Ensembles vs. information theory: supporting science under uncertainty

Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication

(2016) Keith Beven   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

A philosophical basis for hydrological uncertainty

(2016) Grey S. Nearing et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Benchmarking NLDAS-2 Soil Moisture and Evapotranspiration to Separate Uncertainty Contributions

(2016) Grey S. Nearing et al.   JOURNAL OF HYDROMETEOROLOGY

A unified approach for process-based hydrologic modeling: 1. Modeling concept

(2015) Martyn P. Clark et al.   WATER RESOURCES RESEARCH

The quantity and quality of information in hydrologic models

(2015) Grey S. Nearing et al.   WATER RESOURCES RESEARCH

Origin of probabilities and their application to the multiverse

(2014) Andreas Albrecht et al.   PHYSICAL REVIEW D

Equitability, mutual information, and the maximal information coefficient

(2014) Justin B. Kinney et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Estimating epistemic and aleatory uncertainties during hydrologic modeling: An information theoretic approach

(2013) Wei Gong et al.   WATER RESOURCES RESEARCH

Philosophy and the practice of Bayesian statistics

(2012) Andrew Gelman et al.   BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY

So just why would a modeller choose to be incoherent?

(2008) Keith J. Beven et al.   JOURNAL OF HYDROLOGY