The weather forecast centers work with a great volume of complex multivariate data, which usually have to be interpreted within short time. Scientific visualization techniques can be used to support both daily forecasting and meteorological research. This work reports the architecture and facilities of a system designed to support daily tasks and long-term research conducted by meteorologists at the 8 th Meteorological District, in South of Brazil. The tasks of meteorologists and the classes of application data were observed to define system requirements. System architecture and implementation follow a tool-oriented approach and the object-oriented programming paradigm, respectively. The tool-oriented approach is briefly described. The paper also discusses the results of applying the multiquadric method to interpolate data for the construction of contour maps. 1 INTRODUCTION Despite the great interest in understanding meteorological phenomena, meteorology is a new science. Because of...

Many approaches to analog performance parameter macro modeling have been investigated by the research community. These models are typically derived from discrete data obtained from circuit simulation using numerous input combinations of component sizes for a given circuit topology. The simulations are computationally intensive, therefore it is advantageous to reduce the number of simulations necessary to build an accurate macro model. We present a new algorithm for adaptively sampling multi-dimensional black box functions based on Duchon pseudo-cubic splines. The splines readily and accurately model high dimensional functions based on discrete unstructured data and require no tuning of parameters as seen in many other interpolation methods. The adaptive sampler, in conjunction with pseudo-cubic splines, is used to accurately model various analog performance parameters for an operational amplifier topology using fewer sample points than traditional gridded and quasi-random sampling methodologies.

inate (x,y,z). The vertices also have associated scalar and vector data (e.g., density, momentum, energy) which are produced during the numerical simulation. Uniform Grids Uniform grids have a rectangular lattice of points that lie in planes parallel to the Cartesian coordinate system (x,y,z) and are equally spaced in every direction. All the cells are cubes. Rectilinear Grids The vertices in rectilinear grids also lie in planes parallel to the Cartesian coordinate system, but the spacing between the points may vary along the coordinate axes. The cells are parallelepipeds. Curvilinear Grids Curvilinear grids are the most common form of meshes used in CFD simulations and are built up entirely of hexahedral cells. These grids can be warped around structures (e.g. wings) and are sometimes called body fitted coordinate grids. Although they are not uniformly spaced like rectilinear grids, they are still structured; each cell, and each grid

Weather forecast centers usually deal with a great volume of complex multivariate data, which usually have to be interpreted within short time. Tools that use scientific visualization techniques can be a great help providing support for both daily forecasting and meteorological research. This work presents a collection of tools designed primarily to aid the daily tasks of meteorologists from the 8 Meteorological District, in the South of Brazil. The tasks of meteorologists and the classes of application data were observed to define tools requirements. System architecture and implementation follow a tool-oriented approach and the object-oriented programming paradigm, respectively. Current implementation provides mapping tools, that generate contour plots, icons maps, and a variety of graphs; recording tools, that allow to save and load images generated by the system; and a query tool, to read variables' values at selected meteorological stations.