David Storkey

2.6k total citations
17 papers, 967 citations indexed

About

David Storkey is a scholar working on Global and Planetary Change, Oceanography and Atmospheric Science. According to data from OpenAlex, David Storkey has authored 17 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 14 papers in Oceanography and 10 papers in Atmospheric Science. Recurrent topics in David Storkey's work include Climate variability and models (15 papers), Oceanographic and Atmospheric Processes (14 papers) and Geology and Paleoclimatology Research (4 papers). David Storkey is often cited by papers focused on Climate variability and models (15 papers), Oceanographic and Atmospheric Processes (14 papers) and Geology and Paleoclimatology Research (4 papers). David Storkey collaborates with scholars based in United Kingdom, France and China. David Storkey's co-authors include Patrick Hyder, Ed Blockley, Matthew Martin, John Siddorn, Tim Graham, Daley Calvert, Daniel J. Lea, Alex Megann, Yevgeny Aksenov and Bablu Sinha and has published in prestigious journals such as Geophysical Research Letters, Journal of Physical Oceanography and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

David Storkey

14 papers receiving 953 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Storkey United Kingdom	9	744	637	613	33	33	17	967
Daley Calvert United Kingdom	12	779 1.0×	732 1.1×	692 1.1×	38 1.2×	33 1.0×	15	1.1k
Alistair Sellar United Kingdom	15	726 1.0×	738 1.2×	342 0.6×	45 1.4×	48 1.5×	26	998
Ed Blockley United Kingdom	18	1.1k 1.5×	1.2k 1.9×	728 1.2×	53 1.6×	77 2.3×	47	1.6k
Nils Brüggemann Germany	12	397 0.5×	334 0.5×	302 0.5×	29 0.9×	24 0.7×	21	561
Elisabeth Rémy France	13	369 0.5×	306 0.5×	520 0.8×	41 1.2×	23 0.7×	29	666
Annie P. S. Wong United States	12	490 0.7×	425 0.7×	732 1.2×	59 1.8×	50 1.5×	21	888
Laura Feudale Italy	15	859 1.2×	692 1.1×	479 0.8×	42 1.3×	9 0.3×	22	988
Garrett Graham United States	6	584 0.8×	454 0.7×	497 0.8×	119 3.6×	27 0.8×	8	820
M. R. Ramesh Kumar India	18	647 0.9×	632 1.0×	589 1.0×	54 1.6×	13 0.4×	44	916
Caihong Wen United States	13	568 0.8×	520 0.8×	445 0.7×	29 0.9×	17 0.5×	25	683

Countries citing papers authored by David Storkey

Since Specialization

Citations

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

Fields of papers citing papers by David Storkey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Storkey

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

All Works

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17 of 17 papers shown

Guiavarc’h, Catherine, David Storkey, Adam T. Blaker, et al.. (2025). GOSI9: UK Global Ocean and Sea Ice configurations. Geoscientific model development. 18(2). 377–403.

Storkey, David, Pierre Mathiot, Michael J. Bell, et al.. (2025). Resolution dependence of interlinked Southern Ocean biases in global coupled HadGEM3 models. Geoscientific model development. 18(9). 2725–2745.

Jackson, Laura, Helene T. Hewitt, Diego Bruciaferri, et al.. (2023). Challenges simulating the AMOC in climate models. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 381(2262). 20220187–20220187. 12 indexed citations

Bell, Michael J., A. J. George Nurser, & David Storkey. (2023). Interpretation of Net Surface Heat Fluxes and Meridional Overturning Circulations in Global Coupled HadGEM3 Climate Simulations. Journal of Physical Oceanography. 53(6). 1555–1575.

Bell, Michael J., et al.. (2022). Spurious Forces Can Dominate the Vorticity Budget of Ocean Gyres on the C‐Grid. Journal of Advances in Modeling Earth Systems. 14(5). 5 indexed citations

Megann, Alex, Jérôme Chanut, & David Storkey. (2022). Assessment of the z^∼ Time‐Filtered Arbitrary Lagrangian‐Eulerian Coordinate in a Global Eddy‐Permitting Ocean Model. Journal of Advances in Modeling Earth Systems. 14(11). 4 indexed citations

Megann, Alex & David Storkey. (2021). Exploring Viscosity Space in an Eddy‐Permitting Global Ocean Model: Is Viscosity a Useful Control for Numerical Mixing?. Journal of Advances in Modeling Earth Systems. 13(5). 8 indexed citations

Storkey, David, Adam T. Blaker, Pierre Mathiot, et al.. (2018). UK Global Ocean GO6 and GO7: a traceable hierarchy of model resolutions. Geoscientific model development. 11(8). 3187–3213. 138 indexed citations

Kuhlbrodt, Till, Colin Jones, Alistair Sellar, et al.. (2018). The Low‐Resolution Version of HadGEM3 GC3.1: Development and Evaluation for Global Climate. Journal of Advances in Modeling Earth Systems. 10(11). 2865–2888. 168 indexed citations

10.

Blockley, Ed, Matthew Martin, A. J. McLaren, et al.. (2014). Recent development of the Met Office operational ocean forecasting system: an overview and assessment of the new Global FOAM forecasts. Geoscientific model development. 7(6). 2613–2638. 164 indexed citations

11.

Megann, Alex, David Storkey, Yevgeny Aksenov, et al.. (2014). GO5.0: the joint NERC–Met Office NEMO global ocean model for use in coupled and forced applications. Geoscientific model development. 7(3). 1069–1092. 136 indexed citations

12.

Shapiro, G. I., et al.. (2013). The effect of various vertical discretization schemes and horizontal diffusion parameterization on the performance of a 3-D ocean model: the Black Sea case study. Ocean science. 9(2). 377–390. 17 indexed citations

13.

Roberts, Christopher D., Jennifer Waters, K. Andrew Peterson, et al.. (2013). Atmosphere drives recent interannual variability of the Atlantic meridional overturning circulation at 26.5°N. Geophysical Research Letters. 40(19). 5164–5170. 75 indexed citations

14.

O’Dea, Enda, Alex Arnold, K. P. Edwards, et al.. (2012). An operational ocean forecast system incorporating NEMO and SST data assimilation for the tidally driven European North-West shelf. Journal of Operational Oceanography. 5(1). 3–17. 139 indexed citations

15.

Hyder, Patrick, David Storkey, Ed Blockley, et al.. (2012). Assessing equatorial surface currents in the FOAM Global and Indian Ocean models against observations from the global tropical moored buoy array. Journal of Operational Oceanography. 5(2). 25–39. 7 indexed citations

16.

Swart, Sebastiaan, et al.. (2012). Capturing convection in the northwest Mediterranean Sea: using underwater gliders to assess the performance of regional forecast models. Underwater Technology The International Journal of the Society for Underwater. 30(3). 135–149. 1 indexed citations

17.

Storkey, David, Ed Blockley, Rachel Furner, et al.. (2010). Forecasting the ocean state using NEMO:The new FOAM system. Journal of Operational Oceanography. 3(1). 3–15. 93 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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