David Simonin

768 total citations
17 papers, 455 citations indexed

About

David Simonin is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, David Simonin has authored 17 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 15 papers in Global and Planetary Change and 4 papers in Environmental Engineering. Recurrent topics in David Simonin's work include Meteorological Phenomena and Simulations (15 papers), Climate variability and models (14 papers) and Precipitation Measurement and Analysis (5 papers). David Simonin is often cited by papers focused on Meteorological Phenomena and Simulations (15 papers), Climate variability and models (14 papers) and Precipitation Measurement and Analysis (5 papers). David Simonin collaborates with scholars based in United Kingdom, Germany and Austria. David Simonin's co-authors include Susan Ballard, Sarah L. Dance, Joanne A. Waller, Nancy Nichols, Zhihong Li, Jean‐François Caron, Sue Ballard, Graeme Kelly, Anthony Illingworth and Susan Rennie and has published in prestigious journals such as Geophysical Research Letters, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

David Simonin

16 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Simonin United Kingdom 12 416 374 84 48 18 17 455
Robert A. Warren Australia 12 455 1.1× 350 0.9× 123 1.5× 27 0.6× 15 0.8× 23 498
Takeshi Maesaka Japan 12 310 0.7× 230 0.6× 69 0.8× 33 0.7× 26 1.4× 42 360
A. K. Mitra India 8 351 0.8× 307 0.8× 51 0.6× 58 1.2× 19 1.1× 38 408
Alain Caya Canada 12 502 1.2× 315 0.8× 65 0.8× 80 1.7× 7 0.4× 24 529
Lanqiang Bai China 16 603 1.4× 519 1.4× 43 0.5× 50 1.0× 6 0.3× 36 638
Munehisa K. Yamamoto Japan 11 382 0.9× 276 0.7× 75 0.9× 33 0.7× 18 1.0× 28 419
M. M. Schreier United States 12 425 1.0× 396 1.1× 51 0.6× 22 0.5× 8 0.4× 28 482
Nicolas Viltard France 15 551 1.3× 358 1.0× 123 1.5× 85 1.8× 8 0.4× 34 569
Morten Køltzow Norway 11 441 1.1× 329 0.9× 33 0.4× 33 0.7× 8 0.4× 22 467

Countries citing papers authored by David Simonin

Since Specialization
Citations

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

Fields of papers citing papers by David Simonin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Simonin

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

All Works

17 of 17 papers shown
1.
2.
Dance, Sarah L., Alison Fowler, David Simonin, et al.. (2025). On methods for assessment of the value of observations in convection‐permitting data assimilation and numerical weather forecasting. Quarterly Journal of the Royal Meteorological Society. 151(768). 1 indexed citations
3.
4.
Simonin, David, et al.. (2021). Radar reflectivity assimilation using hourly cycling4D‐Varin the Met Office Unified Model. Quarterly Journal of the Royal Meteorological Society. 147(736). 1516–1538. 11 indexed citations
5.
Fowler, Alison, David Simonin, & Joanne A. Waller. (2020). Measuring Theoretical and Actual Observation Influence in the Met Office UKV: Application to Doppler Radial Winds. Geophysical Research Letters. 47(24). 3 indexed citations
6.
Waller, Joanne A., et al.. (2019). Observation Error Statistics for Doppler Radar Radial Wind Superobservations Assimilated into the DWD COSMO-KENDA System. Monthly Weather Review. 147(9). 3351–3364. 17 indexed citations
7.
Simonin, David, Joanne A. Waller, Susan Ballard, Sarah L. Dance, & Nancy Nichols. (2019). A pragmatic strategy for implementing spatially correlated observation errors in an operational system: An application to Doppler radial winds. Quarterly Journal of the Royal Meteorological Society. 145(723). 2772–2790. 28 indexed citations
8.
Simonin, David, Clive Pierce, Nigel Roberts, Susan Ballard, & Zhihong Li. (2017). Performance of Met Office hourly cycling NWP‐based nowcasting for precipitation forecasts. Quarterly Journal of the Royal Meteorological Society. 143(708). 2862–2873. 30 indexed citations
9.
Li, Zhihong, Susan Ballard, & David Simonin. (2017). Comparison of 3D‐Var and 4D‐Var data assimilation in an NWP‐based system for precipitation nowcasting at the Met Office. Quarterly Journal of the Royal Meteorological Society. 144(711). 404–413. 17 indexed citations
10.
Waller, Joanne A., David Simonin, Sarah L. Dance, Nancy Nichols, & Susan Ballard. (2016). Diagnosing Observation Error Correlations for Doppler Radar Radial Winds in the Met Office UKV Model Using Observation-Minus-Background and Observation-Minus-Analysis Statistics. Monthly Weather Review. 144(10). 3533–3551. 61 indexed citations
11.
Waller, Joanne A., Susan Ballard, Sarah L. Dance, et al.. (2016). Diagnosing Horizontal and Inter-Channel Observation Error Correlations for SEVIRI Observations Using Observation-Minus-Background and Observation-Minus-Analysis Statistics. Remote Sensing. 8(7). 581–581. 51 indexed citations
12.
Ballard, Susan, Zhihong Li, David Simonin, & Jean‐François Caron. (2015). Performance of 4D‐Var NWP‐based nowcasting of precipitation at the Met Office for summer 2012. Quarterly Journal of the Royal Meteorological Society. 142(694). 472–487. 63 indexed citations
13.
Simonin, David, et al.. (2013). Doppler radar radial wind assimilation using an hourly cycling 3D‐Var with a 1.5 km resolution version of the Met Office Unified Model for nowcasting. Quarterly Journal of the Royal Meteorological Society. 140(684). 2298–2314. 59 indexed citations
14.
Golding, Brian, Sue Ballard, Ken Mylne, et al.. (2013). Forecasting Capabilities for the London 2012 Olympics. Bulletin of the American Meteorological Society. 95(6). 883–896. 43 indexed citations
15.
Rennie, Susan, Sarah L. Dance, Anthony Illingworth, Sue Ballard, & David Simonin. (2010). 3D-Var Assimilation of Insect-Derived Doppler Radar Radial Winds in Convective Cases Using a High-Resolution Model. Monthly Weather Review. 139(4). 1148–1163. 35 indexed citations
16.
Simonin, David, A.R.L. Tatnall, & I. S. Robinson. (2009). The automated detection and recognition of internal waves. International Journal of Remote Sensing. 30(17). 4581–4598. 22 indexed citations
17.
Ridley, Jeff, Jason Lowe, & David Simonin. (2007). The demise of Arctic sea ice during stabilisation at high greenhouse gas concentrations. Climate Dynamics. 30(4). 333–341. 10 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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