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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Carreau, J., Ben Mhenni, N., Huard, F., & Neppel, L. (2019). Exploiting the spatial pattern of daily precipitation in the analog method for regional temporal disaggregation. Journal of Hydrology, 568, 780-791. External link
Carreau, J., Naveau, P., & Neppel, L. (2017). Partitioning into hazard subregions for regional peaks-over-threshold modeling of heavy precipitation. Water Resources Research, 53(5), 4407-4426. External link
Carreau, J., Neppel, L., Ben Mhenni, L., & Huard, N. (2017, July). Spatial daily rainfall descriptors to reproduce sub-daily dynamics in the analog method for temporal desaggregation [Paper]. 10th HyMeX Workshop, Barcelona, Spain. External link
Carreau, J., Toulemonde, G., Bacro, J. N., Bouvier, C., & Neppel, L. (2014, January). Assessing the impacts of the choice of spatial dependence structure for flood-risk rainfall [Poster]. Workshop on Stochastic Weather Generators, Avignon, France. External link
Carreau, J., Neppel, L., Arnaud, P., & Cantet, P. (2013). Extreme rainfall analysis at ungauged sites in the South of France : comparison of three approaches. [Analyse des pluies extrêmes en des sites non-jaugés dans le sud de la France : comparaison de trois approches]. Journal de la Société française de statistique, 154(2), 119-138. External link
Hammami, H., Carreau, J., Neppel, L., Elasmi, S., & Feki, H. (2022). Smooth Spatial Modeling of Extreme Mediterranean Precipitation. Water, 14(22), 3782 (18 pages). External link
Neppel, L., Arnaud, P., Borchi, F., Carreau, J., Garavaglia, F., Lang, M., Paquet, E., Renard, B., Soubeyroux, J.-M., & Veysseire, J.-M. (2014). Résultats du projet Extraflo sur la comparaison des méthodes d'estimation des pluies extrêmes en France. La Houille Blanche, 2014(2), 14-19. External link
Soubeyroux, J.-M., Neppel, L., Veysseire, J.-M., Tramblay, Y., Carreau, J., & Gouget, V. (2015). Evolution of extreme rainfall in France with a changing climate. [Evolution des précipitations extrêmes en France en contexte de changement climatique]. La Houille Blanche, 101(1), 27-33. External link
Tramblay, Y., Neppel, L., Carreau, J., & Najib, K. (2013). Non-stationary frequency analysis of heavy rainfall events in southern France. Hydrological Sciences Journal, 58(2), 280-294. External link
Tramblay, Y., Neppel, L., Carreau, J., & Sanchez-Gomez, E. (2012). Extreme value modelling of daily areal rainfall over Mediterranean catchments in a changing climate. Hydrological Processes, 26(25), 3934-3944. External link
Tramblay, Y., Neppel, L., & Carreau, J. (2011). Brief communication "Climatic covariates for the frequency analysis of heavy rainfall in the Mediterranean region". Natural Hazards and Earth System Sciences, 11(9), 2463-2468. External link
