| Abstract: | Investigating natural, potential, and human-induced impacts on hydrologic systems commonly requires complex modeling with overlapping data requirements, plus massive amounts of one- to four-dimensional data at multiple scales and formats. Given the complexity of most hydrologic studies, the requisite software infrastructure must incorporate many components including simulation modeling and spatial analysis with a flexible, intuitive display. Integrating geographic information systems (GIS) and scientific visualization systems (SVS) provides such an infrastructure. This paper describes an integrated system consisting of an orographic precipitation model, a GIS, and an SVS. The results of this study provide a basis for improving the understanding of hydro-climatic processes in mountainous regions. An additional benefit of the integrated system, the value of which is often underestimated, is the improved ability to communicate model results, leading to a broader understanding of the model assumptions, sensitivities, and conclusions at a management level.Investigating natural, potential, and human-induced impacts on hydrologic systems commonly requires complex modeling with overlapping data requirements, plus massive amounts of one- to four-dimensional data at multiple scales and formats. Given the complexity of most hydrologic studies, the requisite software infrastructure must incorporate many components including simulation modeling and spatial analysis with a flexible, intuitive display. Integrating geographic information systems (GIS) and scientific visualization systems (SVS) provides such an infrastructure. This paper describes an integrated system consisting of an orographic precipitation model, a GIS, and an SVS. The results of this study provide a basis for improving the understanding of hydro-climatic processes in mountainous regions. An additional benefit of the integrated system, the value of which is often underestimated, is the improved ability to communicate model results, leading to a broader understanding of the model assumptions, sensitivities, and conclusions at a management level. |
| Genre: | Article |
| ProdID: | 70018667 |
| Citation Author: | Hay, L. E.; Knapp, L. K. |
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| Citation End Page: | 369 |
| Citation Issue: | 2 |
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| Citation Language: | English |
| Citation Larger Work Title: | Water Resources Bulletin |
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| Citation Number Of Pages: | 13 |
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| Citation Publisher: | American Water Resources Assoc |
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| Citation Search Results Text: | Integrating a geographic information system, a scientific visualization system, and a precipitation model; 1996; Article; Journal; Water Resources Bulletin; Hay, L. E.; Knapp, L. K. |
| Citation Start Page: | 357 |
| Citation Volume: | 32 |
| Citation Year: | 1996 |
| Type: | citation/reference |
| Text: | Integrating a geographic information system, a scientific visualization system, and a precipitation model; 1996; Article; Journal; Water Resources Bulletin; Hay, L. E.; Knapp, L. K. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| URL (DIGITAL OBJECT IDENTIFIER): | http://dx.doi.org/10.1111/j.1752-1688.1996.tb03458.x |
| Date Other: | Mon, 1 Jan 1996 00:00 -0600 |
| Publisher: | American Water Resources Assoc |
