Visually accurate multi-field weather visualization

Journal ArticleWeather visualization is a difficult problem because it comprises volumetric multi-field data and traditional surface-based approaches obscure details of the complex three-dimensional structure of cloud dynamics. Therefore, visually accurate volumetric multi-field visualization of storm scale and cloud scale data is needed to effectively and efficiently communicate vital information to weather forecasters, improving storm forecasting, atmospheric dynamics models, and weather spotter training. We have developed a new approach to multi-field visualization that uses field specific, physically-based opacity, transmission, and lighting calculations per-field for the accurate visualization of storm and cloud scale weather data. Our approach extends traditional transfer function approaches to multi-field data and to volumetric illumination and scattering

Efficient rendering of atmospheric phenomena

Journal ArticleRendering of atmospheric bodies involves modeling the complex interaction of light throughout the highly scattering medium of water and air particles. Scattering by these particles creates many well-known atmospheric optical phenomena including rainbows, halos, the corona, and the glory. Unfortunately, most radiative transport approximations in computer graphics are ill-suited to render complex angularly dependent effects in the presence of multiple scattering at reasonable frame rates. Therefore, this paper introduces a multiple-model lighting system that efficiently captures these essential atmospheric effects. We have solved the rendering of fine angularly dependent effects in the presence of multiple scattering by designing a lighting approximation based upon multiple scattering phase functions. This model captures gradual blurring of chromatic atmospheric optical phenomena by handling the gradual angular spreading of the sunlight as it experiences multiple scattering events with anisotropic scattering particles. It has been designed to take advantage of modern graphics hardware; thus, it is capable of rendering these effects at near interactive frame rates

UTV Tools:Matlab Templates for Rank-Revealing UTV Decompositions

We describe a Matlab 5.2 package for computing and modifying certain rank-revealing decompositions that have found widespread use in signal processing and other applications. The package focuses on algorithms for URV and ULV decompositions, collectively known as UTV decompositions. We include algorithms for the ULLV decomposition, which generalizes the ULV decomposition to a pair of matrices. For completeness a few algorithms for computation of the RRQR decomposition are also included. The software in this package can be used as is, or can be considered as templates for specialized implementations on signal processors and similar dedicated hardware platforms

UTV Tools:Matlab Templates for Rank-Revealing UTV Decompositions

published in Numerical Algorithms and the paper's text is reprinted here by kind permissio

A Method for Photoinitating Protein Folding in a Nondenaturing Environment

The early kinetic events of protein folding are an important part of the folding pathway, yet our understanding towards the process is limited. Information from the study of these early events can allow us to distinguish between the various models that have been proposed to describe the folding of a protein in real time. Unlike “typical” chemical kinetics with well-defined initial and final states, the initial state of a denatured protein is relatively ill-defined. This uncertainty introduces ambiguity in the interpretation of the experimental data on the early events in protein folding. Toward developing a unified theory of protein folding, it is necessary to begin the observation of the refolding process from a well-defined initial state, trigger folding as rapidly as possible, and to follow the protein in real time as it samples its conformational space over its highly complex free-energy landscape