Intercomparison of wind and wave data from the ECMWF Reanalysis Interim and the NCEP Climate Forecast System Reanalysis

Stopa, Justin E.; Cheung, Kwok Fai

doi:10.1016/j.ocemod.2013.12.006

Cited by 306 publications

(196 citation statements)

References 53 publications

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“…In spite of its relatively coarse resolution, since it is a global product, ERA-Interim is a dataset of superior quality, comparing very well with buoy observations. Additional details about the ERA-Interim reanalysis and its comparison with other global wave hindcasts can be found in [55,58] and [59], respectively.…”

Section: Buoy Datamentioning

confidence: 99%

“…The WAM partition scheme is rooted in the Pierson-Moskowitz spectrum [60,61], and based on the wave age parameter, being different from other partition schemes, like the one from [32] used in WW3 and CFSR [59]. The factor 28 corresponds to the peak wave phase speed from the Pierson-Moskowitz spectrum and 1.2 is a tuning parameter.…”

Section: Spectral Partition and Wave Parametersmentioning

confidence: 99%

“…There is an influx of southern hemisphere swells (not very high but very long; Figures 4d and 6d) that contribute to the higher levels of wave energy offshore Mauritania (Figure 8b). Although considerably less frequent and energized in JJA [2,7,59], extratropical storms are still the major source of wave energy carried by swell waves in the area. Wind sea wave power in summer is only present in the high wind-speed areas, in the northern part of the west Iberian coasts, and along the coasts of Morocco and Western Sahara.…”

Section: Wind Sea and Swell Wave Energymentioning

confidence: 99%

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Seasonal Variability of Wind Sea and Swell Waves Climate along the Canary Current: The Local Wind Effect

Semedo

2018

JMSE

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A climatology of wind sea and swell waves along the Canary eastern boundary current area, from west Iberia to Mauritania, is presented. The study is based on the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis ERA-Interim. The wind regime along the Canary Current, along west Iberia and north-west Africa, varies significantly from winter to summer. High summer wind speeds generate high wind sea waves, particularly along the coasts of Morocco and Western Sahara. Lower winter wind speeds, along with stronger extratropical storms crossing the North Atlantic sub-basin up north lead to a predominance of swell waves in the area during from December to February. In summer, the coast parallel wind interacts with the coastal headlands, increasing the wind speed and the locally generated waves. The spatial patterns of the wind sea or swell regional wave fields are shown to be different from the open ocean, due to coastal geometry, fetch dimensions, and island sheltering.

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Section: Buoy Datamentioning

confidence: 99%

Section: Spectral Partition and Wave Parametersmentioning

confidence: 99%

Section: Wind Sea and Swell Wave Energymentioning

confidence: 99%

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Seasonal Variability of Wind Sea and Swell Waves Climate along the Canary Current: The Local Wind Effect

Semedo

2018

JMSE

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“…• and temporal resolution of 6 h. ERAInterim underestimates the extreme wave conditions and has been documented by Stopa and Cheung (2014). Sanil observed that even though the H m0 values more than 3.5 m were underestimated by ERA-Interim data in the AS, Pearson's linear correlation coefficient (r) value for the H m0 was 0.96 with the measured data with bias value of −0.17 m, and the difference between the average value of the H m0 between the measured and ERA-Interim data was less (∼ 0.2 m).…”

Section: Methodsmentioning

confidence: 90%

“…Variability in wave climate to the large-scale atmospheric circulation patterns, referred to as teleconnection patterns (e.g. ENSO) are studied (Hemer et al, 2010;Stopa and Cheung, 2014;Anoop et al, 2016). The variability of wave heights in the North Atlantic are linked to the North Atlantic Oscillation (NAO) (Izaguirre et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Influence of Indian summer monsoon variability on the surface waves in the coastal regions of eastern Arabian Sea

Kumar

George

2016

Ann. Geophys.

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Abstract. We assess the influence of monsoon variability on the surface waves using measured wave data covering 7 years and reanalysis data from 1979 to 2015 during the Indian summer monsoon (JJAS) in the eastern Arabian Sea. The interannual comparison shows that the percentage of higher wave heights ( > 2.5 m) is higher (∼ 26%) in 2014 than in other years due to the higher monsoon wind speed (average speed ∼ 7.3 m s −1 ) in 2014. Due to the delayed monsoon, monthly average significant wave height (H m0 ) of June was lowest (∼ 1.5 m) in 2009. The spectral peak shifted to lower frequencies in September due to the reduction of wind seas as a result of decrease in monsoon intensity. The study shows high positive correlation (r ∼ 0.84) between average lowlevel jet (LLJ) for the block 0-15 • N, 50-75 • E and H m0 of eastern Arabian Sea in all the months except in August (r ∼ 0.66). The time series data on wave height shows oscillations with periods 5 to 20 days. Wavelet coherence analysis indicates that the LLJ and H m0 are in-phase related (phase angle 0 • ) almost all the time and LLJ leads H m0 . The monsoon seasonal anomaly of H m0 is found to have a negative relationship with the Oceanic Niño Index indicating that the monsoon average H m0 is relatively low during the strong El Niño years.

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Periodicity and patterns of ocean wind and wave climate

Stopa

Cheung

2014

JGR Oceans

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The Climate Forecast System Reanalysis (CFSR) provides a wealth of information spanning 1979-2009 for investigation of ocean wind and wave climate. Preprocessing of the data is necessary to remove the dominant seasonal signals and to create time series of semimonthly averaged wind speed and significant wave height over a 0.5 global grid. We perform an empirical orthogonal function (EOF) analysis to extract the dominant space-time patterns. The results for the three major ocean basins show strong zonal structures in the winds and saturation of the swells corroborating prior works with various data sets. We reexamine the CFSR data in the frequency domain to identify periodic signals associated with published climate indices. The Fourier transform of the preprocessed time series generates spectra ranging from 1 month to 15 years period for an EOF analysis. The results demonstrate the spatial structures and periods of climate phenomena. The Arctic Oscillation dominates the Atlantic basin with a broad range of intra-annual signals off the European coasts. The Indian and Pacific Oceans are strongly influenced by inter-annual cycles of the El Niño Southern Oscillation (ENSO) and the Antarctica Oscillation. The Indian Ocean also has strong intra-annual components ranging from 50 to 80 days period. The ENSO proves to be a ubiquitous signal around the globe, and in particular, saturates the Pacific with strong influences in the equatorial region and the Southern Hemisphere Westerlies. A commonality of all basins is that the magnitude and the spatial structure of the intra-annual and inter-annual signals are similar suggesting a wide range of periods in each of the climate cycles examined.

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Intercomparison of wind and wave data from the ECMWF Reanalysis Interim and the NCEP Climate Forecast System Reanalysis

Cited by 306 publications

References 53 publications

Seasonal Variability of Wind Sea and Swell Waves Climate along the Canary Current: The Local Wind Effect

Seasonal Variability of Wind Sea and Swell Waves Climate along the Canary Current: The Local Wind Effect

Influence of Indian summer monsoon variability on the surface waves in the coastal regions of eastern Arabian Sea

Periodicity and patterns of ocean wind and wave climate

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