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.

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surface concentration measurements reanalysis data time varying dust lundpotsdamjena dynamic global vegetation model sitch et al 2003 threshold friction vegetation offline dust cycle model subcloud scavenging schemes soil snow depth tuning tomcat chemical transport model gcm derived fields

D. J. Lunt,S. Shannon,.A new dust cycle model with dynamic vegetation: LPJ-dust version 1.0. 3 (2),.

D. J. Lunt,S. Shannon,"A new dust cycle model with dynamic vegetation: LPJ-dust version 1.0" 3

D. J. Lunt,S. Shannon,"A new dust cycle model with dynamic vegetation: LPJ-dust version 1.0"