Every year thousands of tonnes of mineral dust particles are uplifted from arid regions by strong winds. While in the atmosphere, mineral dust is a hazard for health, transport and solar energy generation. Dust affects climate by interacting with clouds, radiation and other aerosols and altering the earth’s energy balance. In dusty regions such as North Africa and the tropical North Atlantic, dust has been shown to influence the West African Monsoon and Atlantic hurricane development. Dust forms an important climate feedback within the earth system: emissions are driven by land-surface and atmospheric factors, whilst airborne it impacts on the atmosphere, and through deposition it provides a nutrient source to oceanic and terrestrial biogeochemical systems.
Almost all dust processes are highly size dependent, and a realistic representation of the size distribution is critical for the simulation of the dust atmospheric lifecycle. However, models struggle to represent the evolution of dust size distributions. Processes such as triboelectric charging and non-sphericity have recently been shown to be important, yet are not included in dust models. This has knock-on effects on the ability of dust models to accurately represent the impact of dust on human health, infrastructure, weather and climate.
Previously large dust particles (>10 microns) were not thought to be transported over continental distances, and until recently there have been limitations in measuring the larger parts of the size range. However, in the past ten years aircraft observations have utilized new technology to measure the full size range of dust, overcoming previous limitations. Aircraft missions have sampled dust over critical stages of the dust lifecycle, including FENNEC near north African sources, AER-D in the west Atlantic and SALTRACE in both east and west Atlantic. These observations have shown that the presence of large dust particles is universal (Ryder et al., 2019), yet we do not fully understand their transport processes (van der Does, 2018).
The aim of this studentship is to use the newly published aircraft observations to investigate the effect of deposition and transport processes on the dust size distribution, thereby improving our understanding of dust physics and microphysics. This will be done within the framework of the Met Office Unified Model (UM). Whilst the UM includes large dust particles, until now it has not been possible to determine how well they are represented. Now that observations exist for the full dust size range across a series of stages across the dust life cycle, there is an exciting opportunity to be exploited in order to improve our understanding of dust transport for the first time. The studentship is supported by CASE sponsorship from the UK Met Office and linked to the ACSIS (North Atlantic Climate System Integrated Study) project, since dust transport is important in influencing Atlantic sea surface temperatures.
Initially, the student will use observational aircraft data to evaluate dust in a climate model simulation. Secondly, the contribution of various different processes to the evolution of dust size distribution across the Atlantic will be assessed by disabling each existing model process (e.g. sedimentation, convection) in turn, and by introducing novel processes such as the effects of non-sphericity and of triboelectric charging. Key processes would then be selected for more detailed investigation, using either the UM or a box model, with the aim of understanding the causes of size biases and identifying potential improvements. Finally, recommended developments would be tested on a global scale over climate timescales. The aim is to include any improvements in a future model version and they would also be directly applicable in other model configurations such as the UK Earth System Model or numerical weather prediction. This will deliver fundamental improvements to our understanding of dust transport and representation of dust in weather and climate models.
The student will receive training from experts in handling and applying aircraft observations and in running and modifying a large climate model. The student will spend at least 3 months at the Met Office throughout the PhD as part of the CASE award.
The studentship is linked to the ACSIS project and the student will participate in ACSIS workshops and collaborate with ACSIS researchers.
Applicants should hold or expect to gain a minimum of a 2:1 Bachelor Degree, Masters Degree with Merit, or equivalent in (ideally) physics, mathematics or a closely related environmental or physical science. The student should have an interest in climate and aerosols. Experience of using aerosol and/or climate models would be an advantage.
This project is potentially funded by the Scenario NERC Doctoral Training Partnership, subject to a competition to identify the strongest applicants.
This project has CASE funding from The Met Office.
Due to restrictions on the funding this studentship is open to UK students and EU students who have lived in the UK for the past three years. The DTP can only fund a very limited number of international students, so only applications from international students with an outstanding academic background placing them in the top 10% of their cohort will be considered.
van der Does, M., Knippertz, P., Zschenderlein, P., Harrison, R. G., and Stuut, J. B. W.: The mysterious long-range transport of giant mineral dust particles, Sci Adv, 4, 10.1126/sciadv.aau2768, 2018.
Mahowald, N. et al.: The size distribution of desert dust aerosols and its impact on the Earth system, Aeolian Research, doi: https://doi.org/10.1016/j.aeolia.2013.09.002, 15, 53-71, 2014.
Ryder, C. L., Highwood, E. J., Walser, A., Seibert, P., Philipp, A., and Weinzierl, B.: Coarse and Giant Particles are Ubiquitous in Saharan Dust Export Regions and are Radiatively Significant over the Sahara, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-421, accepted, 2019.
How good is research at University of Reading in Earth Systems and Environmental Sciences?
FTE Category A staff submitted: 75.68
Research output data provided by the Research Excellence Framework (REF)
Click here to see the results for all UK universities