2022
DOI: 10.1038/s43247-022-00654-9
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Global ocean wave fields show consistent regional trends between 1980 and 2014 in a multi-product ensemble

Abstract: Historical trends in the direction and magnitude of ocean surface wave height, period, or direction are debated due to diverse data, time-periods, or methodologies. Using a consistent community-driven ensemble of global wave products, we quantify and establish regions with robust trends in global multivariate wave fields between 1980 and 2014. We find that about 30–40% of the global ocean experienced robust seasonal trends in mean and extreme wave height, period, and direction. Most of the Southern Hemisphere … Show more

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Cited by 31 publications
(16 citation statements)
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“…The model was forced with hourly data of sea level pressure, wind speed and sea ice concentration from the fifth-generation reanalysis ERA5 (Hersbach et al, 2020). Apart from its resolution of 25 km, high for a global reanalysis, we selected ERA5 for its extended time span (from 1950 on), and its accuracy, compared to other products, in reproducing long-term trends (Erikson et al, 2022). The model time step was 400 s for both the circulation component and the wave component, with circulation-wave coupling occurring at each time step.…”
Section: Model Setupmentioning
confidence: 99%
“…The model was forced with hourly data of sea level pressure, wind speed and sea ice concentration from the fifth-generation reanalysis ERA5 (Hersbach et al, 2020). Apart from its resolution of 25 km, high for a global reanalysis, we selected ERA5 for its extended time span (from 1950 on), and its accuracy, compared to other products, in reproducing long-term trends (Erikson et al, 2022). The model time step was 400 s for both the circulation component and the wave component, with circulation-wave coupling occurring at each time step.…”
Section: Model Setupmentioning
confidence: 99%
“…To access the robustness of trend, we identify the grids where >50% of members have statistically significant trend (at 5% level) and >80% (of the members previously identified with statistically significant trend) have the same sign for trend. In this way, the uncertainty assessment includes two types of variability: inter-member and inter-annual (Casas-Prat et al, 2024;Erikson et al, 2022;Morim et al, 2019).…”
Section: Model Experiments and Analysis Methodsmentioning
confidence: 99%
“…Through the use of a hindcast, we remove the impact of wave data assimilation present in ERA5, which may cause spurious trends. To further assess the uncertainties associated with global wave climate trends, one could use an ensemble of global wave models (Casas‐Prat et al., 2022; Erikson et al., 2022). Note that, at least 10 ensemble models are desired to detect H s trends and ensemble models can sometimes lead to opposite signs for the same area (Casas‐Prat et al., 2022).…”
Section: Wave Climate and Trendsmentioning
confidence: 99%
“…Note that historical wave climate trends may vary from product to product (Erikson et al., 2022). Wave reanalyses are not suitable for analyzing H s trends due to the time series inhomogeneities (Casas‐Prat et al., 2022; Meucci et al., 2020).…”
Section: Wave Climate and Trendsmentioning
confidence: 99%