J
Justin E. Stopa
Researcher at University of Hawaii at Manoa
Publications - 57
Citations - 2535
Justin E. Stopa is an academic researcher from University of Hawaii at Manoa. The author has contributed to research in topics: Swell & Wind wave. The author has an hindex of 23, co-authored 50 publications receiving 1767 citations. Previous affiliations of Justin E. Stopa include University of Hawaii & University of Western Brittany.
Papers
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Journal ArticleDOI
Intercomparison of wind and wave data from the ECMWF Reanalysis Interim and the NCEP Climate Forecast System Reanalysis
Justin E. Stopa,Kwok Fai Cheung +1 more
TL;DR: In this paper, the authors compare wind speeds and wave heights from ERA-I and CFSR using the same set of altimetry and buoy observations and error metrics to assess their consistency in time and space.
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Robustness and uncertainties in global multivariate wind-wave climate projections
Joao Morim,Joao Morim,Joao Morim,Mark Hemer,Xiaolan L. Wang,Nick Cartwright,Claire Trenham,Alvaro Semedo,Ian R. Young,Lucy Bricheno,Paula Camus,Mercè Casas-Prat,Li H. Erikson,Lorenzo Mentaschi,Nobuhito Mori,Tomoya Shimura,Ben Timmermans,Ole Johan Aarnes,Øyvind Breivik,Øyvind Breivik,Arno Behrens,Mikhail Dobrynin,Melisa Menendez,Joanna Staneva,Michael Wehner,Judith Wolf,Bahareh Kamranzad,Adrean Webb,Justin E. Stopa,Fernando Pinheiro Andutta +29 more
TL;DR: In this article, the first coherent, community-driven, multi-method ensemble of global wave climate projections is assessed, showing 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.
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Assessment of wave energy resources in Hawaii
TL;DR: In this paper, the authors implemented a nested computational grid along the major Hawaiian Islands in the global WaveWatch3 (WW3) model and utilized the Weather Research and Forecast (WRF) model to provide high-resolution mesoscale wind forcing over the Hawaii region.
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Comparison and validation of physical wave parameterizations in spectral wave models
TL;DR: In this article, a comparison of spectral wave models is conducted using satellite measurements, buoy spectra, and a comparison between the different models, and it is confirmed that all models perform well in terms of significant wave heights; however higher-order moments have larger errors.
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Patterns and cycles in the Climate Forecast System Reanalysis wind and wave data
TL;DR: In this paper, the authors analyzed the continuous 31-year of global wind and wave data in terms of climate patterns and cycles, and the results compare well with published climate studies on regional scales and provide important linkage to the global wave climate characteristics.