Ocean wave spectrum bias correction through energy conservation for climate change impacts

Abstract. A novel bias adjustment technique for 2D directional wave spectra is presented, which accounts for the intra-annual temporal variability of waves and the conservation of the wave energy integrated parameter and its extreme distribution, allowing for shifts in frequency and direction given by the global climate model and regional climate model (GCM–RCM) climate signal for the complete multimodal energy distribution. This work is the first attempt to address the biases inherent in GCM–RCM wave spectrum simulations for an assessment of the magnitudes of the projected changes in a climate change scenario. The bias-correction method is applied to a multimodel ensemble of 17 EURO-CORDEX regional simulations of wave spectra in 11 locations of the Mediterranean Sea. Climate change impacts are assessed by means of the changes between the bias-adjusted ensemble and hindcast wave spectra for mid-century conditions from 2034 until 2060 and end-of-century conditions from 2074 until 2100. The results highlight the need for novel bias-correction techniques that address the complexity of the possible directional and frequency shifts due to climate change, in order to provide an accurate assessment of projected future changes in the wave climate.

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Publication Details

Journal
Ocean science
Published
2025-04-16
DOI
https://doi.org/10.5194/os-21-767-2025
Primary Topic
Ocean Waves and Remote Sensing
Type
article
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article

Ocean wave spectrum bias correction through energy conservation for climate change impacts

Andrea Lira‐Loarca, Giovanni Besio
Ocean science
Ocean Waves and Remote Sensing
article

Ocean wave spectrum bias correction through energy conservation for climate change impacts

Andrea Lira‐Loarca, Giovanni Besio
article en

Abstract

Abstract. A novel bias adjustment technique for 2D directional wave spectra is presented, which accounts for the intra-annual temporal variability of waves and the conservation of the wave energy integrated parameter and its extreme distribution, allowing for shifts in frequency and direction given by the global climate model and regional climate model (GCM–RCM) climate signal for the complete multimodal energy distribution. This work is the first attempt to address the biases inherent in GCM–RCM wave spectrum simulations for an assessment of the magnitudes of the projected changes in a climate change scenario. The bias-correction method is applied to a multimodel ensemble of 17 EURO-CORDEX regional simulations of wave spectra in 11 locations of the Mediterranean Sea. Climate change impacts are assessed by means of the changes between the bias-adjusted ensemble and hindcast wave spectra for mid-century conditions from 2034 until 2060 and end-of-century conditions from 2074 until 2100. The results highlight the need for novel bias-correction techniques that address the complexity of the possible directional and frequency shifts due to climate change, in order to provide an accurate assessment of projected future changes in the wave climate.

Ocean scienceVol. 21(2)
University of Genoa (IT)
Openalex Percentile: Top 90%
Ocean Waves and Remote Sensing
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Ocean wave spectrum bias correction through energy conservation for climate change impacts — Andrea Lira‐Loarca, Giovanni Besio · Ocean science (2025) | TGRS Research Map | TGRS