Dr Daniel Partridge
Lecturer in Atmospheric Science (E&R)
Telephone: 01392 724165
Extension: (Streatham) 4165
I am Lecturer in Atmospheric Science engaged in climate change research with a focus on the interaction between aerosols and clouds. I work with both detailed cloud-scale process level models and global climate modelling to further understand the complex processes governing the impact aerosols have on cloud properties and subsequently the climate system. Google Scholar profile.
- Aerosol – Cloud Interactions: Cloud microphysics and aerosol life cycle simulation.
- Global climate modelling: Evaluation and development of representation of aerosol-cloud interactions.
- Lagrangian trajectory modelling: Deriving aerosol source-receptor relationships using climate models & in-situ observations.
General circulation models (GCMs) are the only tools at our disposal for predicting future climate, however, the current representation of aerosols, clouds, and aerosol-cloud radiative effects carries large uncertainties that directly affect GCM predictions, such as climate sensitivity. Despite decades of research, reducing these uncertainties has proved extremely challenging.
Accordingly, the goal of my research is to improve the representation of aerosol-cloud interactions in GCMs and subsequently reduce the uncertainties in the aerosol-cloud forcing of climate.
My current and future research plans focus on the development and application of novel computational strategies that robustly link observations with models for improved understanding and representation of atmospheric processes relevant for aerosol-cloud interactions in GCMs. In these efforts we collaborate strongly with the UK Met Office Hadley Centre, a world-renowned climate modelling centre.
Novel Strategies for Evaluating Climate Models
We have recently developed a novel GCM Lagrangian trajectory framework which allows us to derive and evaluate GCM representation of source receptor relationships for aerosol sources (e.g. sea spray aerosol) and sinks (e.g. precipitation) robustly against observations. We are currently applying this modelling framework to the Arctic, a region which we know is particularly sensitive to perturbations of the radiative budget. During the last century the temperature increase in the Arctic has been observed to be twice the global average. This “Arctic amplification” is not fully understood, but it likely relates to the complex feedbacks surrounding sea ice, clouds and aerosols.
Paul Kim: Application of a novel trajectory approach to improve understanding of the role of aerosols in the Arctic.
Emanuele Tovazzi: Investigation into the importance of marine aerosol sources for accurate predictions of Arctic climate change.
Co-supervised PhD Students
George Manville: Southern Ocean marine trace gases and climate.
Samuel Lowe (Stockholm University): Interactions between clouds and complex atmospheric aerosol particles: From fundamental processes to global effects.
Roxana Cremer (Stockholm University): Atmospheric Life-cycle of Black Carbon.
Open PhD Positions
Investigation into the importance of aerosols from blowing snow for accurate predictions of Arctic climate change. Apply to University of Exeter here.
I am always open to hearing from prospective PhD students and Postdoctoral researchers who are genuinely interested and passionate to work in an interdisciplinary setting within the field of atmospheric science.