You can also visit my google scholar or visit my ORCID record

For a more in-depth look into my past projects, see the overview of previous research section

Publications and Journal Articles

Lead Author Publications

Co-author Publications

Current Research

Using machine learning and satellites to constrain climate models aerosol uncertainty.

Aerosol-cloud interactions

  • Aim: Reduce uncertainties in aerosol-cloud interactions using machine learning and next-generation satellite data.
  • Methods: Use NASA PACE and ESA EarthCARE satellite observations to train machine learning models for improved climate simulations.

Overview of previous research

Quantifying aerosol-cloud interactions using machine learning applications to climate models

Aerosol-cloud interactions

    Bhatti, YA., Watson-Parris, D., Regayre, L., Jia, H., Neubauer, D., Im, U., Svenhag, C., Schutgens, N., Tsikerdekis, A., Nenes, A., Muhammed, I., van Diedenhoven, B., Arifi, A., Fu, G., Hasekamp, O. (2025). Uncertainty in aerosol effective radiative forcing from anthropogenic and natural aerosol parameters in ECHAM6.3-HAM2.3. EGUsphere, 2025, 1-35.

  • Aim: Quantify uncertainties in aerosol-cloud interactions and their impact on radiative forcing.
  • Methods: Developed a perturbed parameter ensemble (PPE) of 221 simulations in ECHAM6.3-HAM2.3, varying 23 key parameters.
  • Regional uncertainties in aerosol parameters contribute to regional uncertainties in aerosol radiative effects.
Read Manuscript

Aerosol and Dimethyl Sulfide Sensitivity to Sulfate Chemistry Schemes

chemistry

    Bhatti, YA., Revell, LE., McDonald, AJ., Archibald, AT., Schuddeboom, AJ., Williams, J., Hardacre, C., Mulcahy, J., Lin, D. (2024). Aerosol and dimethyl sulfide sensitivity to sulfate chemistry schemes. Journal of Geophysical Research: Atmospheres, 129(12), e2023JD040635.

  • Aim: Evaluate the sensitivity of sulfate aerosol to DMS oxidation pathways in CMIP6 models.
  • Methods: Implemented seven DMS and sulfate chemistry schemes in an atmosphere-only Earth system model.
  • The simulated spread in aerosol optical depth and cloud droplet number concentration is more than twice as large as the change from pre-industrial to present-day.
  • Constraining the chemistry of atmospheric sulfur is critical to constrain aerosol-cloud interactions.
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The sensitivity of Southern Ocean atmospheric dimethyl sulfide (DMS) to modeled oceanic DMS concentrations and emissions

ccn

    Bhatti, YA., Revell, LE., Schuddeboom, AJ., McDonald, AJ., Archibald, AT., Williams, J., Venugopal, AU., Hardacre, C., Behrens, E. (2023). The sensitivity of Southern Ocean atmospheric dimethyl sulfide (DMS) to modeled oceanic DMS concentrations and emissions. Atmospheric Chemistry and Physics, 23(24), 15181-15196.

  • Aim: Assess the sensitivity of atmospheric DMS to oceanic DMS datasets and transfer velocity parameterizations.
  • Methods: Conducted eight 10-year simulations using UKESM1-AMIP, testing four oceanic DMS datasets and three transfer velocity parameterizations.
  • The choice of oceanic DMS dataset has a larger influence on atmospheric DMS than the choice of DMS transfer velocity.
  • Capturing large-scale spatial variability can be more important than large-scale interannual variability.
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Influences of Antarctic Ozone Depletion on Southern Ocean Aerosols

Ozone_Depletion

    Bhatti, YA., Revell, LE., McDonald, AJ. (2022). Influences of Antarctic ozone depletion on southern ocean aerosols. Journal of Geophysical Research: Atmospheres, 127(18), e2022JD037199.

  • Aim: Investigate the impact of Antarctic ozone depletion on Southern Ocean aerosols.
  • Methods: Analyzed state-of-the-art Earth System Models to evaluate changes in aerosol fluxes and marine biogeochemical activity.
  • Wind-driven Southern Ocean aerosol fluxes are influenced by the ozone hole during austral summer.
  • Indirect influences of ozone losses mean Southern Ocean aerosols cannot be considered to be representative of pristine conditions.
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PhD Thesis in Physics: Southern Ocean dimethyl sulfide and marine aerosol production simulated with an earth system model

Ozone_Depletion

Bhatti, YA. (2024). University of Canterbury PhD Thesis.

  • Aim: Simulate Southern Ocean DMS and marine aerosol production using an Earth System Model.
  • Methods: Developed and validated a model framework to simulate DMS emissions and their impact on marine aerosols.
Read PhD Thesis