David Richardson

4.6k total citations
70 papers, 2.7k citations indexed

About

David Richardson is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, David Richardson has authored 70 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Global and Planetary Change, 47 papers in Atmospheric Science and 5 papers in Environmental Engineering. Recurrent topics in David Richardson's work include Meteorological Phenomena and Simulations (47 papers), Climate variability and models (43 papers) and Atmospheric and Environmental Gas Dynamics (15 papers). David Richardson is often cited by papers focused on Meteorological Phenomena and Simulations (47 papers), Climate variability and models (43 papers) and Atmospheric and Environmental Gas Dynamics (15 papers). David Richardson collaborates with scholars based in United Kingdom, United States and Germany. David Richardson's co-authors include T. N. Palmer, Florian Pappenberger, Čedo Branković, Roberto Buizza, Thomas Haiden, Fredrik Wetterhall, Ervin Zsótér, M. J. Rodwell, Hannah Cloke and Christopher A. T. Ferro and has published in prestigious journals such as Geophysical Research Letters, Journal of Hydrology and Monthly Weather Review.

In The Last Decade

David Richardson

66 papers receiving 2.6k 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 Richardson United Kingdom 26 2.2k 2.0k 427 352 220 70 2.7k
Eric Gilleland United States 25 2.2k 1.0× 1.6k 0.8× 522 1.2× 406 1.2× 184 0.8× 70 2.9k
Olivier Mestre France 22 1.3k 0.6× 1.1k 0.6× 191 0.4× 217 0.6× 92 0.4× 41 2.2k
T. Aina United Kingdom 10 1.4k 0.6× 991 0.5× 234 0.5× 88 0.3× 103 0.5× 13 1.9k
Yuejian Zhu United States 24 2.4k 1.1× 2.3k 1.2× 429 1.0× 493 1.4× 218 1.0× 67 2.9k
Seth McGinnis United States 19 1.5k 0.7× 1.0k 0.5× 310 0.7× 272 0.8× 49 0.2× 39 2.2k
Nikolina Ban Switzerland 22 3.5k 1.6× 3.1k 1.6× 500 1.2× 294 0.8× 155 0.7× 34 4.0k
Gianfausto Salvadori Italy 26 3.3k 1.5× 1.1k 0.5× 1.4k 3.2× 422 1.2× 311 1.4× 43 4.1k
M. Lang France 30 3.1k 1.4× 1.2k 0.6× 1.9k 4.3× 323 0.9× 109 0.5× 89 3.8k
Radan Huth Czechia 34 3.4k 1.5× 3.0k 1.5× 312 0.7× 480 1.4× 342 1.6× 103 4.1k
Linus Magnusson United Kingdom 27 2.1k 0.9× 2.0k 1.0× 181 0.4× 205 0.6× 526 2.4× 82 2.6k

Countries citing papers authored by David Richardson

Since Specialization
Citations

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

Fields of papers citing papers by David Richardson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Richardson

This figure shows the co-authorship network connecting the top 25 collaborators of David Richardson. A scholar is included among the top collaborators of David Richardson 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 Richardson. David Richardson 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.
Korhonen, Natalia, Otto Hyvärinen, Virpi Kollanus, et al.. (2025). The probabilistic skill of extended-range heat wave forecasts over Europe. Natural hazards and earth system sciences. 25(6). 1865–1879. 1 indexed citations
2.
Richardson, David, Hannah Cloke, John Methven, & Florian Pappenberger. (2023). Jumpiness in Ensemble Forecasts of Atlantic Tropical Cyclone Tracks. Weather and Forecasting. 39(1). 203–215. 1 indexed citations
3.
Lavers, David A., Ryan D. Torn, Chris Davis, et al.. (2023). Forecast evaluation of the North Pacific jet stream using AR Recon dropwindsondes. Quarterly Journal of the Royal Meteorological Society. 149(756). 3044–3063. 5 indexed citations
4.
Bouallègue, Zied Ben & David Richardson. (2022). On the ROC Area of Ensemble Forecasts for Rare Events. Weather and Forecasting. 37(5). 787–796. 13 indexed citations
5.
Richardson, David, Hannah Cloke, & Florian Pappenberger. (2020). Evaluation of the Consistency of ECMWF Ensemble Forecasts. Geophysical Research Letters. 47(11). 11 indexed citations
6.
Day, Jonathan J., Gabriele Arduini, Irina Sandu, et al.. (2020). Measuring the Impact of a New Snow Model Using Surface Energy Budget Process Relationships. Journal of Advances in Modeling Earth Systems. 12(12). 12 indexed citations
7.
Lavers, David A., Maria‐Helena Ramos, Linus Magnusson, et al.. (2020). A Vision for Hydrological Prediction. Atmosphere. 11(3). 237–237. 23 indexed citations
8.
Korhonen, Natalia, Otto Hyvärinen, Matti Kämäräinen, et al.. (2020). Adding value to extended-range forecasts in northern Europe by statistical post-processing using stratospheric observations. Atmospheric chemistry and physics. 20(14). 8441–8451. 2 indexed citations
9.
Rodwell, M. J., Jeffrey Hammond, Sherry Thornton, & David Richardson. (2020). User decisions, and how these could guide developments in probabilistic forecasting. Quarterly Journal of the Royal Meteorological Society. 146(732). 3266–3284. 8 indexed citations
10.
Lavers, David A., M. J. Rodwell, David Richardson, et al.. (2018). The Gauging and Modeling of Rivers in the Sky. Geophysical Research Letters. 45(15). 7828–7834. 34 indexed citations
11.
Richardson, David, et al.. (2018). Australia, we need to talk about revenue. 1 indexed citations
12.
Pappenberger, Florian, Hannah Cloke, Fredrik Wetterhall, et al.. (2015). The Financial Benefit of Early Flood Warnings in Europe. EGUGA. 7438. 1 indexed citations
13.
Alfieri, Lorenzo, Florian Pappenberger, Fredrik Wetterhall, et al.. (2014). Evaluation of ensemble streamflow predictions in Europe. Journal of Hydrology. 517. 913–922. 121 indexed citations
14.
Pappenberger, Florian, Gerd Jendritzky, Henning Staiger, et al.. (2014). Global forecasting of thermal health hazards: the skill of probabilistic predictions of the Universal Thermal Climate Index (UTCI). International Journal of Biometeorology. 59(3). 311–323. 83 indexed citations
15.
Dutra, Emanuel, Michail Diamantakis, Ervin Zsótér, et al.. (2013). The extreme forecast index at the seasonal scale. Atmospheric Science Letters. 14(4). 256–262. 17 indexed citations
16.
Andrews, Matthew, et al.. (2011). Kakadu: vulnerability to climate change impacts.. 9 indexed citations
17.
Zsótér, Ervin, Roberto Buizza, & David Richardson. (2009). “Jumpiness” of the ECMWF and Met Office EPS Control and Ensemble-Mean Forecasts. Monthly Weather Review. 137(11). 3823–3836. 34 indexed citations
18.
Sætra, Øyvind, Hans Hersbach, Jean‐Raymond Bidlot, & David Richardson. (2004). Effects of Observation Errors on the Statistics for Ensemble Spread and Reliability. Monthly Weather Review. 132(6). 1487–1501. 79 indexed citations
19.
Palmer, T. N., Čedo Branković, & David Richardson. (2000). A probability and decision-model analysis of PROVOST seasonal multi-model ensemble integrations. Quarterly Journal of the Royal Meteorological Society. 126(567). 2013–2033. 117 indexed citations
20.
Buizza, Roberto, Jan Barkmeijer, T. N. Palmer, & David Richardson. (2000). Current status and future developments of the ECMWF Ensemble Prediction System. Meteorological Applications. 7(2). 163–175. 55 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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