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• W2059384906 abstract "The International Sulfur Deposition Model Evaluation (ISDME) assessed the performance of 11 regional, long-term deposition models in predicting amounts of sulfur wet deposition. With few exceptions, each model predicted air concentrations and dry/wet deposition amounts of SO2 and SO42− at up to 66 sites across eastern North America for each season of 1980. Unlike its predecessors, this evaluation focused on the ability of the models to replicate, within the uncertainty limits of the data, the magnitude and position of the seasonal spatial patterns of S wet deposition. Both the spatial patterns and the uncertainties arising from measurement and interpolation errors were determined by a simple Kriging technique. Model performance measures included the per cent of subrogions where interpolated predictions and observations were significantly different and differences between the magnitudes and locations of maxima, centroids and orientations of the major axes. When data uncertainty limits are considered, the seasonal predictions of one Lagrangian and two statistical models were insignificantly different from the seasonal observations (at approximately the 95% confidence level) across at least 85% of the evaluation region. Three other models performed relatively well for two or three seasons, while the performance of three others was somewhat erratic. The final two models significantly underpredicted for every season across at least 40% of the evaluation region. In spring, all of the models correctly predicted the location of the observed maximum amount of S wet deposition. For the other three seasons the models predicted the locations within 170–350 km. Except for summer, most models predicted the magnitude of the observed maximum within the data uncertainty limits." @default.
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• W2059384906 date "1989-01-01" @default.
• W2059384906 modified "2023-09-26" @default.
• W2059384906 title "The evaluation of long-term sulfur deposition models" @default.
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• W2059384906 doi "https://doi.org/10.1016/0004-6981(89)90189-3" @default.
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