Wave energy flux in the Caribbean Sea: Trends and variability

Orejarena-Rondón, Andrés F.; Restrepo, Juan Camilo; Correa‐Metrio, Alex; Orfila, Alejandro

doi:10.1016/j.renene.2021.09.081

Cited by 17 publications

(6 citation statements)

References 53 publications

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“…The database here used contributes to reduce the lack of available information on wave parameters in the Caribbean Sea [Orejarena-Rondón et al, 2021a]. Indeed this simulation is the longest in comparison to other wave reanalysis available in the Caribbean Sea [Arias et al, 2009, Dagua et al, 2013, Appendini et al, 2015, Osorio et al, 2016, and has been employed for marine energy analysis [Orejarena-Rondón et al, 2022], but can also we used for studies of coastal vulnerability, to analyze climate variability, or to study open sea extreme wave conditions for coastal and offshore engineering, among other. Data is freely accessible in the repository https://nimbus.imedea.uib-csic.es/s/JEaPEeeQNLPFJ3S [Orejarena-Rondón et al, 2021b].…”

Section: Discussionmentioning

confidence: 99%

“…The maximum WEF was found during late fall (December and January) and late spring (June and July) with wave power ranges in the Caribbean Sea within the range of previous studies (5 -14 kW/m). Recently, [Orejarena-Rondón et al, 2022] used the same simulation we use in this work to analyze WEF trends in the Caribbean Sea, showing a decrease between 1958-2017 with an annual rate that oscillates between 0.01% and 0.2%, depending on the region. Here we go one step further to analyze the spatial and temporal variability of WEF in the Caribbean Sea from 1958 to 2017 using a novel approach with which coherent regions that show similar WEF are distinguished according to their associated wind pattern.…”

Section: Introductionmentioning

confidence: 99%

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Spatio-temporal variability of mean wave energy flux in the Caribbean Sea

Orejarena-Rondón

Sayol

Hernández‐Carrasco

et al. 2022

J. Ocean Eng. Mar. Energy

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Wave energy flux (WEF) is assessed in the Caribbean Sea from a 60year (1958-2017) wave hindcast. We use a novel approach, based on neural networks, to identify coherent regions of similar WEF and their association with different climate patterns. This method allows for a better evaluation of the underlying dynamics behind seasonal and inter-annual WEF variability, including the effect induced by the latitudinal migration of the Intertropical Convergence Zone (ITCZ), and the influence of El Niño-Southern Oscillation events. Results show clear regional differences of the WEF variability likely due to both a clear regionalization of the WEF due to both the intensification and migration of the ITCZ. WEF exhibits a strong semiseasonal signal in areas of the continental shelf, with maximums in January and June, in agreement with the sea surface temperature and sea level pressure variability. At larger scales, WEF shows a significant correlation with the Oceanic Niño Index depicting positive values in the central and western basin and negative ones at the eastern side.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatio-temporal variability of mean wave energy flux in the Caribbean Sea

Orejarena-Rondón

Sayol

Hernández‐Carrasco

et al. 2022

J. Ocean Eng. Mar. Energy

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“…A strong Ekman component of the transport is generated in the Caribbean Sea by the Trade Winds (see Fig. 11 in Appendix A), which blow from the northeast-east-southeast depending, to a large extent, on the latitudinal position of the Intertropical Convergence Zone (ITCZ) and of the North Atlantic subtropical high (Schneider et al 2014;Orejarena-Rondón et al 2022).…”

Section: The Caribbean Basinmentioning

confidence: 99%

Mesoscale eddy variability in the Caribbean Sea

et al. 2022

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The spatial distribution, and the monthly and seasonal variability of mesoscale eddy observations derived from the AVISO eddy atlas are assessed in the Caribbean Sea during 1993–2019. The average lifetime for the whole set of eddies is 62 ± 37 days, mean amplitude of 7 ± 4 cm for cyclonic and 7 ± 4 cm for anticyclonic and mean radius of 100 ± 31 km for cyclonic and 108 ± 32 km for anticyclonic. Cyclonic eddies are on average more nonlinear than anticyclonic ones. The spatio-temporal variability in the number of eddy observations is evaluated against the Mean Eddy Kinetic Energy (MEKE) derived from geostrophic currents as well as from seasonal winds. Spatial distribution of eddy observations is correlated with MEKE while the migration of the intertropical convergence zone explains the advection of eddies towards the southern part of the basin.

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“…A strong Ekman component of the transport is generated in the Caribbean Sea by the Trade Winds (see Fig. A1 in the Appendix A), which blow from the northeast-east-southeast depending, to a large extent, on the latitudinal position of the Intertropical Convergence Zone (ITCZ) and of the North Atlantic subtropical high Schneider et al (2014); Orejarena-Rondón et al (2022).…”

Section: Greater Antillesmentioning

confidence: 99%

Mesoscale eddy variability in the CaribbeanSea

López-Alzate¹,

Sayol²,

Hernández‐Carrasco³

et al. 2022

Preprint

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The spatial distribution, the monthly and seasonal variability of mesoscale eddy-observations derived from the AVISO eddy atlas are assessed in the Caribbean Sea for the period between 1993 and 2019 (both included). The average lifetime for the whole set of eddies is 61.8±37.1days, mean amplitude of 7.4±4.2cm for ciclonic and 6.7±3.7cm for anticyclonic and mean radius of99.5±31.2km for cyclonic and108.0±32.4km for anticiclonic. Ciclonic eddies are on average more non-linear than anticiclonic. The spatio-temporal variability in the number of eddy-observations is evaluated against the Mean Eddy KineticEnergy (MEKE) derived from geostrophic currents as well as from seasonal winds. Spatial distribution of eddy-observations are correlated with MEKE while the migration of the intertropical convergence zone explains the advection of eddies towards the southern part of the basin.

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Wave energy flux in the Caribbean Sea: Trends and variability

Cited by 17 publications

References 53 publications

Spatio-temporal variability of mean wave energy flux in the Caribbean Sea

Spatio-temporal variability of mean wave energy flux in the Caribbean Sea

Mesoscale eddy variability in the Caribbean Sea

Mesoscale eddy variability in the CaribbeanSea

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