On the assessment of the wave modeling uncertainty in wave climate projections

Lobeto, Hector and Semedo, Alvaro and Menendez, Melisa and Lemos, Gil and Kumar, Rajesh and Akpinar, Adem and Dobrynin, Mikhail and Kamranzad, Bahareh (2023) On the assessment of the wave modeling uncertainty in wave climate projections. Environmental Research Letters, 18 (12). 124006. ISSN 1748-9326 (https://doi.org/10.1088/1748-9326/ad0137)

[thumbnail of Lobeto-etal-ERL-2023-On-the-assessment-of-the-wave-modeling-uncertainty]
Text. Filename: Lobeto-etal-ERL-2023-On-the-assessment-of-the-wave-modeling-uncertainty.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (3MB)| Preview


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.