Related references
Note: Only part of the references are listed.Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication
Keith Beven
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2016)
A philosophical basis for hydrological uncertainty
Grey S. Nearing et al.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2016)
Benchmarking NLDAS-2 Soil Moisture and Evapotranspiration to Separate Uncertainty Contributions
Grey S. Nearing et al.
JOURNAL OF HYDROMETEOROLOGY (2016)
Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization
Veronika Eyring et al.
GEOSCIENTIFIC MODEL DEVELOPMENT (2016)
A unified approach for process-based hydrologic modeling: 1. Modeling concept
Martyn P. Clark et al.
WATER RESOURCES RESEARCH (2015)
The quantity and quality of information in hydrologic models
Grey S. Nearing et al.
WATER RESOURCES RESEARCH (2015)
Origin of probabilities and their application to the multiverse
Andreas Albrecht et al.
PHYSICAL REVIEW D (2014)
Equitability, mutual information, and the maximal information coefficient
Justin B. Kinney et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2014)
Philosophy and the practice of Bayesian statistics
Andrew Gelman et al.
BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY (2013)
Estimating epistemic and aleatory uncertainties during hydrologic modeling: An information theoretic approach
Wei Gong et al.
WATER RESOURCES RESEARCH (2013)
Why hydrological predictions should be evaluated using information theory
S. V. Weijs et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2010)
So just why would a modeller choose to be incoherent?
Keith J. Beven et al.
JOURNAL OF HYDROLOGY (2008)
Suboptimal behavior of Bayes and MDL in classification under misspecification
Peter Gruenwald et al.
MACHINE LEARNING (2007)
Searching for the Holy Grail of scientific hydrology: Q(t) = H((S)under-left-arrow, (R)under-left-arrow, Delta t)A as closure
K. Beven
HYDROLOGY AND EARTH SYSTEM SCIENCES (2006)
Constructing a logic of plausible inference: a guide to Cox's theorem
KS Van Horn
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2003)
Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
K Beven et al.
JOURNAL OF HYDROLOGY (2001)