Philippe Lucas-Picher

Liens d'intérêt
Informations générales

Cheminement académique

2003-2007 - Ph.D. en sciences de l'environnement, Université du Québec à Montréal
Titre de la thèse: Caractérisation de la variabilité interne des modèles régionaux de climat

2000-2002 - M.Sc. en sciences de l'atmosphère, Université du Québec à Montréal
Titre du mémoire: Implémentation d'un schéma de routage dans le Modèle Régional Canadien du Climat

1997-2000 - B.Sc. en physique à l'Université du Québec à Montréal

Unités de recherche

  • Centre pour l'étude et la simulation du climat à l'échelle régionale (ESCER)
Enseignement

Publications

Articles scientifiques
  • Michau, Y., Lemonsu, A. Lucas-Picher, P., Bastin, S., Caillaud, C., de Vries, H., Adinolfi, M., Raffa, M., Katrakgou, E. et Coppola, E. (soumis). Projected evolution of the urban climate and heatwaves using an ensemble of convection-permitting regional climate models. Climatic Change.
  • Ghosh, S., Lucas-Picher, P., Roy, P., Gachon, P. et Di Luca, A. (2025). Optimal configuration of a convection-permitting regional climate model in simulating precipitation extremes: The Saguenay flood. Journal of Hydrometeorology, 26(11), 1751–1774. http://dx.doi.org/10.1175/JHM-D-25-0011.1.
  • Poncet, N., Tramblay, Y., Lucas-Picher, P. Thirel, G. et Caillaud, C. (2025). Projections of extreme rainfall and floods in Mediterranean basins from an ensemble of convection-permitting models. Climatic Change, 178, article 141. http://dx.doi.org/10.1007/s10584-025-03983-8.
  • Poncet, N., Lucas-Picher, P., Tramblay, Y., Thirel, G., Vergara, H., Gourley, J. et Alias, A. (2024). Does a convection-permitting regional climate model bring new perspectives on the projection of Mediterranean floods? Natural Hazards and Earth System Sciences, 24(4), 1163–1183. http://dx.doi.org/10.5194/nhess-24-1163-2024.
  • Cortes-Hernandez, V.E., Caillaud, C., Bellon, G., Brisson, E., Alias, A. et Lucas-Picher, P. (2024). Evaluation of the convection permitting regional climate model CNRM-AROME on the orographically complex island of Corsica. Climate Dynamics, 62, 4673–4696. http://dx.doi.org/10.1007/s00382-024-07232-z.
  • Lucas-Picher, P., Brisson, E., Caillaud, C., Alias, A., Nabat, P., Lemonsu, A., Poncet, N., Cortes Hernandez, V.E., Michau, Y., Doury, A., Monteiro, D. et Somot, S. (2024). Evaluation of the convection-permitting regional climate model CNRM-AROME41t1 over northwestern Europe. Climate Dynamics, 62, 4587–4615. http://dx.doi.org/10.1007/s00382-022-06637-y.
  • Michau, Y., Lemonsu, A., Lucas-Picher, P., Schneider, M. et Caillaud, C. (2024). On the future evolution of heatwaves in French cities and associated rural areas: insights from a Convection-Permitting Model. Urban Climate, 55, article 101920. http://dx.doi.org/10.1016/j.uclim.2024.101920.
  • Roberge, F., Di Luca, A., Laprise, R., Lucas-Picher, P. et Thériault, J. (2024). Spatial spin-up of precipitation in limited-area convection-permitting simulations over North America using the CRCM6/GEM5.0 model. Geoscientific Model Development, 17(4), 1497–1510. http://dx.doi.org/10.5194/gmd-17-1497-2024.
  • Michau, Y., Lemonsu, A., Lucas-Picher, P. et Caillaud, C. (2023). Evaluation of the urban heat island of 12 cities of France in a high-resolution regional climate model simulation. Urban climate, 47, article 101386. http://dx.doi.org/10.1016/j.uclim.2022.101386.
  • Ricard, S., Lucas-Picher, P., Thiboult, A. et Anctil, F. (2023). Producing reliable hydrologic scenarios from raw climate model outputs without resorting to meteorological observations. Hydrology and Earth System Sciences, 27(12), 2375–2395. http://dx.doi.org/10.5194/hess-27-2375-2023.
  • Lemonsu, A., Caillaud, C., Alias, A., Riette, S., Seity, Y., Le Roy, B., Michau, Y. et Lucas-Picher, P. (2023). What added value of CNRM-AROME convection-permitting regional climate model compared to CNRM-ALADIN regional climate model for urban climate studies ? Evaluation over Paris area (France). Climate Dynamics, 61(3-4), 1643–1661. http://dx.doi.org/10.1007/s00382-022-06647-w.
  • Martel, J.-L., Brissette, F., Troin, M., Arsenault, R., Chen, J., Su, T. et Lucas-Picher, P. (2022). CMIP5 and CMIP6 Model Projection Comparison for Hydrological Impacts over North America. Geophysical Research Letters, 49(15), article e2022GL098364. http://dx.doi.org/10.1029/2022GL098364.
  • Sebok, E., Henriksen, H.J., Pastén-Zapata, E., Berg, P., Thirel, G., Lemoine, A., Lira-Loarca, A., Photiadou, C., Pimentel, R., Royer-Gaspard, P., Kjellström, E., Christensen, J.H­., Vidal, J.-P., Lucas-Picher, P., Donat, M.G., Besio, G., Polo, M.J., Stisen, S., Caballero, Y.... Refsgaard, J.C. (2022). Use of expert elicitation to assign weights to climate and hydrological models in climate impact studies. Hydrology and Earth System Sciences, 26(21), 5605–5625. http://dx.doi.org/10.5194/hess-26-5605-2022.
  • Martel, J.-L., Brissette, F.P., Troin, M., Lucas-Picher, P. et Arsenault, R. (2021). Climate change and rainfall intensity-duration-frequency curves: Overview of science and guidelines for adaptation. Journal of Hydrological Engineering, 26(10). http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0002122.
  • Brisson, E., Blahak, U., Lucas-Picher, P., Purr, C. et Ahrens, B. (2021). Contrasting lightning projection using the lightning potential index adapted in a convection-permitting regional climate model. Climate Dynamics, 57(7-8), 2037–2051. http://dx.doi.org/10.1007/s00382-021-05791-z.
  • Lucas-Picher, P., Argüeso, D., Brisson, E., Tramblay, Y., Berg, P., Lemonsu, A., Kotlarski, S. et Caillaud, C. (2021). Convection-permitting modeling with regional climate models: Latest developments and next steps. WIREs Climate Change (Wiley Interdisciplinary Reviews. Climate Change), 12(6), article e731. http://dx.doi.org/10.1002/wcc.731.
  • Tramblay, Y., Ribes, A., Somot, S., Neppel, L., Lucas-Picher, P., Vinet, F. et Sauquet, E. (2021). Impacts du changement climatique sur les pluies intenses et les crues en méditerannée. La Houille Blanche, 107(1), 1–5. http://dx.doi.org/10.1080/00186368.2021.1912971.
  • Lucas-Picher, P., Lachance-Cloutier, S., Arsenault, R., Poulin, A., Ricard, S., Turcotte, R. et Brissette, F. (2021). Will evolving climate conditions increase the risk of floods of the large U.S.-Canada transboundary Richelieu River basin? JAWRA: Journal of the American Water Resources Association, 57(1), 32–56. http://dx.doi.org/10.1111/1752-1688.12891.
  • Lucas-Picher, P., Arsenault, R., Poulin, A., Ricard, S., Lachance-Cloutier, S. et Turcotte, R. (2020). Application of a high‐resolution distributed hydrological model on a U.S.‐Canada transboundary basin: Simulation of the multiyear mean annual hydrograph and 2011 flood of the Richelieu River basin. JAMES: Journal of Advances in Modeling Earth Systems, 12(4), article e2019MS001709. http://dx.doi.org/10.1029/2019MS001709.
  • Glisan, J.M., Jones, R., Lennard, C., Castillo Pérez, N.I., Lucas-Picher, P., Rinke, A., Solman, S. et Gutowski, W.J. (2019). A metrics-based analysis of seasonal daily precipitation and near-surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains. Atmospheric Science Letters, 20(5), article e897. http://dx.doi.org/10.1002/asl.897.
  • Takhsha, M., Nikiéma, O., Lucas-Picher, P., Hernandez-Diaz, L. et Winger, K. (2018). Dynamical downscaling with the fifth-generation Canadian Regional Climate Model (CRCM5) over the CORDEX Arctic domain: Effect of large-scale spectral nudging and of empirical correction of sea-surface temperature. Climate Dynamics, 51(1-2), 161–186. http://dx.doi.org/10.1007/s00382-017-3912-6.
  • Lucas-Picher, P., Laprise, R. et Winger, K. (2017). Evidence of added value in North American regional climate model hindcast simulations using ever-increasing horizontal resolutions. Climate Dynamics, 48(7-8), 2611–2633. http://dx.doi.org/10.1007/s00382-016-3227-z.
  • Essou, G.R.C., Brissette, F. et Lucas-Picher, P. (2017). Impacts of combining reanalyses and weather station data on the accuracy of discharge modelling. Journal of Hydrology, (545), 120–131. http://dx.doi.org/10.1016/j.jhydrol.2016.12.021.
  • Chen, J., Brissette, F., Lucas-Picher, P. et Caya, D. (2017). Impacts of weighting climate models for hydro-meteorological climate change studies. Journal of Hydrology, 549, 534–546. http://dx.doi.org/10.1016/j.jhydrol.2017.04.025.
  • Matte, D., Laprise, R., Thériault, J.M. et Lucas-Picher, P. (2017). Spatial spin-up of fine scales in a regional climate model simulation driven by low-resolution boundary conditions. Cimate Dynamics, 49(1-2), 563–574. http://dx.doi.org/10.1007/s00382-016-3358-2.
  • Essou, G.R.C., Brissette, F. et Lucas-Picher, P. (2017). The use of reanalyses and gridded observations as weather input data for a hydrological model: comparison of performances of simulated river flows based on the density of weather stations. Journal of Hydrometeorology, (18), 497–513. http://dx.doi.org/10.1175/JHM-D-16-0088.1.
  • Essou, G.R.C., Sabarly, F., Lucas-Picher, P., Brissette, F. et Poulin, A. (2016). Can precipitation and temperature from meteorological reanalyses be used for hydrological modeling? Journal of Hydrometeorology, 17(7), 1929–1950. http://dx.doi.org/10.1175/JHM-D-15-0138.1.
  • Lucas-Picher, P., Cattiaux, J., Bougie, A. et Laprise, R. (2016). How does large-scale nudging in a regional climate model contribute to improving the simulation of weather regimes and seasonal extremes over North America? Climate Dynamics, 46(3-4), 929–948. http://dx.doi.org/10.1007/s00382-015-2623-0.
  • Chen, J., Brissette, F., Lucas-Picher, P. et Caya, D. (2016). Transferability of optimally selected climate models in the quantification of climate change impacts on hydrology. Climate Dynamics, 47(9-10), 3359–3372. http://dx.doi.org/10.1007/s00382-016-3030-x.
  • Sabarly, F., Essou, G., Lucas-Picher, P., Poulin, A. et Brissette, F. (2016). Use of four reanalysis datasets to assess the terrestrial branch of the water cycle over Quebec, Canada. Journal of Hydrometeorology, 17(5), 1447–1466. http://dx.doi.org/10.1175/JHM-D-15-0093.1.
  • Chen, J., Gauvin St-Denis, B., Brissette, F. et Lucas-Picher, P. (2016). Using natural variability as a baseline to evaluate the performance of bias correction methods in hydrological climate change impact studies. Journal of Hydrometeorology, 17(8), 2155–2174. http://dx.doi.org/10.1175/JHM-D-15-0099.1.
  • Chen, J., Brissette, F.P. et Lucas-Picher, P. (2015). Assessing the limits of bias-correcting climate model outputs for climate change impact studies. Journal of Geophysical Research: Oceans, 120(3), 1123–1136. http://dx.doi.org/10.1002/2014JD022635.
  • Lucas-Picher, P., Riboust, P., Somot, S. et Laprise, R. (2015). Reconstruction of the spring 2011 Richelieu River flood by two regional climate models and a hydrological model. Journal of Hydrometeorology, 16(1), 36–54. http://dx.doi.org/10.1175/JHM-D-14-0116.1.
  • Tuinenburg, O.A., Hutjes, R.W.A., Stacke, T., Wiltshire, A. et Lucas-Picher, P. (2014). Effects of Irrigation in India on the Atmospheric Water Budget. Journal of Hydrometeorology, 15(3), 1028–1050. http://dx.doi.org/10.1175/JHM-D-13-078.1.
  • Adalgeirsdottir, G., Aschwanden, A., Khroulev, C., Boberg, F., Mottram, R., Lucas-Picher, P. et Christensen, J.H. (2014). Role of model initialization for projections of 21st-century Greenland ice sheet mass loss. Journal of Glaciology, 60(222), 782–794. http://dx.doi.org/10.3189/2014JoG13J202.
  • Simonsen, S., Stenseng, L., Adalgeirsdottir, G., Fausto, R., Hvidberg, C. et Lucas-Picher, P. (2013). Assessing a multi-layered dynamic firn-compaction model for Greenland with ASIRAS radar measurements. Journal of Glaciology, 59(215), 545–558. http://dx.doi.org/10.3189/2013JoG12J158.
  • Kumar, P., Wiltshire, A., Mathison, C., Asharaf, S., Ahrens, B., Lucas-Picher, P., Christensen, J.H., Gobiet, A., Saeed, F., Hagemann, S. et Jacob, D. (2013). Downscaled climate change projections with uncertainty assessment over India using a high resolution multi-model approach. Science of the Total Environment, 468–469(suppl. 1), S18–S30. http://dx.doi.org/10.1016/j.scitotenv.2013.01.051.
  • Lucas-Picher, P., Boberg, F., Christensen, J. et Berg, P. (2013). Dynamical downscaling with reinitializations: a method to generate finescale climate datasets suitable for impact studies. Journal of Hydrometeorology, 14(4), 1159–1174. http://dx.doi.org/10.1175/JHM-D-12-063.1.
  • Lucas-Picher, P., Somot, S., Déqué, M., Decharme, B. et Alias, A. (2013). Evaluation of the regional climate model ALADIN to simulate the climate over North America in the CORDEX framework. Climate Dynamics, 41(5-6), 1117–1137. http://dx.doi.org/10.1007/s00382-012-1613-8.
  • Rae, J.G.L., Adalgeirsdottir, G., Edwards, T.L., Fettweis, X., Gregory, J.M., Hewitt, H.H., Lowe, J.A., Lucas-Picher, P., Mottram, R.H., Payne, A.J., Ridley, J.K., Shannon, S.R., van de Berg, W.J., van de Wal, R.S.W. et van den Broeke, M.R. (2012). Greenland ice sheet surface mass balance: evaluating simulations and making projections with regional climate models. The Cryosphere, 6, 1275–1294. http://dx.doi.org/10.5194/tc-6-1275-2012.
  • Lucas-Picher, P., Wulff-Nielsen, M., Christensen, J.H., Aðalgeirsdóttir, G., Mottram, R. et Simonsen, S.B. (2012). Very high resolution regional climate model simulations over Greenland: Identifying added value. Journal of Geophysical Research: Atmosphere, 117, article D02108. http://dx.doi.org/10.1029/2011JD016267.
  • Lucas-Picher, P., Christensen, J.H., Saeed, F., Kumar, P., Asharaf, S., Ahrens, B., Wiltshire, A., Hagemann, S. et Jacob, D. (2011). Can regional climate models represent the Indian monsoon? Journal of Hydrometeorology, 12(5), 849–868. http://dx.doi.org/10.1175/2011JHM1327.1.
  • Sørensen, L.S., Simonsen, B.S., Nielsen, K., Lucas-Picher, P., Spada, G., Adalgeirsdottir, G., Forsberg, R. et Hvidberg, C.S. (2011). Mass balance of the Greenland ice sheet (2003–2008) from ICESat data – the impact of interpolation, sampling and firn density. The Cryosphere, 5(1), 173–186. http://dx.doi.org/10.5194/tc-5-173-2011.
  • Laprise, R., de Elía, R., Caya, D., Biner, S., Lucas-Picher, P., Diaconescu, E., Leduc, M., Alexandru, A. et Separovic, L. (2008). Challenging some tenets of Regional Climate Modelling. Meteorology and Atmospheric Physics, 100(1-4), 3–22. http://dx.doi.org/10.1007/s00703-008-0292-9.
  • Lucas-Picher, P., Caya, D., de Elia, R. et Laprise, R. (2008). Investigation of regional climate models' internal variability with a ten-member ensemble of ten years over a large domain. Climate Dynamics, 31(7), 927–940. http://dx.doi.org/10.1007/s00382-008-0384-8.
  • Christensen, J.H., Boberg, F., Christensen, O.B. et Lucas-Picher, P. (2008). On the need for bias correction of regional climate change projections of temperature and precipitation. Geophysical Research Letters, 35(20), article L20709. http://dx.doi.org/10.1029/2008GL035694.
  • Lucas-Picher, P., Caya, D., Biner, S. et Laprise, R. (2008). Quantification of the Lateral Boundary Forcing of a Regional Climate Model Using an Aging Tracer. Monthly Weather Review, 136(12), 4980–4996. http://dx.doi.org/10.1175/2008MWR2448.1.
  • Lucas-Picher, P., Arora, V.K., Caya, D. et Laprise, R. (2003). Implementation of a large-scale variable velocity flow routing algorithm in the Canadian Regional Climate Model (CRCM). Atmosphère-Océan, 41(2), 139–153. http://dx.doi.org/10.3137/ao.410203.
Chapitres de livre
  • Laprise, R., Kornic, D., Rapaic, M., Separovic, L., Leduc, M., Nikiema, O., Di Luca, A., Diaconescu, E., Alexandru, A., Lucas-Picher, P., de Elía, R., Caya, D. et Biner, S. (2012). Considerations of domain size and large-scale driving for nested regional climate models: impact on internal variability and ability at developing small-scale details. Dans A. Berger, F. Mesinger et D. Sijacki (dir.). Climate Change: Inferences from Paleoclimate and Regional Aspects (p. 181–199). Springer. https://link.springer.com/content/pdf/10.1007/978-3-7091-0973-1.pdf.
Autres publications

Département des sciences de la Terre et de l’atmosphère

Le Département des sciences de la Terre et de l’atmosphère offre 12 programmes répartis entre les sciences de la Terre et les sciences de l’atmosphère. Nos formations comprennent des stages, laboratoires, simulations par ordinateurs ou sorties sur le terrain pour que les étudiants développent les compétences professionnelles qui les aideront à intégrer le marché du travail.

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Coordonnées

Université du Québec à Montréal
Département des sciences de la Terre
et de l'atmosphère
201, avenue du Président-Kennedy
Local PK-6150
Montréal, Québec, H2X 3Y7