Abstract: he authors consider the joint state and parameter estimation problem for dynamical models where the system evolution is known and where the observations are linear with additive Gaussian noise whose covariance matrix depends ...

Abstract: limate scenarios make implicit or explicit assumptions about the extrapolation of climate model biases from current to future time periods. Such assumptions are inevitable because of the lack of future observations. This ...

Abstract: Bayesian hierarchical model for heterogeneous multimodel ensembles of global and regional climate models is presented. By applying the methodology herein to regional and seasonal temperature averages from the ENSEMBLES ...

Abstract: eostatistics provides a popular framework for deriving high-resolution quantitative precipitation estimates (QPE) by combining radar and rain gauge data. However, the skewed and heteroscedastic nature of precipitation is ...