Abstract: In this paper the evaluation of very simple approaches to delineate the rain area from satellite imagery is assessed in terms of single thresholding. Results and comparison with other more complicated techniques indicate ...

Abstract: This study employs principal component analysis to correct tropical precipitation estimates in the University of Wisconsin?Milwaukee (UWM)/Comprehensive Ocean?Atmosphere Dataset (COADS) data. The idea was to use a matrix ...

Abstract: Correction to Volume 73, Issue 1, Article 49.

Abstract: Ensemble prediction has become an indispensable tool in weather forecasting. One of the issues in ensemble prediction is that, regardless of the method, the prediction error does not map well to the underlying physics ...

Abstract: Recent studies have shown how concepts from information theory can be applied to climate models to better understand the problem of climate prediction. This paper describes how information theory, specifically the concept ...

Abstract: Some of the basic principles of the theory of dynamical systems are presented, introducing the reader to the concepts of chaos theory and strange attractors and their implications in meteorology. New numerical techniques ...

Abstract: We present a brief overview of some new methodologies for making predictions on time-series data. These ideas stern from two rapidly growing fields: nonlinear dynamics (choas) theory and parallel distributed processing. ...

Abstract: Using satellite and weather radar data, a simple clustering analysis has been used in order to differentiate between raining and nonraining clouds. Based on these results, a scheme is proposed for instantaneous rain area ...

Abstract: The aircraft measurements from the HIPLEX-1 weather modification experiment have been examined to determine if the nature of the change of liquid water content (LWC) in the supercooled portion of the clouds can be simply ...