About the Project
Aerosols play a critical role in determining cloud formation and their resulting radiative properties by acting as cloud condensation nuclei (CCN), which provide seeding sites for available water vapor to condense onto, and ice nucleating particles (INP), which modulate the formation of ice in clouds. Yet, aerosol-cloud interactions, especially in regards to clouds that are comprised of both ice and supercooled liquid water (i.e., mixed-phase clouds), remain one of the greatest sources of uncertainty in weather and climate models despite the fact that decades of laboratory experiments, observations, modelling, and analysis have contributed to the state-of-the-art knowledge.
This project aims to reduce this uncertainty by exploring aerosol-cloud interactions in one of the remaining under-explored frontiers in atmospheric science. In this project, you will use advanced remote sensing technology (i.e. radar and lidar) in combination with a suite of other ground-based sensors based at Summit, Greenland (at the top of the Greenland Ice Sheet, hereafter GrIS) and state-of-the-art numerical weather and climate models to explore the role aerosol play in modulating the existence and properties of clouds over the GrIS. Using this new understanding, the impact of changes in aerosol over the GrIS in the past and future will be quantified.
As part of this project, there is an opportunity to travel Greenland to get hands-on field experience and make personal observations in this unique environment.
Thus, the initial objectives of this project are as follows:
Objective 1. Using radar, lidar and other sensors located at Summit, Greenland, in conjunction with satellite observations, determine to what extent different aerosol properties cause significant changes in clouds over the GrIS.
Objective 2. Quantify the influence CCN and INP have on the surface energy balance of the GrIS through their alteration of cloud properties (i.e., quantify the role aerosols may have on the melting of the GrIS).
Objective 3. Evaluate regional and global numerical weather and climate model performance against the observations to identify the deficiencies in the model’s physics that lead to biases in cloud occurrence, cloud thickness, and phase partitioning. Such inadequacies likely cause the observed longwave bias in cloud radiative effects over the GrIS in the summertime; develop, test and deliver new physical parameterizations to improve model fidelity. This synthesizing objective will be accomplished through an integrated analysis of the cloud and aerosol observations and process evaluations in Objectives 2 and 3 via modelling.
The role of CCN and INP in the formation of ice in cloud remains a major limitation in our quantitative understanding of clouds in the climate system. Therefore, this research is anticipated to have high impact outcomes. In this project, we foresee publications on: i) state-of-the-art cloud property retrievals using multiple remote sensing instruments, ii) the first detailed analysis of the role of aerosol in cloud over Summit, and the top of the GrIS, iii) the role aerosol plays in modulating the surface energy budget over Summit and the GrIS and iv) the regional role of aerosol over the wider GrIS during the past, present and future.
You will work directly under the supervision of Dr. Ryan R. Neely III, Prof. Ken Carslaw and Dr. Dan Grosvenor within ICAS and NCAS. You will also become an active member of each PIs research group and, thus, benefit from working within an active and multidisciplinary group of scientists.
This project will equip you with the necessary expertise to become a leader in the next generation of atmospheric scientists, ready to carry out your own programme of innovative scientific research. These skills will be developed by a mixture of hands on experience, attending external training courses, national & international conferences and taking part in the Leeds – York NERC doctoral training partnership programme. Specifically, this project will provide highly transferrable scientific training in a range of growth areas/skills including: i) the use of remote sensing instrumentation; ii) making measurements in the field; iii) state-of-the-art numerical modelling; iv) communication of these results to the broader scientific community at international meetings and v) working in a team with a broad range of expertise both within and outside of Leeds.
Continue with Facebook
