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 tran...
In this study, a newly developed method, termed moving empirical orthogonal function analysis (MEOF)...
We apply spectral empirical orthogonal function (SEOF) analysis to educe climate patterns as dominan...
We investigate regional and global-scale correlations between observed anomalies in sea surface temp...
Ph.D. University of Hawaii at Manoa 2013.Includes bibliographical references.Wind-generated waves pr...
In the present work, the global wind and wave climate is studied on the basis of two well-known rean...
Understanding long-term, ocean wave climate variability is important to assess climate change impact...
Time series of monthly sea-surface temperature (SST), air temperature (AT) and sea level pressure (S...
International audienceWave hindcasts of long time series (>30 years) have been instrumental in under...
Wave hindcasts of long time series (> 30 years) have been instrumental in understanding the wave cli...
Our understanding of the seasonal variability in the global wind wave field is revisited here using ...
In this study, we analyse the influence of the Pacific South American modes (PSA‐1 and PSA‐2) on the...
This article examines the time–space evolution of the El Niño-Southern Oscillation (ENSO) signal in...
Climate variability has an effect on sea level on a global scale. There are decadal impacts of sea l...
We have applied a number of objective statistical techniques to define homogeneous climatic regions ...
Through a cluster analysis of daily NCEP-NCAR reanalysis data, this study demonstrates that the Arct...
In this study, a newly developed method, termed moving empirical orthogonal function analysis (MEOF)...
We apply spectral empirical orthogonal function (SEOF) analysis to educe climate patterns as dominan...
We investigate regional and global-scale correlations between observed anomalies in sea surface temp...
Ph.D. University of Hawaii at Manoa 2013.Includes bibliographical references.Wind-generated waves pr...
In the present work, the global wind and wave climate is studied on the basis of two well-known rean...
Understanding long-term, ocean wave climate variability is important to assess climate change impact...
Time series of monthly sea-surface temperature (SST), air temperature (AT) and sea level pressure (S...
International audienceWave hindcasts of long time series (>30 years) have been instrumental in under...
Wave hindcasts of long time series (> 30 years) have been instrumental in understanding the wave cli...
Our understanding of the seasonal variability in the global wind wave field is revisited here using ...
In this study, we analyse the influence of the Pacific South American modes (PSA‐1 and PSA‐2) on the...
This article examines the time–space evolution of the El Niño-Southern Oscillation (ENSO) signal in...
Climate variability has an effect on sea level on a global scale. There are decadal impacts of sea l...
We have applied a number of objective statistical techniques to define homogeneous climatic regions ...
Through a cluster analysis of daily NCEP-NCAR reanalysis data, this study demonstrates that the Arct...
In this study, a newly developed method, termed moving empirical orthogonal function analysis (MEOF)...
We apply spectral empirical orthogonal function (SEOF) analysis to educe climate patterns as dominan...
We investigate regional and global-scale correlations between observed anomalies in sea surface temp...