Eve-Marie Devaliere - NOAA Affiliate (original) (raw)
Papers by Eve-Marie Devaliere - NOAA Affiliate
An instrumented model test bed, set up in coastal North Carolina, is employed to evaluate the per... more An instrumented model test bed, set up in coastal North Carolina, is employed to evaluate the performance of a regional SWAN application. The test bed includes an extensive ground-truth data archive, populated by wind and wave observing assets operated by the US Army Corps of Engineers Field Research Facility (USACE FRF), Coastal Ocean Research and Monitoring Program (CORMP), National Ocean Service, SouthEast U.S. Atlantic Coastal Ocean Observing System (SEACOOS) and the National Data Buoy Center (NDBC). The observations are compared to model predictions using the new Automated Model Evaluation and Diagnostics System (AutoMEDS). This system performs both temporal correlation and quantile-quantile regressions to compute error statistics and evaluate model performance at the wind-sea and swell component level. The techniques are applied to assess the performance of an operational SWAN hindcast that has been in operation at USACE FRF since January 2007. The results are used to identify hindcast strengths and weaknesses and guide future developments.
2009 WRI World Congress on Computer Science and Information Engineering, 2009
Numerical ocean wave models output a frequencydirection energy spectrum at each grid point in spa... more Numerical ocean wave models output a frequencydirection energy spectrum at each grid point in space and time over a defined domain (e.g. the Pacific Ocean). After identifying each wave component (wind-sea, young swell and mature swell) using a spectral partitioning technique, a spiral search algorithm is used to identify the different wave systems, which are a cluster of wave-components propagating from a common origin on the ocean. This spiral search algorithm is being tested on output from two different wave models: the NOAA National Center for Environmental Prediction (NCEP) WaveWatch III and the Delft near-shore wave model SWAN (Simulating WAve Near shore). The tracking algorithm, prototyped in Matlab, spirals once through the entire domain to identify existing wave systems. A second loop then combines neighboring wave systems initially separated by land. 2009 World Congress on Computer Science and Information Engineering 978-0-7695-3507-4/08 $25.00
… Workshop on Wave …, 2007
An instrumented model test bed, set up in coastal North Carolina, is employed to evaluate the per... more An instrumented model test bed, set up in coastal North Carolina, is employed to evaluate the performance of a regional SWAN application. The test bed includes an extensive ground-truth data archive, populated by wind and wave observing assets operated by the US Army Corps of Engineers Field Research Facility (USACE FRF), Coastal Ocean Research and Monitoring Program (CORMP), National Ocean Service, SouthEast U.S. Atlantic Coastal Ocean Observing System (SEACOOS) and the National Data Buoy Center (NDBC). The observations are compared to model predictions using the new Automated Model Evaluation and Diagnostics System (AutoMEDS). This system performs both temporal correlation and quantile-quantile regressions to compute error statistics and evaluate model performance at the wind-sea and swell component level. The techniques are applied to assess the performance of an operational SWAN hindcast that has been in operation at USACE FRF since January 2007. The results are used to identify hindcast strengths and weaknesses and guide future developments.
… and forecasting & …, 2007
An instrumented model test bed, set up in coastal North Carolina, is employed to evaluate the per... more An instrumented model test bed, set up in coastal North Carolina, is employed to evaluate the performance of a regional SWAN application. The test bed includes an extensive ground-truth data archive, populated by wind and wave observing assets operated by the US Army Corps of Engineers Field Research Facility (USACE FRF), Coastal Ocean Research and Monitoring Program (CORMP), National Ocean Service, SouthEast U.S. Atlantic Coastal Ocean Observing System (SEACOOS) and the National Data Buoy Center (NDBC). The observations are compared to model predictions using the new Automated Model Evaluation and Diagnostics System (AutoMEDS). This system performs both temporal correlation and quantile-quantile regressions to compute error statistics and evaluate model performance at the wind-sea and swell component level. The techniques are applied to assess the performance of an operational SWAN hindcast that has been in operation at USACE FRF since January 2007. The results are used to identify hindcast strengths and weaknesses and guide future developments.
2009 WRI World Congress on Computer Science and Information Engineering, 2009
Numerical ocean wave models output a frequencydirection energy spectrum at each grid point in spa... more Numerical ocean wave models output a frequencydirection energy spectrum at each grid point in space and time over a defined domain (e.g. the Pacific Ocean). After identifying each wave component (wind-sea, young swell and mature swell) using a spectral partitioning technique, a spiral search algorithm is used to identify the different wave systems, which are a cluster of wave-components propagating from a common origin on the ocean. This spiral search algorithm is being tested on output from two different wave models: the NOAA National Center for Environmental Prediction (NCEP) WaveWatch III and the Delft near-shore wave model SWAN (Simulating WAve Near shore). The tracking algorithm, prototyped in Matlab, spirals once through the entire domain to identify existing wave systems. A second loop then combines neighboring wave systems initially separated by land. 2009 World Congress on Computer Science and Information Engineering 978-0-7695-3507-4/08 $25.00
… Workshop on Wave …, 2007
An instrumented model test bed, set up in coastal North Carolina, is employed to evaluate the per... more An instrumented model test bed, set up in coastal North Carolina, is employed to evaluate the performance of a regional SWAN application. The test bed includes an extensive ground-truth data archive, populated by wind and wave observing assets operated by the US Army Corps of Engineers Field Research Facility (USACE FRF), Coastal Ocean Research and Monitoring Program (CORMP), National Ocean Service, SouthEast U.S. Atlantic Coastal Ocean Observing System (SEACOOS) and the National Data Buoy Center (NDBC). The observations are compared to model predictions using the new Automated Model Evaluation and Diagnostics System (AutoMEDS). This system performs both temporal correlation and quantile-quantile regressions to compute error statistics and evaluate model performance at the wind-sea and swell component level. The techniques are applied to assess the performance of an operational SWAN hindcast that has been in operation at USACE FRF since January 2007. The results are used to identify hindcast strengths and weaknesses and guide future developments.
… and forecasting & …, 2007