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Paul Connolly

Prof

 https://orcid.org/0000-0002-3294-7405

Personal profile

Overview

Roles within the School and Faculty

I am the Department's Senior Academic Advisor (2018-)

Qualifications

BSc (Hons) Pure and Applied Physics (UMIST) 2001; PhD Atmospheric science (Manchester) 2006;

My group

Research group

My group

Research Group(s)

Teaching

Modules taught

In 2006 I took up the position of lecturer in SEES. I taught mathematics, problem solving, statistics and computing to first and second year Environmental Science students for a period of 10-years. I taught Meteorology and Atmospheric Physics to 3rd year Physics students in addition to Measuring and Predicting to MPEC students for 8-years.

More recently I have been teaching Environmental Modelling (EART22001) to second-year students and Measuring and Prediciting-2 (EART60071) to MPEC students.

Biography

I graduated from UMIST in 2001 gaining a 1st class degree in Pure and Applied Physics and being awarded course prize for best performance in all three years.

I then moved on to do a PhD in Atmospheric Physics. This included field work in Australia (Darwin), Swizerland (Jungfraujoch), and laboratory work in Germany (at the AIDA chamber). I also received a scholarship to visit the National Center for Atmospheric Research in Boulder Colorado.

During my PhD I also used the large-eddy-simulation numerical technique and developed numerical cloud parcel models to interpret atmospheric and laboratory data. 

Now I am Professor of Atmospheric Physics in the School of Earth and Environmental Science. I have continued to develop the numerical and laboratory expertise in the University of Manchester in the areas of cloud physics and cloud dynamics. In this role I have developed a large cloud chamber facility at Manchester, in the Latham Laboratories.

Current interests include: ice-nucleation; secondary ice production; cloud-physics; deep learning methods for image classification (unsupervised learning)

Research interests

Cloud physics, ice nucleation, aerosol-cloud interactions, secondary ice production, numerical modelling; unsupervised deep-learning methods for image classification.

Overview

Interested in developing research projects in any of my areas? Come and see me in Manchester and / or let's meet for a coffee and a chat.

Areas of expertise

  • Q Science (General)
  • QC Physics
  • QA76 Computer software

Research Beacons, Institutes and Platforms

  • Institute for Data Science and AI
  • Digital Futures
  • Manchester Environmental Research Institute

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  3. SDG 13 - Climate Action
    SDG 13 Climate Action
  4. SDG 14 - Life Below Water
    SDG 14 Life Below Water

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Collaborations and top research areas from the last five years

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  • 1 Participating in a conference, workshop, exhibition, performance, inquiry, course etc
  • 1 Membership of grants peer review panel
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