Duncan Watson‐Parris

4.2k total citations
60 papers, 1.3k citations indexed

About

Duncan Watson‐Parris is a scholar working on Atmospheric Science, Global and Planetary Change and Condensed Matter Physics. According to data from OpenAlex, Duncan Watson‐Parris has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Atmospheric Science, 48 papers in Global and Planetary Change and 5 papers in Condensed Matter Physics. Recurrent topics in Duncan Watson‐Parris's work include Atmospheric chemistry and aerosols (32 papers), Atmospheric aerosols and clouds (28 papers) and Climate variability and models (25 papers). Duncan Watson‐Parris is often cited by papers focused on Atmospheric chemistry and aerosols (32 papers), Atmospheric aerosols and clouds (28 papers) and Climate variability and models (25 papers). Duncan Watson‐Parris collaborates with scholars based in United Kingdom, United States and Germany. Duncan Watson‐Parris's co-authors include Philip Stier, P. Dawson, C. J. Humphreys, Menno J. Kappers, Guy Dagan, Rachel A. Oliver, M. J. Godfrey, Matthew W. Christensen, Chris Smith and M. J. Galtrey and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Duncan Watson‐Parris

55 papers receiving 1.2k citations

Peers

Duncan Watson‐Parris

GPC

CMP

AMPO

David Neubauer Switzerland

D. Kim United States

Stefano Dietrich Italy

Kyo‐Sun Sunny Lim South Korea

Takashi Shibata Japan

Thomas E. Taylor United States

Alberto de Lózar Germany

E. M. Patterson United States

R. Phani India

David Neubauer Switzerland

Duncan Watson‐Parris

1.2k ×1.6

GPC

1.3k ×1.6

110 ×0.4

CMP

143 ×0.8

AMPO

156 ×1.2

Citations per year, relative to Duncan Watson‐Parris Duncan Watson‐Parris (= 1×) peers David Neubauer

Countries citing papers authored by Duncan Watson‐Parris

Since Specialization

Citations

This map shows the geographic impact of Duncan Watson‐Parris's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Duncan Watson‐Parris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duncan Watson‐Parris more than expected).

Fields of papers citing papers by Duncan Watson‐Parris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duncan Watson‐Parris. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Duncan Watson‐Parris. The network helps show where Duncan Watson‐Parris may publish in the future.

Co-authorship network of co-authors of Duncan Watson‐Parris

This figure shows the co-authorship network connecting the top 25 collaborators of Duncan Watson‐Parris. A scholar is included among the top collaborators of Duncan Watson‐Parris based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Duncan Watson‐Parris. Duncan Watson‐Parris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Nowack, Peer & Duncan Watson‐Parris. (2025). Opinion: Why all emergent constraints are wrong but some are useful – a machine learning perspective. Atmospheric chemistry and physics. 25(4). 2365–2384. 3 indexed citations

Griffiths, Paul T., Laura J. Wilcox, Robert J. Allen, et al.. (2025). Opinion: The role of AerChemMIP in advancing climate and air quality research. Atmospheric chemistry and physics. 25(14). 8289–8328. 1 indexed citations

Eidhammer, Trude, Andrew Gettelman, Katherine Thayer‐Calder, et al.. (2024). An extensible perturbed parameter ensemble for the Community Atmosphere Model version 6. Geoscientific model development. 17(21). 7835–7853. 9 indexed citations

Gettelman, Andrew, Matthew W. Christensen, Michael Diamond, et al.. (2024). Has Reducing Ship Emissions Brought Forward Global Warming?. Geophysical Research Letters. 51(15). 26 indexed citations

Malavelle, Florent, Ying Chen, Daniel G. Partridge, et al.. (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. 24(3). 1939–1960. 3 indexed citations

Regayre, Leighton A., Lucia Deaconu, Daniel P. Grosvenor, et al.. (2023). Identifying climate model structural inconsistencies allows for tight constraint of aerosol radiative forcing. Atmospheric chemistry and physics. 23(15). 8749–8768. 13 indexed citations

Salzmann, Marc, Sylvaine Ferrachat, Steffen Münch, et al.. (2022). The Global Atmosphere‐aerosol Model ICON‐A‐HAM2.3–Initial Model Evaluation and Effects of Radiation Balance Tuning on Aerosol Optical Thickness. Journal of Advances in Modeling Earth Systems. 14(4). e2021MS002699–e2021MS002699. 11 indexed citations

Watson‐Parris, Duncan, et al.. (2021). A Large‐Scale Analysis of Pockets of Open Cells and Their Radiative Impact. Geophysical Research Letters. 48(6). 10 indexed citations

Stier, Philip, et al.. (2021). Decomposing Effective Radiative Forcing Due to Aerosol Cloud Interactions by Global Cloud Regimes. Geophysical Research Letters. 48(18). 3 indexed citations

10.

Dagan, Guy, Philip Stier, & Duncan Watson‐Parris. (2021). An Energetic View on the Geographical Dependence of the Fast Aerosol Radiative Effects on Precipitation. Journal of Geophysical Research Atmospheres. 126(9). 10 indexed citations

11.

Witt, Christian Schroeder de, Catherine Tong, Daniele De Martini, et al.. (2021). RainBench: Enabling Data-Driven Precipitation Forecasting on a Global Scale. 1 indexed citations

12.

Gettelman, Andrew, Robin Lamboll, Charles Bardeen, Piers Forster, & Duncan Watson‐Parris. (2020). Climate Impacts of COVID‐19 Induced Emission Changes. Geophysical Research Letters. 48(3). 45 indexed citations

13.

McCoy, Isabel L., Daniel T. McCoy, Robert Wood, et al.. (2020). The hemispheric contrast in cloud microphysical properties constrains aerosol forcing. Proceedings of the National Academy of Sciences. 117(32). 18998–19006. 66 indexed citations

14.

Watson‐Parris, Duncan, Nicolas Bellouin, Lucia Deaconu, et al.. (2020). Constraining Uncertainty in Aerosol Direct Forcing. Geophysical Research Letters. 47(9). 32 indexed citations

15.

Tegen, Ina, David Neubauer, Sylvaine Ferrachat, et al.. (2019). The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 1: Aerosol evaluation. Geoscientific model development. 12(4). 1643–1677. 113 indexed citations

16.

Heikenfeld, Max, Peter J. Marinescu, Matthew W. Christensen, et al.. (2019). tobac 1.2: towards a flexible framework for tracking and analysis of clouds in diverse datasets. Geoscientific model development. 12(11). 4551–4570. 58 indexed citations

17.

Watson‐Parris, Duncan, Nick Schutgens, Carly Reddington, et al.. (2019). In situ constraints on the vertical distribution of global aerosol. Atmospheric chemistry and physics. 19(18). 11765–11790. 29 indexed citations

18.

Tegen, Ina, David Neubauer, Sylvaine Ferrachat, et al.. (2018). The aerosol-climate model ECHAM6.3-HAM2.3: Aerosol evaluation. Biogeosciences (European Geosciences Union). 6 indexed citations

19.

Watson‐Parris, Duncan, Nick Schutgens, Nicholas Cook, et al.. (2016). Community Intercomparison Suite (CIS) v1.3.2: A tool for intercomparing models and observations. 1 indexed citations

20.

Watson‐Parris, Duncan, Nick Schutgens, Nicholas Cook, et al.. (2016). Community Intercomparison Suite (CIS) v1.4.0: a tool for intercomparing models and observations. Geoscientific model development. 9(9). 3093–3110. 20 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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