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  • University of York
  • York, United Kingdom

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LukeFakes/README.md

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About Me

I'm a PhD Student at the Wolfson Atmospheric Chemistry Laboratories (WACL), Universty of York. My research looks at modelling atmospheric composition over the UK using the open source, GEOS-Chem model. Most of my coding is done in python, but I'm also familiar with R and SQL, with a touch of FORTRAN.

My Research Highlights

In December 2020, I presented my work "Predicting the effect of anthropogenic emission reductions due to COVID-19 restrictions with an atmospheric chemistry model" at the AGU 2020 conference. This used global emissions adjusted to account for national COVID-19 lockdown restrictions (Forster at et al, 2020) to estimate the changes in key atmospheric pollutants at the global and regional (United Kingdom) level.

Co-author:

  • Global impact of COVID-19 restrictions on the surface concentrations of nitrogen dioxide and ozone, Atmos. Chem. Phys., C.A. Keller et al, 2020 (DOI: 10.5194/acp-21-3555-2021)

Background/Qualifications

  • (Current) Doctor of Philosophy, Chemistry, Department of Chemistry, University of York
  • MSc Data Science & Analytics, Department of Mathematics, University of Leeds.
  • MChem Chemistry with a Year in Industry, Department of Chemistry, University of York

Popular repositories Loading

  1. AC_tools AC_tools Public

    Forked from tsherwen/AC_tools

    Module for working with global/regional Chemical Transport Model (CTM) output and observations

    Python

  2. geos-chem geos-chem Public

    Forked from geoschem/geos-chem

    Source code repository (science codebase) for the GEOS-Chem model of atmospheric chemistry and composition. NOTE: Starting in GEOS-Chem 13.0.0 (to be released soon), you must build this code from w…

    Fortran

  3. LukeFakes LukeFakes Public

  4. rmcal rmcal Public

    Forked from sdhand/rmcal

    TeX

  5. FrackingEmissions FrackingEmissions Public

    Some code used for my contribution to the Equipt4Risk project (https://gtr.ukri.org/projects?ref=NE%2FR01809X%2F1)

    Python