstract
Ground-based rainfall observations are the primary sources of precipitation data used in most developing countries. However, those observations are frequently damaged or incomplete, thus missing data is always a problem. This comparison study examines a number of kriging methods used to estimate missing monthly rainfall data in the northeast region of Thailand. It was found that the characteristics of the datasets have significant effect on the estimation performance. This study recommends using the kurtosis value of observations’ histogram and nugget-sill ratio of fitted semivariogram models as a guideline to select between ordinary kriging and universal kriging methods. Since the study area is a large plateau, in which there is low correlation between rainfall and altitude, ordinary co-kriging method cannot make use of the altitude as a supplementary feature to improve the estimation performance.
Details
- Title
- Estimation of missing rainfall data in northeast region of Thailand using kriging methods: A comparison study
- Authors/Creators
- J. Kajornrit (Author/Creator)K.W. Wong (Author/Creator)C.C. Fung (Author/Creator)
- Conference
- International Workshop on Bio-inspired Computing for Intelligent, Environments and Logistic Systems (Canberra, Australia, 03/2011)
- Identifiers
- 991005543367107891
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Conference paper
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