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Yusuf Hamied Department of Chemistry

 

University Lecturer

Environmental and climatic effects of volcanic gases and aerosols

I am an Interdisciplinary Lecturer in Climate Modelling jointly affiliated with the Departments of Chemistry and Geography. I combine expertise in atmospheric science, climate modelling, and volcanology to advance the current understanding of volcanic impacts and hazards. In particular, I investigate the impact of volcanism on atmospheric chemistry, climate, air quality, human health, ecosystems and aviation using a wide range of atmospheric models and volcanological datasets. I am particularly interested in continuously degassing volcanoes and effusive Icelandic volcanic eruptions and their effects on air quality and climate. I am convinced that these eruptions serve as a perfect natural lab and can help better understand and quantify aerosol-cloud interactions.

Recent research

I have extensively studied the most recent Icelandic eruption at Holuhraun (Bárðarbunga volcano). Starting in August 2014, Holuhraun erupted effusively for 6 months and emitted up to nine times as much sulphur dioxide per day as all European industry combined, which led to a measureable episodic degradation of air quality across Northern Europe in September 2014 (see Schmidt et al., 2015). Combining satellite observations with numerical modelling, we were also able to demonstrate that the eruption had a discernable effect on the brightness of low-level clouds over the North Atlantic (Gettelman et al., 2015; Malavelle et al., 2017).

Publications

The 2019 Raikoke eruption as a testbed used by the Volcano Response group for rapid assessment of volcanic atmospheric impacts
JP Vernier, TJ Aubry, C Timmreck, A Schmidt, L Clarisse, F Prata, N Theys, AT Prata, G Mann, H Choi, S Carn, R Rigby, SC Loughlin, JA Stevenson
– Atmospheric Chemistry and Physics
(2024)
24,
5765
Analysis of the global atmospheric background sulfur budget in a multi-model framework
CV Brodowsky, T Sukhodolov, G Chiodo, V Aquila, S Bekki, SS Dhomse, M Höpfner, A Laakso, GW Mann, U Niemeier, G Pitari, I Quaglia, E Rozanov, A Schmidt, T Sekiya, S Tilmes, C Timmreck, S Vattioni, D Visioni, P Yu, Y Zhu, T Peter
– Atmospheric Chemistry and Physics
(2024)
24,
5513
Utilising a multi-proxy to model comparison to constrain the season and regionally heterogeneous impacts of the Mt Samalas 1257 eruption
L Wainman, LR Marshall, A Schmidt
– Climate of the Past
(2024)
20,
951
Disproportionate impacts of the COVID-19 pandemic on early career researchers and disabled researchers in volcanology
MM Chim, EC Maters, J Morin, JL Kavanagh, A Donovan, TJ Aubry, A Schmidt
– Frontiers in Earth Science
(2023)
11,
1291975
New Insights Into the Relationship Between Mass Eruption Rate and Volcanic Column Height Based On the IVESPA Data Set
TJ Aubry, SL Engwell, C Bonadonna, LG Mastin, G Carazzo, AR Van Eaton, DE Jessop, RG Grainger, S Scollo, IA Taylor, AM Jellinek, A Schmidt, S Biass, M Gouhier
– Geophysical Research Letters
(2023)
50,
ARTN e2022GL102633
Radiative Forcing From the 2014-2022 Volcanic and Wildfire Injections
P Yu, RW Portmann, Y Peng, CC Liu, Y Zhu, E Asher, Z Bai, Y Lu, J Bian, M Mills, A Schmidt, KH Rosenlof, OB Toon
– Geophysical Research Letters
(2023)
50,
e2023GL103791
Climate Projections Very Likely Underestimate Future Volcanic Forcing and Its Climatic Effects
MM Chim, TJ Aubry, NL Abraham, L Marshall, J Mulcahy, J Walton, A Schmidt
– Geophysical Research Letters
(2023)
50,
ARTN e2023GL103743
On the magnitude and sensitivity of the quasi-biennial oscillation response to a tropical volcaniceruption
F Brown, L Marshall, PH Haynes, RR Garcia, T Birner, A Schmidt
– Atmospheric Chemistry and Physics
(2023)
23,
5335
Publisher Correction: Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover (Nature Geoscience, (2022), 15, 8, (609-614), 10.1038/s41561-022-00991-6)
Y Chen, J Haywood, Y Wang, F Malavelle, G Jordan, D Partridge, J Fieldsend, J De Leeuw, A Schmidt, N Cho, L Oreopoulos, S Platnick, D Grosvenor, P Field, U Lohmann
– Nature Geoscience
(2022)
15,
854
Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover
Y Chen, J Haywood, Y Wang, F Malavelle, G Jordan, D Partridge, J Fieldsend, J De Leeuw, A Schmidt, N Cho, L Oreopoulos, S Platnick, D Grosvenor, P Field, U Lohmann
– Nature Geoscience
(2022)
15,
609
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Research Group

Research Interest Group

Telephone number

01223 336369

Email address

as2737@cam.ac.uk