다중 지표수문해석 모형을 이용한 토양수분 예측 및 가뭄 평가

  • 김종건 (강원대학교 농업생명과학연구원)
  • 발행 : 2016.11.30

초록

키워드

참고문헌

  1. Ek, M., Y. Xia, E. F. Wood, J. Sheffield, B. Cosgrove, and K. Mo, 2011, The North American Land Data Assimilation System: Application to Drought over CONUS, AGU, Fall Meet., Abstract GC31A-1015.
  2. Hsu, K. L., H. Moradkhani, and S. Sorooshian, 2009, A sequential Bayesian approach for hydrologic model selection and prediction, Water Resour. Res., 45, W00B12, doi:10.1029/2008WR006824.
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  4. Raftery, A. E., T. Gneiting, F. Balabdaoui, and M. Polakowski, 2005, Using Bayesian model averaging to calibrate forecast ensembles, Mon. Weather Rev., 133:1155-1174. https://doi.org/10.1175/MWR2906.1
  5. Ajami, N. K., Q. Y. Duan, and S. Sorooshian, 2007, An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction, Water Resour. Res., 43, W01403, doi:10.1029/2005WR004745.
  6. Kim, J, B. P. Mohanty, Y. Shin, 2015 Effective Soil Moisture Estimate and its Uncertainty using Multi-Model Simulation based on Bayesian Model Averaging, J. Geophys. Res. Atmos., 120, doi:10.1002/2014JD022905.
  7. 손경환, 배덕효, 정준석, 2011, 지표수문해석모형을 활용한 국내 가뭄해석 적용성 평가, 한국수자원학회, 44(8):667-681.
  8. 유철상, 1998, 지표면 조건의 변화에 따른 토양수분의 변화 평가, 한국수자원학회, 31(6):798-806.