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Evaluation and Intercomparison of Five North American Dry Deposition Algorithms at a Mixed Forest Site

机译:混合林场中五种北美干沉降算法的评估和比较

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摘要

To quantify differences between dry deposition algorithms commonly used in North America, five models were selected to calculate dry deposition velocity (Vd) for O3 and SO2 over a temperate mixed forest in southern Ontario, Canada, where a 5-year flux database had previously been developed. The models performed better in summer than in winter with correlation coefficients for hourly Vd between models and measurements being approximately 0.6 and 0.3, respectively. Differences in mean Vd values between models were on the order of a factor of 2 in both summer and winter. All models produced lower Vd values than the measurements of O3 in summer and SO2 in summer and winter, although the measured Vd may be biased. There was not a consistent tendency in the models to overpredict or underpredict for O3 in winter. Several models produced magnitudes of the diel variation of Vd (O3) comparable to the measurements, while all models produced slightly smaller diel variations than the measurements of Vd (SO2) in summer. A few models produced larger diel variations than the measurements of Vd for O3 and SO2 in winter. Model differences were mainly due to different surface resistance parameterizations for stomatal and nonstomatal uptake pathways, while differences in aerodynamic and quasi-laminar resistances played only a minor role. It is recommended to use ensemble modeling results for ecosystem impact assessment studies, which provides mean values of all the used models and thus can avoid too much overestimations or underestimations.
机译:为了量化北美地区常用的干沉降算法之间的差异,选择了五个模型来计算加拿大安大略省南部温带混交林中O3和SO2的干沉降速度(Vd),以前该数据库历时5年。发达。在夏季比冬季,模型的性能要好,模型与测量值之间每小时Vd的相关系数分别约为0.6和0.3。在夏季和冬季,模型之间的平均Vd值差异约为2倍。所有模型产生的Vd值均低于夏季测量的O3和夏季和冬季测量的SO2的值,尽管测量的Vd可能会有偏差。模型中没有一致的趋势来预测冬季O3的过高或过低。几个模型产生的Vd(O3)的狄尔变化幅度与测量值相当,而所有模型产生的夏季Vd(SO2)的狄尔变化幅度稍小。一些模型产生的diel变化大于冬季测量O3和SO 2 的Vd值。模型差异主要是由于气孔和非气孔吸收途径的表面电阻参数设置不同,而空气动力学和准层流阻力的差异仅起较小作用。建议将集合建模结果用于生态系统影响评估研究,该结果可提供所有使用模型的均值,从而可以避免过高或过低的估计。

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