Overview

I am a Senior 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.

Research Interests

• 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.

Current Research

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.

PhD Students

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

1. 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.

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Publications

_{Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.}

| 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 |

2024

• Chen Y, Haywood J, Wang Y, Malavelle F, Jordan G, Peace A, Partridge DG, Cho N, Oreopoulos L, Grosvenor D. (2024) Substantial cooling effect from aerosol-induced increase in tropical marine cloud cover, Nature Geoscience, DOI:10.1038/s41561-024-01427-z. [PDF]
• Jordan G, Malavelle F, Chen Y, Peace A, Duncan E, Partridge DG, Kim P, Watson-Parris D, Takemura T, Neubauer D. (2024) How well are aerosol–cloud interactions represented in climate models? – Part 1: Understanding the sulfate aerosol production from the 2014–15 Holuhraun eruption, Atmospheric Chemistry and Physics, volume 24, no. 3, pages 1939-1960, DOI:10.5194/acp-24-1939-2024.
• Peace AH, Chen Y, Jordan G, Partridge DG, Malavelle F, Duncan E, Haywood JM. (2024) In-plume and out-of-plume analysis of aerosol-cloud interactions derived from the 2014–15 Holuhraun volcanic eruption, DOI:10.5194/egusphere-2024-360. [PDF]
• Blichner SM, Yli-Juuti T, Mielonen T, Pöhlker C, Holopainen E, Heikkinen L, Mohr C, Artaxo P, Carbone S, Meller BB. (2024) Process-evaluation of forest aerosol-cloud-climate feedback shows clear evidence from observations and large uncertainty in models, Nat Commun, volume 15, no. 1, DOI:10.1038/s41467-024-45001-y. [PDF]
• Block K, Haghighatnasab M, Partridge DG, Stier P, Quaas J. (2024) Cloud condensation nuclei concentrations derived from the CAMS reanalysis, Earth System Science Data, volume 16, no. 1, pages 443-470, DOI:10.5194/essd-16-443-2024.
• Mülmenstädt J, Gryspeerdt E, Dipu S, Quaas J, Ackerman AS, Fridlind AM, Tornow F, Bauer SE, Gettelman A, Ming Y. (2024) General circulation models simulate negative liquid water path­–droplet number correlations, but anthropogenic aerosols still increase simulated liquid water path, volume 2024, pages 1-29, DOI:10.5194/egusphere-2024-4.

2023

• Chen Y, Haywood J, Wang Y, Malavelle F, Jordan G, Peace A, Partridge D, Cho N, Oreopoulos L, Platnick S. (2023) Evidence that deliberate marine cloud brightening can be more effective than previously thought, DOI:10.21203/rs.3.rs-3291831/v1. [PDF]
• Block K, Haghighatnasab M, Partridge DG, Stier P, Quaas J. (2023) Cloud condensation nuclei concentrations derived from the CAMS reanalysis, volume 2023, pages 1-33, DOI:10.5194/essd-2023-172.
• Jordan G, Haywood J, Malavelle F, Chen Y, Peace A, Duncan E, Partridge DG, Kim P, Watson-Parris D, Takemura T. (2023) How well are aerosol-cloud interactions represented in climate models? Part 1: Understanding the sulphate aerosol production from the 2014–15 Holuhraun eruption, DOI:10.5194/egusphere-2023-619. [PDF]
• Wells AF, Jones A, Osborne M, Damany-Pearce L, Partridge DG, Haywood JM. (2023) Including ash in UKESM1 model simulations of the Raikoke volcanic eruption reveals improved agreement with observations, Atmospheric Chemistry and Physics, volume 23, no. 7, pages 3985-4007, DOI:10.5194/acp-23-3985-2023. [PDF]
• Heikkinen L, Partridge DG, Huang W, Blichner S, Ranjan R, Tovazzi E, Petäjä T, Mohr C, Riipinen I. (2023) Cloud response to co-condensation of water and organic vapors over the boreal forest, volume 2023, pages 1-42, DOI:10.5194/egusphere-2023-164.

2022

• Wells AF, Jones A, Osborne M, Damany-Pearce L, Partridge DG, Haywood JM. (2022) Including ash in UKESM1 model simulations of the Raikoke volcanic eruption reveal improved agreement with observations, DOI:10.5194/egusphere-2022-1060. [PDF]
• Isokääntä S, Kim P, Mikkonen S, Kühn T, Kokkola H, Yli-Juuti T, Heikkinen L, Luoma K, Petäjä T, Kipling Z. (2022) The effect of clouds and precipitation on the aerosol concentrations and composition in a boreal forest environment, Atmospheric Chemistry and Physics, volume 22, no. 17, pages 11823-11843, DOI:10.5194/acp-22-11823-2022.
• Chen Y, Haywood J, Wang Y, Malavelle F, Jordan G, Partridge D, Fieldsend J, De Leeuw J, Schmidt A, Cho N. (2022) Publisher Correction: Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover, Nature Geoscience, volume 15, no. 10, pages 854-854, DOI:10.1038/s41561-022-01027-9. [PDF]
• Karlsson L, Baccarini A, Duplessis P, Baumgardner D, Brooks IM, Chang RY, Dada L, Dällenbach KR, Heikkinen L, Krejci R. (2022) Physical and Chemical Properties of Cloud Droplet Residuals and Aerosol Particles During the Arctic Ocean 2018 Expedition, Journal of Geophysical Research: Atmospheres, volume 127, no. 11, DOI:10.1029/2021jd036383.
• Isokääntä S, Kim P, Mikkonen S, Kühn T, Kokkola H, Yli-Juuti T, Heikkinen L, Luoma K, Petäjä T, Kipling Z. (2022) The effect of clouds and precipitation on the aerosol concentrations and composition in a boreal forest environment, volume 2022, pages 1-34, DOI:10.5194/acp-2022-147.

2021

• Haywood J. (2021) The CLoud–Aerosol–Radiation Interaction and Forcing: Year 2017 (CLARIFY-2017) measurement campaign, Atmospheric Chemistry and Physics, volume 21, pages 1049-1084, DOI:10.5194/acp-21-1049-2021.

2020

• Haywood JM, Abel SJ, Barrett PA, Bellouin N, Blyth A, Bower KN, Brooks M, Carslaw K, Che H, Coe H. (2020) Overview: The CLoud-Aerosol-Radiation Interaction and Forcing: Year-2017 (CLARIFY-2017) measurement campaign, volume 2020, pages 1-49, DOI:10.5194/acp-2020-729.
• Johnson JS, Regayre LA, Yoshioka M, Pringle KJ, Turnock ST, Browse J, Sexton DMH, Rostron JW, Schutgens NAJ, Partridge DG. (2020) Robust observational constraint of uncertain aerosol processes and emissions in a climate model and the effect on aerosol radiative forcing, ATMOSPHERIC CHEMISTRY AND PHYSICS, volume 20, no. 15, pages 9491-9524, DOI:10.5194/acp-20-9491-2020. [PDF]
• Gryspeerdt E, Mülmenstädt J, Gettelman A, Malavelle FF, Morrison H, Neubauer D, Partridge DG, Stier P, Takemura T, Wang H. (2020) Surprising similarities in model and observational aerosol radiative forcing estimates, Atmospheric Chemistry and Physics, volume 20, no. 1, pages 613-623, DOI:10.5194/acp-20-613-2020.

2019

• Neubauer D, Ferrachat S, Drian CS-L, Stier P, Partridge DG, Tegen I, Bey I, Stanelle T, Kokkola H, Lohmann U. (2019) The global aerosol-climate model ECHAM6.3-HAM2.3 – Part 2: Cloud evaluation, aerosol radiative forcing and climate sensitivity, pages 1-52, DOI:10.5194/gmd-2018-307.
• Johnson JS, Regayre LA, Yoshioka M, Pringle KJ, Turnock ST, Browse J, Sexton DMH, Rostron JW, Schutgens NAJ, Partridge DG. (2019) Robust observational constraint of uncertain aerosol processes and emissions in a climate model and the effect on aerosol radiative forcing, volume 2019, pages 1-51, DOI:10.5194/acp-2019-834.
• Yoshioka M, Regayre LA, Pringle KJ, Johnson JS, Mann GW, Partridge DG, Sexton DMH, Lister GMS, Schutgens N, Stier P. (2019) Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and Their Radiative Forcing, Journal of Advances in Modeling Earth Systems, volume 11, no. 11, pages 3728-3754, DOI:10.1029/2019MS001628.
• Lowe SJ, Partridge DG, Davies JF, Wilson KR, Topping D, Riipinen I. (2019) Key drivers of cloud response to surface-active organics, Nature Communications, volume 10, no. 1, DOI:10.1038/s41467-019-12982-0.
• Neubauer D, Ferrachat S, Siegenthaler-Le Drian C, Stier P, Partridge DG, Tegen I, Bey I, Stanelle T, Kokkola H, Lohmann U. (2019) The global aerosol-climate model ECHAM6.3-HAM2.3-Part 2: Cloud evaluation, aerosol radiative forcing, and climate sensitivity, GEOSCIENTIFIC MODEL DEVELOPMENT, volume 12, no. 8, pages 3609-3639, DOI:10.5194/gmd-12-3609-2019. [PDF]

2017

• Malavelle FF, Haywood JM, Jones A, Gettelman A, Clarisse L, Bauduin S, Allan RP, Karset IHH, Kristjansson JE, Oreopoulos L. (2017) Strong constraints on aerosol-cloud interactions from volcanic eruptions (vol 546, pg 485, 2017), NATURE, volume 551, no. 7679, pages 256-256, DOI:10.1038/nature24275. [PDF]
• Rastak N, Pajunoja A, Acosta Navarro JC, Ma J, Song M, Partridge DG, Kirkevåg A, Leong Y, Hu WW, Taylor NF. (2017) Microphysical explanation of the RH‐dependent water affinity of biogenic organic aerosol and its importance for climate, Geophysical Research Letters, volume 44, no. 10, pages 5167-5177, DOI:10.1002/2017gl073056. [PDF]
• Zieger P, Vaisanen O, Corbin JC, Partridge DG, Bastelberger S, Mousavi-Fard M, Rosati B, Gysel M, Krieger UK, Leck C. (2017) Revising the hygroscopicity of inorganic sea salt particles, NATURE COMMUNICATIONS, volume 8, article no. ARTN 15883, DOI:10.1038/ncomms15883. [PDF]
• Malavelle FF, Haywood JM, Jones A, Gettelman A, Clarisse L, Bauduin S, Allan RP, Karset IHH, Kristjánsson JE, Oreopoulos L. (2017) Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, volume 546, no. 7659, pages 485-491, DOI:10.1038/nature22974.
• Gryspeerdt E, Quaas J, Ferrachat S, Gettelman A, Ghan S, Lohmann U, Morrison H, Neubauer D, Partridge DG, Stier P. (2017) Constraining the instantaneous aerosol influence on cloud albedo, Proc Natl Acad Sci U S A, volume 114, no. 19, pages 4899-4904, DOI:10.1073/pnas.1617765114. [PDF]

2016

• Lowe S, Partridge DG, Topping D, Stier P. (2016) Inverse modelling of Köhler theory – Part 1: A response surface analysis of CCN spectra with respect to surface-active organic species, Atmospheric Chemistry and Physics, volume 16, no. 17, pages 10941-10963, DOI:10.5194/acp-16-10941-2016. [PDF]
• Zhang S, Wang M, Ghan SJ, Ding A, Wang H, Zhang K, Neubauer D, Lohmann U, Ferrachat S, Takeamura T. (2016) On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmospheric Chemistry and Physics, volume 16, no. 5, pages 2765-2783, DOI:10.5194/acp-16-2765-2016.
• Schutgens NAJ, Partridge DG, Stier P. (2016) The importance of temporal collocation for the evaluation of aerosol models with observations, Atmospheric Chemistry and Physics, volume 16, no. 2, pages 1065-1079, DOI:10.5194/acp-16-1065-2016.
• Ghan S, Wang M, Zhang S, Ferrachat S, Gettelman A, Griesfeller J, Kipling Z, Lohmann U, Morrison H, Neubauer D. (2016) Challenges in constraining anthropogenic aerosol effects on cloud radiative forcing using present-day spatiotemporal variability, Proceedings of the National Academy of Sciences, volume 113, no. 21, pages 5804-5811, DOI:10.1073/pnas.1514036113. [PDF]

2015

• Schutgens NAJ, Partridge DG, Stier P. (2015) The importance of temporal collocation for the evaluation of aerosol models with observations, volume 15, no. 18, pages 26191-26230, DOI:10.5194/acpd-15-26191-2015.
• Zhang S, Wang M, Ghan SJ, Ding A, Wang H, Zhang K, Neubauer D, Lohmann U, Ferrachat S, Takeamura T. (2015) On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, volume 15, no. 17, pages 23683-23729, DOI:10.5194/acpd-15-23683-2015.

2014

• Gryspeerdt E, Stier P, Partridge DG. (2014) Links between satellite retrieved aerosol and precipitation, volume 14, no. 5, pages 6821-6861, DOI:10.5194/acpd-14-6821-2014.
• Gryspeerdt E, Stier P, Partridge DG. (2014) Links between satellite-retrieved aerosol and precipitation, Atmospheric Chemistry and Physics, volume 14, no. 18, pages 9677-9694, DOI:10.5194/acp-14-9677-2014. [PDF]
• Gryspeerdt E, Stier P, Partridge DG. (2014) Satellite observations of cloud regime development: the role of aerosol processes, Atmospheric Chemistry and Physics, volume 14, no. 3, pages 1141-1158, DOI:10.5194/acp-14-1141-2014. [PDF]
• West REL, Stier P, Jones A, Johnson CE, Mann GW, Bellouin N, Partridge DG, Kipling Z. (2014) The importance of vertical velocity variability for estimates of the indirect aerosol effects, ATMOSPHERIC CHEMISTRY AND PHYSICS, volume 14, no. 12, pages 6369-6393, DOI:10.5194/acp-14-6369-2014. [PDF]

2013

• Gryspeerdt E, Stier P, Partridge DG. (2013) Satellite observations of cloud regime development: the role of aerosol processes, volume 13, no. 8, pages 22931-22977, DOI:10.5194/acpd-13-22931-2013.
• Björkman MP, Kühnel R, Partridge DG, Roberts TJ, Aas W, Mazzola M, Viola A, Hodson A, Ström J, Isaksson E. (2013) Nitrate dry deposition in Svalbard, Tellus B: Chemical and Physical Meteorology, volume 65, no. 1, pages 19071-19071, DOI:10.3402/tellusb.v65i0.19071. [PDF]

2012

• Partridge DG, Vrugt JA, Tunved P, Ekman AML, Struthers H, Sorooshian A. (2012) Inverse modelling of cloud-aerosol interactions – Part 2: Sensitivity tests on liquid phase clouds using a Markov chain Monte Carlo based simulation approach, Atmospheric Chemistry and Physics, volume 12, no. 6, pages 2823-2847, DOI:10.5194/acp-12-2823-2012. [PDF]

2011

• Partridge DG, Vrugt JA, Tunved P, Ekman AML, Gorea D, Sorooshian A. (2011) Towards inverse modeling of cloud-aerosol interactions – Part 1: A detailed response surface analysis, volume 11, no. 2, pages 4749-4806, DOI:10.5194/acpd-11-4749-2011.
• Partridge DG, Vrugt JA, Tunved P, Ekman AML, Struthers H, Sorooshian A. (2011) Inverse modeling of cloud-aerosol interactions – Part 2: Sensitivity tests on liquid phase clouds using a Markov Chain Monte Carlo based simulation approach, volume 11, no. 7, pages 20051-20105, DOI:10.5194/acpd-11-20051-2011.
• Partridge DG, Vrugt JA, Tunved P, Ekman AML, Gorea D, Sorooshian A. (2011) Inverse modeling of cloud-aerosol interactions – Part 1: Detailed response surface analysis, Atmospheric Chemistry and Physics, volume 11, no. 14, pages 7269-7287, DOI:10.5194/acp-11-7269-2011. [PDF]

2010

• Tunved P, Partridge DG, Korhonen H. (2010) New trajectory driven aerosol and chemical process model: chemical and aerosol Lagrangian model (CALM), volume 10, no. 6, pages 15197-15261, DOI:10.5194/acpd-10-15197-2010.
• Tunved P, Partridge DG, Korhonen H. (2010) New trajectory-driven aerosol and chemical process model Chemical and Aerosol Lagrangian Model (CALM), Atmospheric Chemistry and Physics, volume 10, no. 21, pages 10161-10185, DOI:10.5194/acp-10-10161-2010. [PDF]

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