J. de Grandpré

2.1k total citations
23 papers, 1.1k citations indexed

About

J. de Grandpré is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, J. de Grandpré has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atmospheric Science, 21 papers in Global and Planetary Change and 2 papers in Astronomy and Astrophysics. Recurrent topics in J. de Grandpré's work include Atmospheric Ozone and Climate (18 papers), Atmospheric and Environmental Gas Dynamics (17 papers) and Atmospheric chemistry and aerosols (17 papers). J. de Grandpré is often cited by papers focused on Atmospheric Ozone and Climate (18 papers), Atmospheric and Environmental Gas Dynamics (17 papers) and Atmospheric chemistry and aerosols (17 papers). J. de Grandpré collaborates with scholars based in Canada, United States and Germany. J. de Grandpré's co-authors include S. R. Beagley, V. I. Fomichev, J. C. McConnell, Theodore G. Shepherd, Adam A. Scaife, Fabrizio Sassi, Elisa Manzini, Ulrike Langematz, Kiyotaka Shibata and A. I. Jonsson and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

J. de Grandpré

23 papers receiving 1.0k citations

Peers

J. de Grandpré
P. Keckhut France
Francis J. Schmidlin United States
Zachary D. Lawrence United States
Cheryl Craig United States
B. Naujokat Germany
J. de Grandpré
Citations per year, relative to J. de Grandpré J. de Grandpré (= 1×) peers T. G. Shepherd

Countries citing papers authored by J. de Grandpré

Since Specialization
Citations

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

Fields of papers citing papers by J. de Grandpré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. de Grandpré

This figure shows the co-authorship network connecting the top 25 collaborators of J. de Grandpré. A scholar is included among the top collaborators of J. de Grandpré 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 J. de Grandpré. J. de Grandpré 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.
Mortezazadeh, Mohammad, et al.. (2024). Sweep interpolation: a cost-effective semi-Lagrangian scheme in the Global Environmental Multiscale model. Geoscientific model development. 17(1). 335–346. 1 indexed citations
2.
Qu, Zhipeng, Yi Huang, Paul Vaillancourt, et al.. (2020). Simulation of convective moistening of the extratropical lower stratosphere using a numerical weather prediction model. Atmospheric chemistry and physics. 20(4). 2143–2159. 12 indexed citations
3.
Ménard, Richard, Simon Chabrillat, Alain Robichaud, et al.. (2020). Coupled Stratospheric Chemistry–Meteorology Data Assimilation. Part I: Physical Background and Coupled Modeling Aspects. Atmosphere. 11(2). 150–150. 4 indexed citations
4.
Ménard, Richard, Pierre Gauthier, Yves Rochon, et al.. (2019). Coupled Stratospheric Chemistry–Meteorology Data Assimilation. Part II: Weak and Strong Coupling. Atmosphere. 10(12). 798–798. 8 indexed citations
5.
Polavarapu, Saroja, Monique Tanguay, Claude Girard, et al.. (2016). The impact of meteorological analysis uncertainties on the spatial scales resolvable in CO 2 model simulations. 1 indexed citations
6.
Polavarapu, Saroja, Monique Tanguay, Claude Girard, et al.. (2016). Greenhouse gas simulations with a coupled meteorological and transportmodel: the predictability of CO 2. Atmospheric chemistry and physics. 16(18). 12005–12038. 13 indexed citations
7.
Aliabadi, Amir A., Ralf M. Staebler, J. de Grandpré, Ayrton Zadra, & Paul Vaillancourt. (2016). Comparison of Estimated Atmospheric Boundary Layer Mixing Height in the Arctic and Southern Great Plains under Statically Stable Conditions: Experimental and Numerical Aspects. ATMOSPHERE-OCEAN. 54(1). 60–74. 23 indexed citations
8.
Grandpré, J. de, Monique Tanguay, Abdessamad Qaddouri, M. Zerroukat, & C. A. McLinden. (2015). Semi-Lagrangian Advection of Stratospheric Ozone on a Yin–Yang Grid System. Monthly Weather Review. 144(3). 1035–1050. 11 indexed citations
9.
Ménard, Richard, Simon Chabrillat, J. de Grandpré, et al.. (2010). Impact of energetic particle precipitation on stratospheric polar constituents: an assessment using monitoring and assimilation of operational MIPAS data. Atmospheric chemistry and physics. 10(4). 1739–1757. 5 indexed citations
10.
Melo, S. M. L., R. D. Blatherwick, J. Davies, et al.. (2008). Summertime stratospheric processes at northern mid-latitudes: comparisons between MANTRA balloon measurements and the Canadian Middle Atmosphere Model. Atmospheric chemistry and physics. 8(7). 2057–2071. 7 indexed citations
11.
Fomichev, V. I., A. I. Jonsson, J. de Grandpré, et al.. (2007). Response of the Middle Atmosphere to CO2 Doubling: Results from the Canadian Middle Atmosphere Model. Journal of Climate. 20(7). 1121–1144. 87 indexed citations
12.
Andersen, S. B., Elizabeth C. Weatherhead, J. Austin, et al.. (2006). Comparison of recent modeled and observed trends in total column ozone. Journal of Geophysical Research Atmospheres. 111(D2). 35 indexed citations
13.
Butchart, Neal, Adam A. Scaife, M. S. Bourqui, et al.. (2006). Simulations of anthropogenic change in the strength of the Brewer–Dobson circulation. Climate Dynamics. 27(7-8). 727–741. 314 indexed citations
14.
Fomichev, V. I., et al.. (2004). Model thermal response to minor radiative energy sources and sinks in the middle atmosphere. Journal of Geophysical Research Atmospheres. 109(D19). 22 indexed citations
15.
Andersen, S. B., J. Austin, C. Brühl, et al.. (2004). Comparison of modeled and observed stratospheric springtime maxima. Max Planck Institute for Plasma Physics. 155–156. 4 indexed citations
16.
Horinouchi, Takeshi, Steven Pawson, Kiyotaka Shibata, et al.. (2003). Tropical Cumulus Convection and Upward-Propagating Waves in Middle-Atmospheric GCMs. Journal of the Atmospheric Sciences. 60(22). 2765–2782. 90 indexed citations
17.
Jonsson, A. I., J. de Grandpré, & J. C. McConnell. (2002). A comparison of mesospheric temperatures from the Canadian Middle Atmosphere Model and HALOE observations: Zonal mean and signature of the solar diurnal tide. Geophysical Research Letters. 29(9). 5 indexed citations
18.
Grandpré, J. de, et al.. (1999). An introduction to stratospheric chemistry: Survey article. ATMOSPHERE-OCEAN. 37(4). 309–367. 10 indexed citations
19.
Beagley, S. R., J. de Grandpré, John N. Koshyk, N. A. McFarlane, & Theodore G. Shepherd. (1997). Radiative‐dynamical climatology of the first‐generation Canadian middle atmosphere model. ATMOSPHERE-OCEAN. 35(3). 293–331. 144 indexed citations
20.
Grandpré, J. de, et al.. (1997). Canadian middle atmosphere model: Preliminary results from the chemical transport module. ATMOSPHERE-OCEAN. 35(4). 385–431. 40 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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