Global ocean wave fields show consistent regional trends between 1980 and 2014 in a multi-product ensemble

Erikson, Li H.; Morim, Joao; Hemer, Mark; Young, Ian R.; Wang, X. L.; Mentaschi, Lorenzo; Mori, Nobuhito; Semedo, Álvaro; Stopa, Justin E.; Grigorieva, V. G.; Gulev, Sergey; Aarnes, Ole Johan; Bidlot, Jean‐Raymond; Breivik, Øyvind; Bricheno, Lucy; Shimura, Tomoya; Ménendez, Melisa; Markina, Margarita; Sharmar, Vitali; Trenham, Claire; Wolf, Judith; Appendini, Christian M.; Caires, S.; Groll, Nikolaus; Webb, Adrean

doi:10.1038/s43247-022-00654-9

Cited by 27 publications

(16 citation statements)

References 82 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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%

Assessment of global wave models on regular and unstructured grids using the Unresolved Obstacles Source Term

et al. 2020

View full text Add to dashboard Cite

The Unresolved Obstacles Source Term (UOST) is a general methodology for parameterizing the dissipative effects of subscale islands, cliffs, and other unresolved features in ocean wave models. Since it separates the dissipation from the energy advection scheme, it can be applied to any numerical scheme or any type of mesh. UOST is now part of the official release of WAVEWATCH III, and the freely available package alphaBetaLab automates the estimation of the parameters needed for the obstructed cells. In this contribution, an assessment of global regular and unstructured (triangular) wave models employing UOST is presented. The results in regular meshes show an improvement in model skill, both in terms of spectrum and of integrated parameters, thanks to the UOST modulation of the dissipation with wave direction, and to considering the cell geometry. The improvement is clear in wide areas characterized by the presence of islands, like the whole central-western Pacific Basin. In unstructured meshes, the use of UOST removes the need of high resolution in proximity of all small features, leading to (a) a simplification in the development process of large scale and global meshes, and (b) a significant decrease of the computational demand of accurate large-scale models.

show abstract

Section: Model Setupmentioning

confidence: 99%

Assessment of global wave models on regular and unstructured grids using the Unresolved Obstacles Source Term

et al. 2020

View full text Add to dashboard Cite

show abstract

“…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%

Quantifying Anthropogenic Influences on Global Wave Height Trend During 1961–2020 With Focus on Polar Ocean

Patra,

Dodet,

Min

et al. 2024

Geophysical Research Letters

View full text Add to dashboard Cite

This study investigates the contribution of external forcings on global and regional ocean wave height change during 1961–2020. Historical significant wave height (Hs) produced for different CMIP6 external forcings and preindustrial control conditions following the Detection and Attribution Model Intercomparison Project (DAMIP) are employed. The internal variability ranges are compared with different external forcing scenario. Statistically significant linear trends in Hs computed over regional ocean basins are found to be mostly associated with anthropogenic forcings: greenhouse gas‐only (GHG) and aerosol‐only (AER) forcing. For Hs, GHG signals are robustly detected and dominant for most of the global ocean, except over North pacific and South Atlantic, where AER signals are dominant. These results are supported by multi‐model analysis for wind speed. The remarkable increase in Hs over the Arctic (22.3%) and Southern (8.2%) Ocean can be attributed to GHG induced sea‐ice depletion and larger effective fetch along with wind speed increase.

show abstract

“…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%

A Comparison of Multiple Approaches to Study the Modulation of Ocean Waves Due To Climate Variability

Liu,

Meucci,

Young

2023

JGR Oceans

Self Cite

View full text Add to dashboard Cite

Using multiple approaches, the modulation of climate variability on global ocean waves from 1981 to 2020 is investigated based on a wave hindcast model forced by ERA5 winds. These climate variabilities include: El Niño‐Southern Oscillation (ENSO), Antarctic Oscillation (AAO), Arctic Oscillation (AO), Pacific Decadal Oscillation (PDO), Atlantic Multidecadal Oscillation (AMO) and Indian Ocean Dipole (IOD). Linear regression and composite analysis results indicate that El Niño‐induced low‐pressure systems in December‐January‐February (DJF) generate energetic waves in the Pacific Ocean. Positive AAO events are associated with the southward movement of westerlies in the Southern Hemisphere and thus produce long‐period Southern Ocean swell that impacts the South Pacific Ocean. In the Northern Hemisphere, positive AO is associated with strengthening winds which generate larger waves around the Icelandic region. An empirical orthogonal function (EOF) approach was further undertaken to study interannual variability of significant wave height (Hs) anomalies. In DJF, mode 1 marks the impacts of ENSO and PDO on the Pacific Ocean and AO in the North Atlantic Ocean. Mode 2 is controlled by AO, which is characterized by a dipole pattern in the North Atlantic Ocean. Mode 3 describes the AAO footprints in the Southern Ocean and the eastern Pacific Ocean. In June‐July‐August (JJA), the leading mode is influenced by AAO and AMO. Mode 2 indicates the importance of ENSO and PDO which exhibit opposite patterns in the Pacific Ocean sector of the Southern Ocean. Finally, a wavelet coherence analysis is conducted on the principal components and climate indexes, which shows their respective evolutions over the time‐frequency domain.

show abstract

Global ocean wave fields show consistent regional trends between 1980 and 2014 in a multi-product ensemble

Cited by 27 publications

References 82 publications

Assessment of global wave models on regular and unstructured grids using the Unresolved Obstacles Source Term

Assessment of global wave models on regular and unstructured grids using the Unresolved Obstacles Source Term

Quantifying Anthropogenic Influences on Global Wave Height Trend During 1961–2020 With Focus on Polar Ocean

A Comparison of Multiple Approaches to Study the Modulation of Ocean Waves Due To Climate Variability

Contact Info

Product

Resources

About