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Measured and predicted air temperatures at basin to regional scales in the southern Appalachian mountainsAuthor(s): Paul V. Bolstad; Lloyd Swift; Fred Collins; Jacques Regniere
Source: Agricultural and Forest Meteorology. 91: 161-176.
Publication Series: Miscellaneous Publication
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DescriptionLandscape and temporal patterns of temperature were observed for local (13 station) and regional (35 station) networks in the Southern Appalachian mountains of North America. Temperatures decreased with altitude at mean rates of 7EC/km (maximum temperature) and 3EC/km (minimum temperature). Daily lapse rates depended on the method and stations used in the calculations. Average daily temperature ranges decreased as elevation increased, from 14EC at 700 m to 7EC at 1440 m, and daily temperature ranges were typically higher in spring and fall at any given station. Daily maximum temperatures above the forest canopy averaged 1.4EC higher at a south-facing station relative to a comparable northwest-facing station, and above-canopy daily minimum temperatures were depressed at a valley-bottom station. Regional regression models provided a more accurate estimate of station temperature than either kriging or local lapse models when tested using 35 National Climatic Data Center (NCDC) stations in the Southern Appalachians. Data-splitting tests yielded mean absolute errors (MAE) from 1.39 to 2.30EC for predictions of daily temperatures. Ten-year biases for an independent data set collected at four stations in the Coweeta Basin ranged from -2.87 to 2.91EC for daily temperatures, with regional regression performing best, on average. However, tests against another independent data set indicate regional regression and local lapse models were not significantly different, with mean biases averaged from -2.78 to 2.91EC for daily predicted temperatures.
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CitationBolstad, Paul V.; Swift, Lloyd; Collins, Fred; Regniere, Jacques. 1998. Measured and predicted air temperatures at basin to regional scales in the southern Appalachian mountains. Agricultural and Forest Meteorology. 91: 161-176.
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