A modeling insight into the transport of large dust particles
- 1National Observatory of Athens, Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, Penteli, Greece (eldrakaki@noa.gr)
- 2Department of Geography, Harokopion University of Athens (HUA), El. Venizelou Str. 70, 17671 Athens, Greece
- 3Research Centre for Atmospheric Physics and Climatology, Academy of Athens, Athens, Greece
- 4Department of Meteorology, University of Reading, Reading, RG6 6BB, UK
Mineral dust is an important component of the climate system, affecting radiation, cloud formation, biogeochemical cycles, as well as having negative effects on solar energy budget and human health. All these processes are affected from the size of the particles which is significantly underestimated by the Earth System Models. Here, we present results from a first attempt to modify the size distribution parameterizations in the GOCART-AFWA dust scheme of WRF - Chem, by including the large dust particles with diameters greater than 20 µm to describe the mineral dust cycle. The parameterization is based on Saharan dust observational datasets from FENNEC and SAMUM campaigns. We investigate the impact of the extended size distribution on the overall transported dust load and also the impact of particle settling considerations in deposition rates. The model results are compared with airborne dust measurements from AER-D campaign. In order to achieve the best agreement with the observations, an artificial force that counteracts gravity approximately by 80% for the large particles is needed, indicating the presence of one or more under-represented physical processes in the model.
Acknowledgment: This research was supported by D-TECT (Grant Agreement 725698) funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme.
How to cite: Drakaki, E., Tsekeri, A., Amiridis, V., Solomos, S., Gkikas, A., Proestakis, E., Spyrou, C., Mallios, S., Marinou, E., Ryder, C. L., and Katsafados, P.: A modeling insight into the transport of large dust particles, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-7374, https://doi.org/10.5194/egusphere-egu21-7374, 2021.