Abstract: Synthetic monthly SST anomaly data are constructed using frequency domain analyses of significant principle components derived from reconstructed SST data in the equatorial Pacific Ocean. The model provides insight into ...

Abstract: The propagation of an isolated mesoscale eddy onto a western bounding topographic slope is examined through the use of a two-layer, primitive equation, numerical model. Variable parameters in the study are sense of rotation ...

Abstract: Wavelet analysis is a relatively new technique that is an important addition to standard signal analysis methods. Unlike Fourier analysis that yields an average amplitude and phase for each harmonic in a dataset, the wavelet ...

Abstract: An EOF-based reconstruction of monthly SST anomaly fields is calculated for the years 1868?1993 in the tropical Pacific Ocean. The EOFs are computed from optimally interpolated SST anomaly fields from November 1981 to ...

Abstract: A simple nonlinear numerical model of a well-mixed marine layer is used to study topographically forced mesoscale variability off coastal California. The model is used to simulate a persistent wind maximum observed near ...

Abstract: his study attempts to explain the considerable spatial heterogeneity in the observed linear trends of monthly mean maximum and minimum temperatures (Tmax and Tmin) from station observations in the southeastern (SE) United ...

Abstract: Variations in the thermocline depth of the northeast Pacific Ocean during 1970?1989 are investigated using a reduced-gravity numerical model forced by the local surface wind stress and at the southern land-ocean boundary ...

Abstract: An objective technique is used to create regularly gridded daily ?wind? fields from NASA scatterometer (NSCAT) observations for the Pacific Ocean north of 40°S. The objective technique is a combination of direct minimization, ...

Abstract: Solutions of some objective analysis techniques are known to depend upon the subjective values of internal parameters. The change in the solution per change in the parameter is the sensitivity. Parameters with low sensitivity ...