Project Details
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Development of a Dust-Iron Modeling System and a Benchmarking Regional Dust-Iron Budget Study

Subject Area Atmospheric Science
Term from 2013 to 2018
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 237553958
 
Final Report Year 2019

Final Report Abstract

The aims of the project are to develop a regional model for dust-iron modelling and carry out high-resolution simulation over Australia and use the results as benchmark for global dust-iron budget estimates. Most of the planned research activities are completed. These include (1) Establishment of a surface dust-iron data base for the Australian continent and a methodology for similar work applicable to other continents; (2) Development of a module for dust-iron emission in the WRF (Weather Research and Forecast) model framework. It is now built in WRF and made available to other researchers; (3) Development of dust-iron transport modules in WRF, for example, a dust-iron wet deposition scheme which was missing in WRF but necessary for our study; (4) Establishment and testing of a dust-iron ensemble modelling procedure; (5) Process of ground-based dust-iron measurements obtained from the Australian DustWatch network.

Publications

  • 2015: A numerical study on dust devil dust transport: Implications to regional and global dust budget estimates. AGU Fall Meeting
    M Klose, Y Shao
  • 2016: A note on the stochastic nature of particle cohesive force and implications to threshold friction velocity for aerodynamic dust entrainment. Aeolian Research 22, 123-125
    Y Shao and M Klose
    (See online at https://doi.org/10.1016/j.aeolia.2016.08.004)
  • 2016: A numerical study on dust devils with implications to global dust budget estimates. Aeolian research 22, 47-58
    Klose M and Y Shao
    (See online at https://doi.org/10.1016/j.aeolia.2016.05.003)
  • 2018: A simulation study of dust-borne iron transport during the Australian ‚red dawn event in 2009. EGU General Assembly Conference Abstracts 20, 19104
    Ulbrich S, S Albani, S Heidenreich, J F Leys and Y Shao
 
 

Additional Information

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