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- W2182639888 abstract "Step-wise linear regression methods are employed to yield a whole-year forecast of the monthly averaged daily maximum temperature (TMAX) in Bowling Green, Ohio, from Sea Surface Tempemture Anomalies (SSTA) measured in the previous year by the AWHR satellite sensor package over a region in the eastern Pacific Ocean. The forecasts for 1996-1 999 were less accumte on an absolute basis than on a seasonal basis, predicting ru~x on the same side of the seasonal average as actual TMAX for 7 months in 1996,10 months in 1997,10 months in 1998, and 5 of 7 months for which data are available in 1999. Improvement in forecast results occurred when models were constrained to those that definitively passed the DurbinWatson statistical test for autocorrelation. Models produced with this method can only be applied to the area from which the TMAX data were recorded, but they are much simpler than models that simulate the physics of the atmosphere." @default.
- W2182639888 created "2016-06-24" @default.
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- W2182639888 date "2000-01-01" @default.
- W2182639888 modified "2023-09-24" @default.
- W2182639888 title "Forecasts of monthly averaged daily temperature highs in Bowling Green, Ohio from monthly Sea surface temperature anomalies in the Eastern Pacific Ocean during the previous year" @default.
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