Hydrologic uncertainty processor for probabilistic stage transition forecasting

By Roman Krzysztofowicz, Coire J. Maranzano. 2004

76 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities (2012, background): “A wide variety of alternative error models may be found in the literature (Seo et al., 2006; Weerts et al., 2011; among others) and the problem may be formulated in a Bayesian context (e.g., Krzysztofowicz and Maranzano, 2004).”
Hydrological uncertainty processor based on a copula function (2018, unknown): “A multivariate probabilistic forecast system (Krzysztofowicz and Maranzano 2004, Engeland and Steinsland 2014) would offer a joint probability distribution of (H1, H2, . . ., HN) which would require a multivariate HUP and will be considered in further study.”