A Bayesian Network-Based Probabilistic Framework for Drought Forecasting and Outlook
Joint Authors
Kim, Tae-Woong
Shin, Ji Yae
Ajmal, Muhammad
Yoo, Jiyoung
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-10
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Reliable drought forecasting is necessary to develop mitigation plans to cope with severe drought.
This study developed a probabilistic scheme for drought forecasting and outlook combined with quantification of the prediction uncertainties.
The Bayesian network was mainly employed as a statistical scheme for probabilistic forecasting that can represent the cause-effect relationships between the variables.
The structure of the Bayesian network-based drought forecasting (BNDF) model was designed using the past, current, and forecasted drought condition.
In this study, the drought conditions were represented by the standardized precipitation index (SPI).
The accuracy of forecasted SPIs was assessed by comparing the observed SPIs and confidence intervals (CIs), exhibiting the associated uncertainty.
Then, this study suggested the drought outlook framework based on probabilistic drought forecasting results.
The overall results provided sufficient agreement between the observed and forecasted drought conditions in the outlook framework.
American Psychological Association (APA)
Shin, Ji Yae& Ajmal, Muhammad& Yoo, Jiyoung& Kim, Tae-Woong. 2016. A Bayesian Network-Based Probabilistic Framework for Drought Forecasting and Outlook. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1095727
Modern Language Association (MLA)
Shin, Ji Yae…[et al.]. A Bayesian Network-Based Probabilistic Framework for Drought Forecasting and Outlook. Advances in Meteorology No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1095727
American Medical Association (AMA)
Shin, Ji Yae& Ajmal, Muhammad& Yoo, Jiyoung& Kim, Tae-Woong. A Bayesian Network-Based Probabilistic Framework for Drought Forecasting and Outlook. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1095727
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095727