(2000) Generation of Simulated Daily Precipitation and Air and Soil Temperatures, January 2000. Iowa State University
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Abstract
This paper describes a maximum likelihood method using historical weather data to estimate a parametric model of daily precipitation and maximum and minimum air temperatures. Parameter estimates are reported for Brookings, SD, and Boone, IA, to illustrate the procedure. The use of this parametric model to generate stochastic time series of daily weather is then summarized. A soil temperature model is described that determines daily average, maximum, and minimum soil temperatures based on air temperatures and precipitation, following a lagged process due to soil heat storage and other factors.
| Item Type: | Departmental Report |
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| Keywords: | Air temperatures, maximum soil temperatures, minimum soil temperatures, parametric model, precipitation, soil heat storage, stochastic time series |
| Subjects: | Natural resources and environment > Environmental assessments Natural resources and environment > Ecology > Types of environments > Rural environments Natural resources and environment > Weather |
| ID Code: | 2864 |
| Deposited By: | Margaret Barr |
| Deposited On: | 12 Oct 2005 |
| Last Modified: | 12 Oct 2005 |
| URI: | https://publications.iowa.gov/id/eprint/2864 |