Environmental Research Letters · 2023 · 14 citations · 66 references
Natural SciencesEarth SciencesOceanographyOcean ModelingPhysical OceanographyUncertainty QuantificationClimate ModelingClimate ProjectionsCoastal Ocean ModelingSurface Wave DynamicsClimate Change Projection UncertaintyEpistemic UncertaintyFuture Climate ProjectionsInternal Wave ParameterizationOcean Climate ProjectionsSystematic UncertaintiesWave Climate AnalysisWave Model
Abstract This study investigates the epistemic uncertainty associated with the wave propagation modeling in wave climate projections. A single-forcing, single-scenario, seven-member global wave climate projection ensemble is used, developed using three wave models with a consistent numerical domain. The uncertainty is assessed through projected changes in wave height, wave period, and wave direction. The relative importance of the wave model used and its internal parameterization are examined. The former is the dominant source of uncertainty in approximately two-thirds of the global ocean. The study reveals divergences in projected changes from runs of different models and runs of the same model with different parameterizations over 75% of the ensemble mean change in several ocean regions. Projected changes in the wave period shows the most significant uncertainties, particularly in the Pacific Ocean basin, while the wave height shows the least. Over 30% of global coastlines exhibit significant uncertainties in at least two out of the three wave climate variables analyzed. The coasts of western North America, the Maritime Continent and the Arabian Sea show the most significant wave modeling uncertainties.
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Hans Hersbach, Bill Bell, Paul Berrisford et al. · Quarterly Journal of the Royal Meteorological Society · 2020 · 30.4K citations · Full text
Applied Linear Statistical Models
Michael Kutner · Technometrics · 1997 · 7.3K citations · Full text