Development of 21st Century Regional Climate Services
Abstract
Alex Wiggins - Oregon State University - wigginal@engr.oregonstate.edu Mike Bailey - Oregon State University - mjb@eecs.oregonstate.edu Kathie Dello - Oregon Climate Change Research Institute - kdello@coas.oregonstate.edu Phil Mote - Oregon State University - pmote@coas.oregonstate.edu State climate offices respond frequently to requests regarding past events and current weather with its long-term context. Answering some of these requests may require examining many different sources of data, some quite voluminous. The general public and media, however, are not interested in huge amounts of data or spending the time sifting through it; they only want the information they requested and they usually want it immediately. Our Regional Climate Services (RCS) project was developed as a solution to thinly funded state climate offices to allow users to visualize and explore many different data sets at any time without using the resources of the climate offices. The developed web application for the RCS project currently tries to balance the need for vast amounts of data to be able to compare all facets of the data sets, with tools to pre-process and compress the information to quickly deliver informative content to users and maintain an excellent experience. RCS employs the use of prefetching of data for user experience, pre-processing of tiled images and data comparisons, memory caching server side, and data manipulation client side using shaders and the gpu for data culling and scaling to give clients a great experience and limit the amount of data transfer and recalculation from the server. Allowing the client to do data manipulation client side we are saving terabytes of preprocessed images and data that would have to be stored to maintain the user experience as well as allowing them to create useful visualizations and explore the data sets completely.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2011
- Bibcode:
- 2011AGUFMIN41A1390W
- Keywords:
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- 0430 BIOGEOSCIENCES / Computational methods and data processing;
- 0500 COMPUTATIONAL GEOPHYSICS