Modeling near-surface air temperature from solar radiation and lapse rate: new development on short-term monthly and daily approach
Huang, S., Connaughton, Z., Potter, C.S., Genovese, V., Crabtree, R.L., Fu, P.
Physical Geography, Vol. 30 Issue 6 pp. 517-527
Short-term monthly mean temperature (Tm ) and short-term daily mean temperature (Td ) rather than long-term monthly and daily mean temperature (Tm and Td ) are preferred for some ecosystem studies such as carbon source and sink, pine beetle mortality, and snow melting. The recent progress of modeling Tm and Td(based on the previous work on Tm ) supported by climatologically aided interpolation (CAI) is reported over the mountainous Yellowstone National Park. With the spatial scale of a 30 m digital elevation model (DEM), the slope, aspect, and shadows cast by surrounding topography, which could not be well captured by very coarse DEM, could be taken into account. Data from 12 months (Jan-Dec 2008) and 12 dates (25 Jan-Dec 2008) were used to demonstrate the approach. Inverse distance weighting (IDW) interpolations of limited temperature anomalies were adopted to represent the deviations from normality. Tm , as a preexisting climatology surface, was added to deviations in order to model Tm . Linear temporal interpolation of adjacent Tm was used to create a climatology surface, which was then added to deviations in order to model Td . Results show the mean absolute errors (MAEs) for Tm ranged from 0.75° C to 1.78° C, while the MAEs for Tdranged from 1.14° C to 2.02° C. The four factors of elevation, seasonal change of lapse rate, temperature difference caused by variation in solar radiation, and preexisting climatology surface for the CAI approach were comprehensively considered in this approach.