| Gustrowsky, Jeremy | |
Abstract Jeremy Gustrowsky, University of North Carolina at Asheville As a student employee at the National Climatic Data Center, most of my time has been spent extending the Climate Visualization (CLIMVIS) system. CLIMVIS is a system that allows world wide web users to dynamically create data plots of various kinds of weather data (drought, precipitation, temperature, snowfall, etc.) My contribution consisted of two CGI programs that made available temperature and precipitation data collected by the Global Historical Climatological Network (GHCN), a network of weather stations participating in the collection and archiving of weather data from different locations around the globe. Although both of the CGIs I wrote are working well, they each have limitations. First of all the user has to visit separate pages to access them. Secondly, the user interface consists of the user making selections and calling the CGI repeatedly to generate pages with new selections before the GIF image of the data plot can be created. This causes extra processes on the server and makes the interface inflexible and inefficient. Most of all, the data the images are created from consists of a series of very small ASCII files stored in an intricate directory structure. This does not pose a problem for the precipitation CGI, but it is a major difficulty for the temperature CGI because it will eventually require regular updates ? a most daunting task under the current scheme. My approach for a new solution to these problems consisted of three parts:
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