A method is proposed for simulating the monthly precipitation and monthly average temperature of air near the earth's surface. The proposed algorithm is based on the method of inverse functions. The climatic parameters used in simulations were derived from the UEA/CRU database. The method was applied to simulate time series of monthly precipitation and monthly average temperatures of air over a dry land territory with a spatial resolution of 0.5 × 0.5° in latitude and longitude. The time series of the climatic parameters obtained with the proposed stochastic generator appear statistically adequate to actual data series for any time interval in months and years.
|Number of pages||8|
|Journal||Izvestiya - Atmospheric and Oceanic Physics|
|Publication status||Published - 2002|
ASJC Scopus subject areas
- Atmospheric Science