Abstract

Disaggregation is the transforming process from highlevel scale data into low-level which preserves the consistency of the high-level statistic characteristics. This process, considering the dependence between spatial and temporal, is known as the spatio-temporal disaggregation. In general, this method is divided into two stages, namely the data modeling and preserving of consistency the high level scale statistic characteristics. This study proposes a hybrid model that combines a state-space model and adjusting procedure to disaggregate spatio-temporal rainfall through Bayesian approach using WinBUGS. The results show that the generated hourly rainfall data are consistent with the observed daily rainfall data at some locations which have only the daily rainfall data in the watershed Sampean, Bondowoso, Indonesia.

Original languageEnglish
Title of host publicationICSSBE 2012 - Proceedings, 2012 International Conference on Statistics in Science, Business and Engineering
Subtitle of host publication"Empowering Decision Making with Statistical Sciences"
Pages24-27
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 International Conference on Statistics in Science, Business and Engineering, ICSSBE 2012 - Langkawi, Kedah, Malaysia
Duration: 10 Sept 201212 Sept 2012

Publication series

NameICSSBE 2012 - Proceedings, 2012 International Conference on Statistics in Science, Business and Engineering: "Empowering Decision Making with Statistical Sciences"

Conference

Conference2012 International Conference on Statistics in Science, Business and Engineering, ICSSBE 2012
Country/TerritoryMalaysia
CityLangkawi, Kedah
Period10/09/1212/09/12

Keywords

  • Bayesian
  • adjusting procedure
  • rainfall
  • spatio-temporal disaggregation
  • state-space model

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