The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Mark Hemer - One of the best experts on this subject based on the ideXlab platform.
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Robustness and uncertainties in global multivariate wind-Wave climate projections
Nature Climate Change, 2019Co-Authors: Joao Morim, Ian R. Young, Paula Camus, Mark Hemer, Alvaro Semedo, Xiaolan L Wang, Nick Cartwright, Claire Trenham, Lucy Bricheno, M. Casas-pratAbstract:Understanding climate-driven impacts on the multivariate global wind-Wave climate is paramount to effective offshore/coastal climate adaptation planning. However, the use of single-method ensembles and variations arising from different methodologies has resulted in unquantified uncertainty amongst existing global Wave climate projections. Here, assessing the first coherent, community-driven, multi-method ensemble of global Wave climate projections, we demonstrate widespread ocean regions with robust changes in annual mean significant Wave height and mean Wave period of 5–15% and shifts in mean Wave Direction of 5–15°, under a high-emission scenario. Approximately 50% of the world’s coastline is at risk from Wave climate change, with ~40% revealing robust changes in at least two variables. Furthermore, we find that uncertainty in current projections is dominated by climate model-driven uncertainty, and that single-method modelling studies are unable to capture up to ~50% of the total associated uncertainty.
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Wave energy resource assessment along the southeast coast of australia on the basis of a 31 year hindcast
Applied Energy, 2016Co-Authors: Joao Morim, Nick Cartwright, Amir Etemadshahidi, Darrell Strauss, Mark HemerAbstract:In this study, a long-term assessment of the Wave energy resource potential for the Australian southeast shelf is performed from deep to shallow water, based on a 31-year Wave hindcast. The hindcast, covering the period from 1979 to 2010, has been performed at high spatio-temporal resolution with the Wave energy transformation model SWAN using calibrated source-term parameters. The model has been applied with a variable spatial resolution of up to approximately 500m and at 1h temporal resolution and driven with high-resolution, non-stationary CFSR wind fields and full 2D spectral boundary conditions from WaveWatch III model. Model validation was conducted against Wave measurements from multiple buoy sites covering 10–31years and showed a relatively high correlation between hindcast and measured significant Wave height (Hs) and mean Wave Direction (θm).
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variability and trends in the Directional Wave climate of the southern hemisphere
International Journal of Climatology, 2010Co-Authors: Mark Hemer, John A Church, J R HunterAbstract:The effect of interannual climate variability and change on the historic, Directional Wave climate of the Southern Hemisphere is presented. Owing to a lack of in situ Wave observations, Wave climate in the Southern Hemisphere is determined from satellite altimetry and global ocean Wave models. Altimeter data span the period 1985 to present, with the exception of a 2-year gap in 1989–1991. Interannual variability and trends in the significant Wave height are determined from the satellite altimeter record (1991 to present), and the dominant modes of variability are identified using an empirical orthogonal function (EOF) analysis. Significant Wave heights in the Southern Ocean are observed to show a strong positive correlation with the Southern Annular Mode (SAM), particularly during Austral autumn and winter months. Correlation between altimeter derived significant Wave heights and the Southern Oscillation Index is observed in the Pacific basin, which is consistent with several previous studies. Variability and trends of the Directional Wave climate are determined using the ERA-40 Waves Re-analysis for the period 1980–2001. Significant Wave height, mean Wave period and mean Wave Direction data are used to describe the climate of the Wave energy flux vector. An EOF analysis of the Wave energy flux vector is carried out to determine the dominant modes of variability of the Directional seasonal Wave energy flux climate. The dominant mode of variability during autumn and winter months is strongly correlated to the SAM. There is an anti-clockwise rotation of Wave Direction with the southward intensification of the Southern Ocean storm belt associated with the SAM. Clockwise rotation of flux vectors is observed in the Western Pacific Ocean during El-Nino events. Directional variability of the Wave energy flux in the Western Pacific Ocean has previously been shown to be of importance to sand transport along the south-eastern Australian margin, and the New Zealand region. The Directional variability of the Wave energy flux of the Southern Ocean associated with the SAM is expected to be of importance to the Wave-driven currents responsible for the transport of sand along coastal margins in the Southern Hemisphere, in particular those on the Southern and Western coastal margins of the Australian continent. Copyright © 2009 Royal Meteorological Society
Joao Morim - One of the best experts on this subject based on the ideXlab platform.
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Robustness and uncertainties in global multivariate wind-Wave climate projections
Nature Climate Change, 2019Co-Authors: Joao Morim, Ian R. Young, Paula Camus, Mark Hemer, Alvaro Semedo, Xiaolan L Wang, Nick Cartwright, Claire Trenham, Lucy Bricheno, M. Casas-pratAbstract:Understanding climate-driven impacts on the multivariate global wind-Wave climate is paramount to effective offshore/coastal climate adaptation planning. However, the use of single-method ensembles and variations arising from different methodologies has resulted in unquantified uncertainty amongst existing global Wave climate projections. Here, assessing the first coherent, community-driven, multi-method ensemble of global Wave climate projections, we demonstrate widespread ocean regions with robust changes in annual mean significant Wave height and mean Wave period of 5–15% and shifts in mean Wave Direction of 5–15°, under a high-emission scenario. Approximately 50% of the world’s coastline is at risk from Wave climate change, with ~40% revealing robust changes in at least two variables. Furthermore, we find that uncertainty in current projections is dominated by climate model-driven uncertainty, and that single-method modelling studies are unable to capture up to ~50% of the total associated uncertainty.
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Wave energy resource assessment along the southeast coast of australia on the basis of a 31 year hindcast
Applied Energy, 2016Co-Authors: Joao Morim, Nick Cartwright, Amir Etemadshahidi, Darrell Strauss, Mark HemerAbstract:In this study, a long-term assessment of the Wave energy resource potential for the Australian southeast shelf is performed from deep to shallow water, based on a 31-year Wave hindcast. The hindcast, covering the period from 1979 to 2010, has been performed at high spatio-temporal resolution with the Wave energy transformation model SWAN using calibrated source-term parameters. The model has been applied with a variable spatial resolution of up to approximately 500m and at 1h temporal resolution and driven with high-resolution, non-stationary CFSR wind fields and full 2D spectral boundary conditions from WaveWatch III model. Model validation was conducted against Wave measurements from multiple buoy sites covering 10–31years and showed a relatively high correlation between hindcast and measured significant Wave height (Hs) and mean Wave Direction (θm).
Paula Camus - One of the best experts on this subject based on the ideXlab platform.
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Robustness and uncertainties in global multivariate wind-Wave climate projections
Nature Climate Change, 2019Co-Authors: Joao Morim, Ian R. Young, Paula Camus, Mark Hemer, Alvaro Semedo, Xiaolan L Wang, Nick Cartwright, Claire Trenham, Lucy Bricheno, M. Casas-pratAbstract:Understanding climate-driven impacts on the multivariate global wind-Wave climate is paramount to effective offshore/coastal climate adaptation planning. However, the use of single-method ensembles and variations arising from different methodologies has resulted in unquantified uncertainty amongst existing global Wave climate projections. Here, assessing the first coherent, community-driven, multi-method ensemble of global Wave climate projections, we demonstrate widespread ocean regions with robust changes in annual mean significant Wave height and mean Wave period of 5–15% and shifts in mean Wave Direction of 5–15°, under a high-emission scenario. Approximately 50% of the world’s coastline is at risk from Wave climate change, with ~40% revealing robust changes in at least two variables. Furthermore, we find that uncertainty in current projections is dominated by climate model-driven uncertainty, and that single-method modelling studies are unable to capture up to ~50% of the total associated uncertainty.
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Analysis of clustering and selection algorithms for the study of multivariate Wave climate
Coastal Engineering, 2011Co-Authors: Paula Camus, Fernando J Mendez, Raúl Medina, Antonio S. CofiñoAbstract:Abstract Recent Wave reanalysis databases require the application of techniques capable of managing huge amounts of information. In this paper, several clustering and selection algorithms: K-Means (KMA), self-organizing maps (SOM) and Maximum Dissimilarity (MDA) have been applied to analyze trivariate hourly time series of met-ocean parameters (significant Wave height, mean period, and mean Wave Direction). A methodology has been developed to apply the aforementioned techniques to Wave climate analysis, which implies data pre-processing and slight modifications in the algorithms. Results show that: a) the SOM classifies the Wave climate in the relevant “Wave types” projected in a bidimensional lattice, providing an easy visualization and probabilistic multidimensional analysis; b) the KMA technique correctly represents the average Wave climate and can be used in several coastal applications such as longshore drift or harbor agitation; c) the MDA algorithm allows selecting a representative subset of the Wave climate diversity quite suitable to be implemented in a nearshore propagation methodology.
Nick Cartwright - One of the best experts on this subject based on the ideXlab platform.
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Robustness and uncertainties in global multivariate wind-Wave climate projections
Nature Climate Change, 2019Co-Authors: Joao Morim, Ian R. Young, Paula Camus, Mark Hemer, Alvaro Semedo, Xiaolan L Wang, Nick Cartwright, Claire Trenham, Lucy Bricheno, M. Casas-pratAbstract:Understanding climate-driven impacts on the multivariate global wind-Wave climate is paramount to effective offshore/coastal climate adaptation planning. However, the use of single-method ensembles and variations arising from different methodologies has resulted in unquantified uncertainty amongst existing global Wave climate projections. Here, assessing the first coherent, community-driven, multi-method ensemble of global Wave climate projections, we demonstrate widespread ocean regions with robust changes in annual mean significant Wave height and mean Wave period of 5–15% and shifts in mean Wave Direction of 5–15°, under a high-emission scenario. Approximately 50% of the world’s coastline is at risk from Wave climate change, with ~40% revealing robust changes in at least two variables. Furthermore, we find that uncertainty in current projections is dominated by climate model-driven uncertainty, and that single-method modelling studies are unable to capture up to ~50% of the total associated uncertainty.
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Wave energy resource assessment along the southeast coast of australia on the basis of a 31 year hindcast
Applied Energy, 2016Co-Authors: Joao Morim, Nick Cartwright, Amir Etemadshahidi, Darrell Strauss, Mark HemerAbstract:In this study, a long-term assessment of the Wave energy resource potential for the Australian southeast shelf is performed from deep to shallow water, based on a 31-year Wave hindcast. The hindcast, covering the period from 1979 to 2010, has been performed at high spatio-temporal resolution with the Wave energy transformation model SWAN using calibrated source-term parameters. The model has been applied with a variable spatial resolution of up to approximately 500m and at 1h temporal resolution and driven with high-resolution, non-stationary CFSR wind fields and full 2D spectral boundary conditions from WaveWatch III model. Model validation was conducted against Wave measurements from multiple buoy sites covering 10–31years and showed a relatively high correlation between hindcast and measured significant Wave height (Hs) and mean Wave Direction (θm).
M. Casas-prat - One of the best experts on this subject based on the ideXlab platform.
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Robustness and uncertainties in global multivariate wind-Wave climate projections
Nature Climate Change, 2019Co-Authors: Joao Morim, Ian R. Young, Paula Camus, Mark Hemer, Alvaro Semedo, Xiaolan L Wang, Nick Cartwright, Claire Trenham, Lucy Bricheno, M. Casas-pratAbstract:Understanding climate-driven impacts on the multivariate global wind-Wave climate is paramount to effective offshore/coastal climate adaptation planning. However, the use of single-method ensembles and variations arising from different methodologies has resulted in unquantified uncertainty amongst existing global Wave climate projections. Here, assessing the first coherent, community-driven, multi-method ensemble of global Wave climate projections, we demonstrate widespread ocean regions with robust changes in annual mean significant Wave height and mean Wave period of 5–15% and shifts in mean Wave Direction of 5–15°, under a high-emission scenario. Approximately 50% of the world’s coastline is at risk from Wave climate change, with ~40% revealing robust changes in at least two variables. Furthermore, we find that uncertainty in current projections is dominated by climate model-driven uncertainty, and that single-method modelling studies are unable to capture up to ~50% of the total associated uncertainty.
