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A Multimodal Wave Spectrum-Based Approach for Statistical Downscaling of Local Wave Climate
by
Pérez García, Jorge
, Erikson, L.H
, Universidad de Cantabria
, Hegermiller, C.A
, Méndez Incera, Fernando Javier
, Álvarez Antolínez, José Antonio
, Barnard, P.L
, Rueda Zamora, Ana Cristina
, Camus Braña, Paula
in
Atmospheric conditions
/ Basins
/ Climate
/ Climate change
/ Climatology
/ Coastal environments
/ Coastal evolution
/ Coastal flooding
/ Coastal hazards
/ Energy flux
/ Energy transfer
/ Evolution
/ Flooding
/ Floods
/ Geology
/ Hazard assessment
/ Mathematical models
/ Methods
/ Ocean basins
/ Oceanic analysis
/ Parameters
/ R&D
/ Regions
/ Research & development
/ Sea level
/ Significant wave height
/ Significant waves
/ Statistical analysis
/ Statistical models
/ Swell
/ Travel time
/ Wave climate
/ Wave generation
/ Wave groups
/ Wave height
/ Wave parameters
/ Wave spectra
/ Weather types
/ Wind
2017
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A Multimodal Wave Spectrum-Based Approach for Statistical Downscaling of Local Wave Climate
by
Pérez García, Jorge
, Erikson, L.H
, Universidad de Cantabria
, Hegermiller, C.A
, Méndez Incera, Fernando Javier
, Álvarez Antolínez, José Antonio
, Barnard, P.L
, Rueda Zamora, Ana Cristina
, Camus Braña, Paula
in
Atmospheric conditions
/ Basins
/ Climate
/ Climate change
/ Climatology
/ Coastal environments
/ Coastal evolution
/ Coastal flooding
/ Coastal hazards
/ Energy flux
/ Energy transfer
/ Evolution
/ Flooding
/ Floods
/ Geology
/ Hazard assessment
/ Mathematical models
/ Methods
/ Ocean basins
/ Oceanic analysis
/ Parameters
/ R&D
/ Regions
/ Research & development
/ Sea level
/ Significant wave height
/ Significant waves
/ Statistical analysis
/ Statistical models
/ Swell
/ Travel time
/ Wave climate
/ Wave generation
/ Wave groups
/ Wave height
/ Wave parameters
/ Wave spectra
/ Weather types
/ Wind
2017
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Do you wish to request the book?
A Multimodal Wave Spectrum-Based Approach for Statistical Downscaling of Local Wave Climate
by
Pérez García, Jorge
, Erikson, L.H
, Universidad de Cantabria
, Hegermiller, C.A
, Méndez Incera, Fernando Javier
, Álvarez Antolínez, José Antonio
, Barnard, P.L
, Rueda Zamora, Ana Cristina
, Camus Braña, Paula
in
Atmospheric conditions
/ Basins
/ Climate
/ Climate change
/ Climatology
/ Coastal environments
/ Coastal evolution
/ Coastal flooding
/ Coastal hazards
/ Energy flux
/ Energy transfer
/ Evolution
/ Flooding
/ Floods
/ Geology
/ Hazard assessment
/ Mathematical models
/ Methods
/ Ocean basins
/ Oceanic analysis
/ Parameters
/ R&D
/ Regions
/ Research & development
/ Sea level
/ Significant wave height
/ Significant waves
/ Statistical analysis
/ Statistical models
/ Swell
/ Travel time
/ Wave climate
/ Wave generation
/ Wave groups
/ Wave height
/ Wave parameters
/ Wave spectra
/ Weather types
/ Wind
2017
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A Multimodal Wave Spectrum-Based Approach for Statistical Downscaling of Local Wave Climate
Journal Article
A Multimodal Wave Spectrum-Based Approach for Statistical Downscaling of Local Wave Climate
2017
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Overview
Characterization of wave climate by bulk wave parameters is insufficient for many coastal studies, including those focused on assessing coastal hazards and long-term wave climate influences on coastal evolution. This issue is particularly relevant for studies using statistical downscaling of atmospheric fields to local wave conditions, which are often multimodal in large ocean basins (e.g., Pacific Ocean). Swell may be generated in vastly different wave generation regions, yielding complex wave spectra that are inadequately represented by a single set of bulk wave parameters. Furthermore, the relationship between atmospheric systems and local wave conditions is complicated by variations in arrival time of wave groups from different parts of the basin. Here, this study addresses these two challenges by improving upon the spatiotemporal definition of the atmospheric predictor used in the statistical downscaling of local wave climate. The improved methodology separates the local wave spectrum into ?wave families,? defined by spectral peaks and discrete generation regions, and relates atmospheric conditions in distant regions of the ocean basin to local wave conditions by incorporating travel times computed from effective energy flux across the ocean basin. When applied to locations with multimodal wave spectra, including Southern California and Trujillo, Peru, the new methodology improves the ability of the statistical model to project significant wave height, peak period, and direction for each wave family, retaining more information from the full wave spectrum. This work is the base of statistical downscaling by weather types, which has recently been applied to coastal flooding and morphodynamic applications.
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