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Record Search Query:
[ISO_Topic_Category='CLIMATOLOGY/METEOROLOGY/ATMOSPHERE']
Global TempSIM - Java Tool to Predict Maximum and Minimum Daily Air Temperatures for Any Location on the Globe
Entry ID: USDA_ARS_Global_TempSIM
Summary
Abstract:
The purpose of Global TempSIM tool is to estimate daily maximum and minimum air temperatures for a yearly cycle at any location on the globe. Global TempSIM predicts the daily average air temperature based upon 30-yr (1961 – 1990) temperature records that were compiled and interpolated by Legates and Willmott (1990a and 1990b) with further improvements by Willmott and Matsuura (1995) (data located at http://climate.geog.udel.edu/~climate/). Diurnal temperature ranges (TDTR) were interpolated from monthly averages from data collected 1961-1990 and cross-validated by New, et al. (1999). (Data located at: http://ipcc-ddc.cru.uea.ac.uk/ddc_visualisation.html).
[Summary provided by the USDA.]
Related URL
Multimedia Sample
Service Citation
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Access Constraints
User registration is required before downloading the tool/model.
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Publications/References
Legates, D. R. and C. J. Willmott (1990a) Mean Seasonal and Spatial Variability Global Surface Air Temperature. Theoretical and Applied Climatology , 41, 11-21.
Legates, D. R. and C. J. Willmott(1990b) Mean Seasonal and Spatial Variability in Gauge-Corrected, Global Precipitation. International Journal of Climatology, 10, 111-127. New, M., Hulme, M. and Jones, P.D., 1999: Representing twentieth century space-time climate variability. Part 1: development of a 1961-90 mean monthly terrestrial climatology. Journal of Climate 12, 829-856. Willmott, C. J. and K. Matsuura (1995) Smart Interpolation of Annually Averaged Air Temperature in the United States. Journal of Applied Meteorology, 34, 2577-2586.
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