TY - GEN
T1 - Hybrid state-space model and adjusting procedure based on Bayesian approaches for spatio-temporal rainfall disaggregation
AU - Astutik, Suci
AU - Iriawan, Nur
AU - Suhartono,
AU - Sutikno,
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Bayesian
KW - adjusting procedure
KW - rainfall
KW - spatio-temporal disaggregation
KW - state-space model
UR - http://www.scopus.com/inward/record.url?scp=84872956179&partnerID=8YFLogxK
U2 - 10.1109/ICSSBE.2012.6396520
DO - 10.1109/ICSSBE.2012.6396520
M3 - Conference contribution
AN - SCOPUS:84872956179
SN - 9781467315821
T3 - ICSSBE 2012 - Proceedings, 2012 International Conference on Statistics in Science, Business and Engineering: "Empowering Decision Making with Statistical Sciences"
SP - 24
EP - 27
BT - ICSSBE 2012 - Proceedings, 2012 International Conference on Statistics in Science, Business and Engineering
T2 - 2012 International Conference on Statistics in Science, Business and Engineering, ICSSBE 2012
Y2 - 10 September 2012 through 12 September 2012
ER -