To the brave scientists: Aren't we strong enough to stand (and profit from) uncertainty in Earth system measurement and modelling?

Artificial intelligence reconstructs missing climate information

(2020) Christopher Kadow et al.   Nature Geoscience

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

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

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

An overview of methods to evaluate uncertainty of deterministic models in decision support

(2015) Laura Uusitalo et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Systematic description of direct push sensor systems: A conceptual framework for system decomposition as a basis for the optimal sensor system design

(2015) Jan Bumberger et al.   JOURNAL OF APPLIED GEOPHYSICS

Evaluation of direct push probes: Sensor interface analysis of DC resistivity probes

(2015) Daniel Demuth et al.   JOURNAL OF APPLIED GEOPHYSICS

History matching for exploring and reducing climate model parameter space using observations and a large perturbed physics ensemble

(2013) Daniel Williamson et al.   CLIMATE DYNAMICS

An integrated view of data quality in Earth observation

(2012) X. Yang et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

What does it mean when climate models agree? A case for assessing independence among general circulation models

(2010) Zachary Pirtle et al.   ENVIRONMENTAL SCIENCE & POLICY

Aleatory or epistemic? Does it matter?

(2008) Armen Der Kiureghian et al.   STRUCTURAL SAFETY