HR: 1340h
AN: GC13A-0947    [Abstracts]
TI: South Dakota Regional Diversity of Air Temperature Regime: System Analysis of Empirical Data
AU: * Shmagin, B
EM: boris.shmagin@sdstate.edu
AF: South Dakota State University, Ag Engineering 211 Box 2120, Brookings, SD 57007, United States
AB: The regional diversity of monthly temperatures were analyzed based on long-term data obtained for South Dakota (SD) from the High Plains Regional Climate Center. System hierarchical model of landscape (Krcho, 1990) was used for research tasks formulation. Initial matrixes for three tasks were compiled for the state. The first set of initial matrices of time series Xt*n, where t = number of years and n = number of meteorological stations, contains three matrixes: X(67*29), X(57*58)and X(33*94). The second set - Xt*m, where t = number of years and m = number of months in a year: X(113*12), X(110*12), and X(102*12). The third set - Xn*m, where n = number of meteorological stations and m = number of months in a year, contains two matrixes: X(29*12) and X(94*12). Factor analysis was used and the models of regional regime air temperatures have known and high (87 and 91%) representation of a variability of the initial matrix, while the models for seasonal regime have lower representation (60 and 61%). The models for distributions of average monthly temperatures have the highest representation of variability in the initial matrix (94 and 97%). Statistical analysis allowed us to differentiate between weather stations by temporal trends and spatial distribution during the time intervals 1932-1998, 1949- 2005 and 1963-1995. The most variable stations (Brookings, Camp Crook, and Highmore) were determined for the longest time interval 1932-1998. Their seasonality was described (the most variable months and correlation among months during the year); and their annual and seasonal regimes were determined and described with the use of simplified Fourier analysis. The average annual and monthly temperature distributions were presented for SD based on 29 (1932-1998) and 94 stations (1963-1995). Spatial temporal regimes of monthly air temperatures for SD on basis of analyzing existing empirical data has to be regarded as a multidimensional process with cyclic positive and negative trends as well as fuzzy regional boundaries of units with different regimes. The obtained result may have immediate application for developing a climatic monitoring network in SD and establishing a plan for regional drought research in SD to help in understanding the bigger picture of monthly and annual air temperatures regimes in SD and their connection to global and continental temperatures.
DE: 1616 Climate variability (1635, 3305, 3309, 4215, 4513)
DE: 1637 Regional climate change
DE: 3205 Fourier analysis (3255)
DE: 3270 Time series analysis (1872, 4277, 4475)
SC: Global Environmental Change [GC]
MN: 2007 Fall Meeting