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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 the Lund-Potsdam-Jena dynamic global vegetation model (Sitch et al., 2003) to calculate time varying dust sources. Surface emissions are calculated by simulating the processes of saltation and sandblasting using an existing model (Tegen et al., 2002). Dust is transported using the TOMCAT chemical transport model (Chipperfield, 2006). Dust particles are removed from the atmosphere by dry deposition and sub-cloud scavenging. The model is designed so that it can be driven using reanalysis data or GCM derived fields. To improve the performance of the model, threshold values for vegetation cover, soil moisture, snow depth and threshold friction velocity, used to determine surface emissions are tuned. The effectiveness of three sub-cloud scavenging schemes are also tested. An ensemble of tuning experiments are evaluated against dust deposition and surface concentration measurements.
机译:本文提出了一个新的离线尘埃循环模型,该模型使用Lund-Potsdam-Jena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)。灰尘是使用TOMCAT化学传输模型传输的(Chipperfield,2006年)。通过干法沉积和清除亚云将灰尘颗粒从大气中清除。该模型的设计使其可以使用重新分析数据或GCM派生字段进行驱动。为了改善模型的性能,调整了用于确定表面排放的植被覆盖,土壤湿度,雪深和阈值摩擦速度的阈值。还测试了三种子云清除方案的有效性。针对粉尘沉积和表面浓度测量评估了一组调谐实验。

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