Performance evaluation of a global CMIP6 single forcing, multi wave model ensemble of wave climate simulations

Gil Lemos, Alvaro Semedo, Rajesh Kumar, Mikhail Dobrynin, Adem Akpinar, Bahareh Kamranzad, Jean Bidlot, Hector Lobeto

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
14 Downloads (Pure)

Abstract

A performance evaluation is conducted for a state-of-the-art Coupled Model Intercomparison Project Phase 6 (CMIP6)-derived ensemble of global wave climate simulations. A single-model (forcing), single-scenario approach is considered to build the ensemble, where the differentiating factor between each member is the wave model or physics parameterization used to simulate waves. The 7-member ensemble is evaluated for the 1995-2014 historical period, highlighting the impact of the multiple source terms on its robustness. The ensemble’s ability to accurately represent the present wave climate is assessed through an extensive comparison with long-term ERA5 reanalysis and in-situ observational data. Relevant aspects such as the depiction of extremes and natural wave climate variability are analyzed, and inter-member uncertainties are quantified. Overall, the results indicate that the ensemble is able to accurately simulate the global wave climate, regarding the significant wave height ( H S ), mean and peak wave periods ( T m and T p , respectively) and mean wave direction ( M W D ). However, we show that using multiple wave models and parameterizations should be cautiously considered when building ensembles, even under the same forcing conditions. Model-parameterization-induced ensemble spreads during the historical period are found to be high, compromising the robustness of projected changes in wave parameters towards the end of the 21 st century across several areas of the global ocean.
Original languageEnglish
Article number102237
Number of pages51
JournalOcean Modelling
Volume184
Early online date30 Jun 2023
DOIs
Publication statusPublished - Aug 2023

Keywords

  • CMIP6
  • ensemble
  • wave climate
  • simulations
  • evaluation
  • uncertainty

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