A Bayesian hierarchical model framework to quantify uncertainty of tropical cyclone precipitation forecasts
Author:
Affiliation:
1. Department of Statistics, Virginia Tech
2. Department of Geography, Virginia Tech
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability
Reference49 articles.
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2. LANDSEA, C. W. and FRANKLIN, J. L. (2013). Atlantic hurricane database uncertainty and presentation of a new database format. Mon. Weather Rev. 141 3576–3592.
3. ACCADIA, C., MARIANI, S., CASAIOLI, M., LAVAGNINI, A. and SPERANZA, A. (2003). Sensitivity of precipitation forecast skill scores to bilinear interpolation and a simple nearest-neighbor average method on high-resolution verification grids. Weather Forecast. 18 918–932.
4. BANNISTER, R. (2017). A review of operational methods of variational and ensemble-variational data assimilation. Q. J. R. Meteorol. Soc. 143 607–633.
5. BERROCAL, V. J., RAFTERY, A. E. and GNEITING, T. (2007). Combining spatial statistical and ensemble information in probabilistic weather forecasts. Mon. Weather Rev. 135 1386–1402.
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