We give an overview of four different ensemble-based techniques for uncertainty quantification and illustrate their application in the context of oil plume simulations. These techniques share the common paradigm of ...

The uncertainty for the underwater hyperspectral measurement of attenuation (ACS) is studied. The attenuation measurements for standard particles of different diameters (2,5,10,20 mm) by ultra violet visible (UV-Vis) ...

Assigning uncertainty to ocean-color satellite products is a requirement to allowinformed use of these data. Here, uncertainty estimates are derived using the comparison on a 12th-degree grid of coincident daily records ...

Ocean observations are expensive and difficult to collect. Designing effective ocean observing systems therefore warrants deliberate, quantitative strategies. We leverage adjoint modeling and Hessian uncertainty ...

The oceanographic community acknowledges the need to better quantify the uncertainty of their measurements, but such quantifications are daunting. Requests for examples are often heard (Simpson, 2021). This example is ...

Ocean reanalyses combine ocean models, atmospheric forcing fluxes, and observations using data assimilation to give a four-dimensional description of the ocean. Metrics assessing their reliability have improved over time, ...

This paper is motivated by a present lack of clear model performance guidelines for shelf sea and estuarine modellers seeking to demonstrate to clients and end users that a model is fit for purpose. It addresses the common ...

Best practice modelling reduces model uncertainties and quantitatively and qualitatively documents any uncertainties and assumptions for user transparency. Conversely, poor modelling practices contribute to uncertainties ...