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A new dust cycle model with dynamic vegetation: LPJ-dust version 1.0

机译:具有动态植被的新粉尘循环模型:LPJ-dust版本1.0

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This paper presents a new offline dust cycle model which uses theLund-Potsdam-Jena dynamic global vegetation model (Sitch et al., 2003) tocalculate time varying dust sources. Surface emissions are calculated bysimulating the processes of saltation and sandblasting using an existingmodel (Tegen et al., 2002). Dust particles are transported using the TOMCATchemical transport model (Chipperfield, 2006). Dust particles are removed from theatmosphere by dry deposition and sub-cloud scavenging. The model is designedso that it can be driven using reanalysis data or GCM derived fields.To improve the performance of the model, threshold values for vegetationcover, soil moisture, snow depth and threshold friction velocity, used todetermine surface emissions are tuned. The effectiveness of three sub-cloudscavenging schemes are also tested. An ensemble of tuning experiments areevaluated against dust deposition and surface concentration measurements.Surface emissions which produce the best agreement with observations rangefrom 1600 to 2400 Mtyr?1.
机译:本文提出了一种新的离线尘埃循环模型,该模型使用了隆德-波茨坦-耶拿动态全球植被模型(Sitch等,2003)来计算随时间变化的尘埃源。通过使用现有模型模拟盐化和喷砂过程来计算表面排放(Tegen等,2002)。使用TOMCATchemical传输模型(Chipperfield,2006)传输灰尘颗粒。通过干法沉积和清除云层将尘埃颗粒从大气层中清除。设计该模型以便可以使用重新分析数据或GCM派生字段来驱动该模型。 为了提高模型的性能,植被覆盖的阈值,土壤湿度,雪深和阈值摩擦速度用于确定表面排放被调整。还测试了三种子除云方案的有效性。对粉尘沉积和表面浓度的测量结果进行了一系列调谐实验的评估。与观测值产生最佳一致性的表面排放范围为1600至2400 Mtyr ?1

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