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stat.AP2023
Comparison of Ensemble-Based Data Assimilation Methods for Sparse Oceanographic Data
Florian Beiser, Håvard Heitlo Holm, Jo Eidsvik
For oceanographic applications, probabilistic forecasts typically have to deal with i) high-dimensional complex models, and ii) very sparse spatial observations. In search-and-resc…
stat.AP2013
Bayesian hierarchical modeling of extreme hourly precipitation in Norway
Anita V. Dyrrdal, Alex Lenkoski, Thordis L. Thorarinsdottir +1
Spatial maps of extreme precipitation are a critical component of flood estimation in hydrological modeling, as well as in the planning and design of important infrastructure. This…