Daniel J. Lea

3.1k total citations
36 papers, 1.4k citations indexed

About

Daniel J. Lea is a scholar working on Oceanography, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Daniel J. Lea has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oceanography, 26 papers in Global and Planetary Change and 23 papers in Atmospheric Science. Recurrent topics in Daniel J. Lea's work include Oceanographic and Atmospheric Processes (26 papers), Climate variability and models (25 papers) and Meteorological Phenomena and Simulations (18 papers). Daniel J. Lea is often cited by papers focused on Oceanographic and Atmospheric Processes (26 papers), Climate variability and models (25 papers) and Meteorological Phenomena and Simulations (18 papers). Daniel J. Lea collaborates with scholars based in United Kingdom, United States and France. Daniel J. Lea's co-authors include Matthew Martin, Thomas W. N. Haine, Isabelle Mirouze, Jennifer Waters, Myles Allen, Ed Blockley, Keith Haines, David Storkey, James While and Anthony Weaver and has published in prestigious journals such as Geophysical Research Letters, Monthly Weather Review and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Daniel J. Lea

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Lea United Kingdom 20 908 880 783 136 68 36 1.4k
Pavel Berloff United Kingdom 28 1.3k 1.5× 1.6k 1.9× 1.2k 1.5× 105 0.8× 224 3.3× 84 2.0k
Balasubramanya Nadiga United States 16 428 0.5× 397 0.5× 438 0.6× 108 0.8× 326 4.8× 46 968
Ian Grooms United States 18 484 0.5× 416 0.5× 462 0.6× 54 0.4× 211 3.1× 69 874
Yannick Trémolet United Kingdom 12 1.1k 1.2× 339 0.4× 1.1k 1.4× 46 0.3× 75 1.1× 16 1.4k
Leonid I. Piterbarg United States 18 348 0.4× 595 0.7× 390 0.5× 63 0.5× 98 1.4× 49 900
Norman W. Scheffner United States 12 244 0.3× 659 0.7× 641 0.8× 110 0.8× 48 0.7× 38 1.2k
Mu Mu China 20 795 0.9× 422 0.5× 816 1.0× 29 0.2× 30 0.4× 68 1.1k
Mohamed Iskandarani United States 23 467 0.5× 801 0.9× 779 1.0× 55 0.4× 359 5.3× 68 1.6k
Pedram Hassanzadeh United States 19 644 0.7× 174 0.2× 731 0.9× 182 1.3× 194 2.9× 60 1.2k
Joseph G. Sela United States 16 811 0.9× 238 0.3× 964 1.2× 34 0.3× 103 1.5× 27 1.2k

Countries citing papers authored by Daniel J. Lea

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Lea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Lea. 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 Daniel J. Lea. The network helps show where Daniel J. Lea may publish in the future.

Co-authorship network of co-authors of Daniel J. Lea

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

All Works

20 of 20 papers shown
1.
Bell, Michael J., Ed Blockley, Daley Calvert, et al.. (2024). The Met Office Forecast Ocean Assimilation Model (FOAM) using a 1/12‐degree grid for global forecasts. Quarterly Journal of the Royal Meteorological Society. 150(763). 3827–3852. 9 indexed citations
2.
Lawless, Amos S., et al.. (2024). Assessment of short‐range forecast error atmosphere–ocean cross‐correlations from the Met Office coupled numerical weather prediction system. Quarterly Journal of the Royal Meteorological Society. 150(762). 2783–2797.
3.
Mitra, Ashis K., et al.. (2023). Evaluation of global ocean analysis and forecast system in the Tropical Indian Ocean. Journal of Earth System Science. 132(3). 2 indexed citations
4.
Lawless, Amos S., et al.. (2022). The impact of hybrid oceanic data assimilation in a coupled model: A case study of a tropical cyclone. Quarterly Journal of the Royal Meteorological Society. 148(746). 2410–2430.
5.
Lea, Daniel J., James While, Matthew Martin, et al.. (2022). A new global ocean ensemble system at the Met Office: Assessing the impact of hybrid data assimilation and inflation settings. Quarterly Journal of the Royal Meteorological Society. 148(745). 1996–2030. 11 indexed citations
6.
Mitra, Ashis K., et al.. (2022). Use and Impact of Satellite-Derived SST Data in a Global Ocean Assimilation System Over the Tropical Indian Ocean. Journal of the Indian Society of Remote Sensing. 51(2). 269–287. 1 indexed citations
7.
Mitra, Ashis K., Sean Milton, Gill Martin, et al.. (2021). Skill of the extended range prediction (NERP) for Indian summer monsoon rainfall with NCMRWF global coupled modelling system. Quarterly Journal of the Royal Meteorological Society. 148(742). 480–498. 5 indexed citations
8.
Guiavarc’h, Catherine, et al.. (2019). Assessment of ocean analysis and forecast from an atmosphere–ocean coupled data assimilation operational system. Ocean science. 15(5). 1307–1326. 21 indexed citations
9.
King, Robert R., Daniel J. Lea, Matthew Martin, Isabelle Mirouze, & Julian Heming. (2019). The impact of Argo observations in a global weakly coupled ocean–atmosphere data assimilation and short‐range prediction system. Quarterly Journal of the Royal Meteorological Society. 146(726). 401–414. 7 indexed citations
10.
King, Robert R., James While, Matthew Martin, et al.. (2018). Improving the initialisation of the Met Office operational shelf-seas model. Ocean Modelling. 130. 1–14. 28 indexed citations
11.
Mirouze, Isabelle, Ed Blockley, Daniel J. Lea, Matthew Martin, & Michael J. Bell. (2016). A multiple length scale correlation operator for ocean data assimilation. Tellus A Dynamic Meteorology and Oceanography. 68(1). 29744–29744. 41 indexed citations
12.
Martin, Matthew, Magdalena Balmaseda, Laurent Bertino, et al.. (2015). Status and future of data assimilation in operational oceanography. Journal of Operational Oceanography. 8(sup1). s28–s48. 57 indexed citations
13.
Lea, Daniel J., Isabelle Mirouze, Matthew Martin, et al.. (2015). Assessing a New Coupled Data Assimilation System Based on the Met Office Coupled Atmosphere–Land–Ocean–Sea Ice Model. Monthly Weather Review. 143(11). 4678–4694. 90 indexed citations
14.
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
15.
Lea, Daniel J., Matthew Martin, & Peter R. Oke. (2013). Demonstrating the complementarity of observations in an operational ocean forecasting system. Quarterly Journal of the Royal Meteorological Society. 140(683). 2037–2049. 32 indexed citations
16.
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
17.
Ford, David, K. P. Edwards, Daniel J. Lea, et al.. (2012). Assimilating GlobColour ocean colour data into a pre-operational physical-biogeochemical model. Ocean science. 8(5). 751–771. 44 indexed citations
18.
Haines, Keith, Daniel J. Lea, & R. Bingham. (2011). Using the GOCE MDT in Ocean Data Assimilation. ESASP. 696. 27. 3 indexed citations
19.
Haines, Keith, Johnny A. Johannessen, Per Knudsen, et al.. (2011). An ocean modelling and assimilation guide to using GOCE geoid products. Ocean science. 7(1). 151–164. 19 indexed citations
20.
Lea, Daniel J., Thomas W. N. Haine, Myles Allen, & James A. Hansen. (2002). Sensitivity analysis of the climate of a chaotic ocean circulation model. Quarterly Journal of the Royal Meteorological Society. 128(586). 2587–2605. 35 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Pavel Berloff Breakdown of academic impact, for papers by Balasubramanya Nadiga Breakdown of academic impact, for papers by Ian Grooms Breakdown of academic impact, for papers by Yannick Trémolet Breakdown of academic impact, for papers by Leonid I. Piterbarg Breakdown of academic impact, for papers by Norman W. Scheffner Breakdown of academic impact, for papers by Mu Mu Breakdown of academic impact, for papers by Mohamed Iskandarani Breakdown of academic impact, for papers by Pedram Hassanzadeh Breakdown of academic impact, for papers by Joseph G. Sela
Rankless by CCL
2026