Michael Whitall

1.4k total citations
11 papers, 79 citations indexed

About

Michael Whitall is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Michael Whitall has authored 11 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atmospheric Science, 10 papers in Global and Planetary Change and 1 paper in Oceanography. Recurrent topics in Michael Whitall's work include Climate variability and models (10 papers), Meteorological Phenomena and Simulations (9 papers) and Tropical and Extratropical Cyclones Research (7 papers). Michael Whitall is often cited by papers focused on Climate variability and models (10 papers), Meteorological Phenomena and Simulations (9 papers) and Tropical and Extratropical Cyclones Research (7 papers). Michael Whitall collaborates with scholars based in United Kingdom, Australia and United States. Michael Whitall's co-authors include Alison Stirling, Hilary Weller, John Thuburn, Geoffrey K. Vallis, Robert J. Beare, R. A. Stratton, G. G. Rooney, Kirsty Hanley, Peter Clark and Adrian Lock and has published in prestigious journals such as Journal of Climate, Journal of the Atmospheric Sciences and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Michael Whitall

10 papers receiving 77 citations

Peers

Michael Whitall

AS

GPC

EE

CM

OCEAN

Vera Maurer Germany

Antoine Verrelle France

Pierre‐Etienne Brilouet France

A. V. Debolskiy Russia

Evgeny Kadantsev Finland

Yasutaka Ikuta Japan

Rein Rõõm Estonia

Jule Radtke Germany

Geet George Germany

Moeka Yamaji Japan

Vera Maurer Germany

Michael Whitall

79 ×1.1

AS

77 ×1.5

GPC

33 ×2.1

EE

11 ×0.8

CM

3 ×0.3

OCEAN

Citations per year, relative to Michael Whitall Michael Whitall (= 1×) peers Vera Maurer

Countries citing papers authored by Michael Whitall

Since Specialization

Citations

This map shows the geographic impact of Michael Whitall'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 Michael Whitall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Whitall more than expected).

Fields of papers citing papers by Michael Whitall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Whitall. 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 Michael Whitall. The network helps show where Michael Whitall may publish in the future.

Co-authorship network of co-authors of Michael Whitall

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Whitall. A scholar is included among the top collaborators of Michael Whitall 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 Michael Whitall. Michael Whitall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Christensen, Hannah M., Tim Woollings, Robert S. Plant, et al.. (2025). Advancing Organized Convection Representation in the Unified Model: Implementing and Enhancing Multiscale Coherent Structure Parameterization. Journal of Advances in Modeling Earth Systems. 17(3).

2.

Lavender, Sally L., Michael Whitall, R. A. Stratton, et al.. (2024). The use of idealised experiments in testing a new convective parametrization: Performance of CoMorph‐A. Quarterly Journal of the Royal Meteorological Society. 150(760). 1581–1600. 7 indexed citations

3.

Lock, Adrian, Michael Whitall, Alison Stirling, et al.. (2024). The performance of the CoMorph‐A convection package in global simulations with the Met Office Unified Model. Quarterly Journal of the Royal Meteorological Society. 150(763). 3527–3543. 4 indexed citations

4.

Zhu, Hongyan, Debra Hudson, Li Shi, et al.. (2024). Impacts of the new UM convection scheme, CoMorph-A, over the Indo-Pacific and Australian regions. Journal of Southern Hemisphere Earth System Science. 74(3). 1 indexed citations

5.

Tomassini, Lorenzo, Martin Willett, Alistair Sellar, et al.. (2023). Confronting the Convective Gray Zone in the Global Configuration of the Met Office Unified Model. Journal of Advances in Modeling Earth Systems. 15(5). 12 indexed citations

6.

Rooney, G. G., Alison Stirling, R. A. Stratton, & Michael Whitall. (2021). C‐POOL: A scheme for modelling convective cold pools in the Met Office Unified Model. Quarterly Journal of the Royal Meteorological Society. 148(743). 962–980. 10 indexed citations

7.

Holloway, Christopher E., et al.. (2021). Cloud-Radiation Interactions and their contributions to Convective Self-Aggregation. 3 indexed citations

8.

Chadwick, Robin, et al.. (2020). Influences of Local and Remote Conditions on Tropical Precipitation and Its Response to Climate Change. Journal of Climate. 33(10). 4045–4063. 3 indexed citations

9.

Hanley, Kirsty, Michael Whitall, Alison Stirling, & Peter Clark. (2019). Modifications to the representation of subgrid mixing in kilometre‐scale versions of the Unified Model. Quarterly Journal of the Royal Meteorological Society. 145(725). 3361–3375. 11 indexed citations

10.

Thuburn, John, Hilary Weller, Geoffrey K. Vallis, Robert J. Beare, & Michael Whitall. (2017). A Framework for Convection and Boundary Layer Parameterization Derived from Conditional Filtering. Journal of the Atmospheric Sciences. 75(3). 965–981. 27 indexed citations

11.

Plant, Robert S., Richard J. Keane, Warren Tennant, & Michael Whitall. (2011). Stochastic parameterization: uncertainties from convection. 1 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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