Stochastic simulation of daily precipitation: A copula approach
- Authors
- 최창휘; 고방원
- Issue Date
- Jan-2014
- Publisher
- 한국데이터정보과학회
- Keywords
- Copula; daily precipitation simulation; gamma distribution; Markov chain
- Citation
- 한국데이터정보과학회지, v.25, no.1, pp.245 - 254
- Journal Title
- 한국데이터정보과학회지
- Volume
- 25
- Number
- 1
- Start Page
- 245
- End Page
- 254
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/10309
- DOI
- 10.7465/jkdi.2014.25.1.245
- ISSN
- 1598-9402
- Abstract
- The traditional methods of simulating daily precipitation have paid little attention to the inherent dependence structure between the total precipitation amount and the precipitation frequency for a fixed period of time. To address this issue, we propose a new simulation algorithm using copula in order to incorporate the dependence into the traditional methods. The algorithm consists of two parts: First, while reecting the observed dependence, we generate the total precipitation amount (S) and the frequency(N) during the period of interest; then we simulate the daily precipitation whose aggregation matches the pair of (N; S) generated in the first part. Our result shows that the proposed method substantially improves the traditional methods.
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