Abstract: Very short-period quantitative precipitation forecast (QPF) or nowcast schemes provide deterministic output that fails to convey explicit measures of the uncertainty in the forecast. Presented here is a forecast methodology ...

Abstract: A qualitative examination of the spatial distribution of the maximum semiannual oscillation (SAO) amplitudes in the Northern Hemisphere (NH) extratropical 500-hPa height field suggests that the SAO has a very dominant ...

Abstract: Upper tropospheric and lower stratospheric wind data spanning 31 years from 1964 to 1994 were analyzed at rawinsonde stations in the central/western Pacific. Traditional spectral and cross-spectral analysis led to the ...

Abstract: Boundary value problems are ubiquitous in the atmospheric and ocean sciences. Typical settings include bounded, partially bounded, global, and limited area domains, discretized for applications of numerical models of the ...

Abstract: Tropical Pacific sea surface temperatures (SSTs) and the accompanying El Niño?Southern Oscillation phenomenon are recognized as significant components of climate behavior. The atmospheric and oceanic processes involved ...

Abstract: The interdecadal variation of precipitation along the U.S. Pacific coast over the past 45 winters (1950?94) was examined with station observations. An interdecadal decreasing (minor increasing) trend appeared north (south) ...

Abstract: Near-surface wind spectra are considered from three very different data sources, covering a range of spatial scales from 100 to 103 km. The data were observed during the Tropical Ocean Global Atmosphere Coupled Ocean?Atmosphere ...

Abstract: This work describes the application of a recently developed signal processing technique for identifying periodic components in the presence of unknown colored noise. Specifically, the application of this technique to the ...

Abstract: AbstractThis paper proposes new methodology for sequential state and parameter estimation within the ensemble Kalman filter. The method is fully Bayesian and propagates the joint posterior distribution of states and ...

Abstract: Parameterizations in numerical models account for unresolved processes. These parameterizations are inherently difficult to construct and as such typically have notable imperfections. One approach to account for this ...