Spatial Variability and Interpolation of Stochastic Weather Simulation Model Parameters
| Autor: | Gregory L. Johnson, Christopher Daly, Clayton L. Hanson, George H. Taylor |
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| Rok vydání: | 2000 |
| Předmět: | |
| Zdroj: | Journal of Applied Meteorology. 39:778-796 |
| ISSN: | 1520-0450 0894-8763 |
| DOI: | 10.1175/1520-0450(2000)039<0778:svaios>2.0.co;2 |
| Popis: | The spatial variability of 58 precipitation and temperature parameters from the “generation of weather elements for multiple applications” (GEM) weather generator has been investigated over a region of significant complexity in topography and climate. GEM parameters were derived for 80 climate stations in southern Idaho and southeastern Oregon. A technique was developed and used to determine the GEM parameters from high-elevation snowpack telemetry stations that report precipitation in nonstandard 2.5-mm (versus 0.25 mm) increments. Important dependencies were noted between most of these parameters and elevation (both domainwide and local), location, and other factors. The “parameter-elevation regressions on independent slopes model” (PRISM) spatial modeling system was used to develop approximate 4-km gridded data fields of each of these parameters. A feature was developed in PRISM that models temperatures above and below mean inversions differently. Examples of the spatial fields derived from th... |
| Databáze: | OpenAIRE |
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