CCR PUBLICATIONS
Mayor, B.; Zorrilla-Miras, P.; Coent, P.L.; Biffin, T.; Dartée, K.; Peña, K.; Graveline, N.; Marchal, R.; Nanu, F.; Scrieciu, A.; Calatrava, J.; Manzano, M.; López Gunn, E. Natural Assurance Schemes Canvas: A Framework to Develop Business Models for Nature- Based Solutions Aimed at Disaster Risk Reduction. Sustainability 2021, 13, 1291. https://doi. org/10.3390/ su13031291
Moncoulon, D.; Marchal, R.; Onfroy, T.; Les risques liés au ruissellement, l’apport des données de sinistralité, LHB, 6 (2020) 56-65, DOI: https://doi. org/10.1051/lhb/2020058
Perrin, T.V.E.; Roustant, O.; Rohmer, J.; Alata, O.; Naulin, J.P.; Idier, D.; Pedreros, R.; Moncoulon, D.; Tinard, P. Functional principal component analysis for global sensitivity analysis of model with spatial output, Reliability Engineering & System Safety, Volume 211, 2021, 107522, ISSN 0951-8320, https://doi.org/10.1016/j. ress.2021.107522.
Gouache, C.; Bonneau, F.; Tinard, P. et al. Estimation of main shock frequency–magnitude distributions by adapting the inter-event time method for lowto-moderate seismicity areas: application to French mainland. J Seismol 25, 771–782 (2021). https://doi.org/10.1007/s10950- 021-10001-8
Kapsambelis, D.; Moncoulon, D. Gestion des risques en agriculture : répondre au défi du changement climatique. Revue Risques (2021) Risques N° 126 - Revue Risques (revue-risques.fr)
K.E. Duvat, V.; Volto, N.; Stahl, L; Moatty, A.; Defossez, S.; Desarthe, J.; Grancher, D.; Pillet, V.; Understanding interlinkages between long-term trajectory of exposure and vulnerability, path dependency and cascading impacts of disasters in SaintMartin (Caribbean), Global Environmental Change, Volume 67, 2021, 102236, ISSN 0959- 3780, https://doi.org/10.1016/j. gloenvcha.2021.102236.
Desarthe, J.; L’histoire des ouragans dans les Antilles Françaises in Leone, F.; Moatty, A.; Les connaissances et apprentissages de territoires cyclonés (Petites Antilles, saison cyclonique 2017) : fiches de synthèse des principaux résultats du projet ANR TIREX à l’attention des décideurs. [Research report] Université Paul Valéry Montpellier 3 / LAGAM. 2021.
Lopez-Gunn, E., Altamirano, M.A.; Ebeltoft, M.; Graveline, N.; Marchal, R.; Moncoulon, D.; et al, Mainstreaming nature-based solutions through insurance; the five “hats” of the insurance sector in Nature-Based Solutions and Water Security, An Action Agenda for the 21st Century. 2021. Nature-Based Solutions and Water Security - 1st Edition (elsevier.com)
Le Coent, P.; Graveline, N.; Altamirano, M.A.; Arfaoui, N.; Benitez-Avila, C.; Biffin, T.; Calatrava, J.; Dartee, K.; Douai, A.; Gnonlonfin, A.; Hérivaux, C.; Marchal, R.; Moncoulon, D.; Piton, G. Is-it worth investing in NBS aiming at reducing water risks? Insights from the economic assessment of three European case studies, NatureBased Solutions, Volume 1, 2021, 100002, ISSN 2772-4115, https://doi.org/10.1016/j. nbsj.2021.100002.
Desarthe, J.; Gonnetan, L.; Bauduceau, N. La politique de prévention à travers la mobilisation du fonds Barnier (1995-2019), Risques Infos no. 42, 2021, http:// www.irmagrenoble.com /06publications/01publications_ risquesinfos_sommaire.php?id_ risquesinfos=42
Ecoto, G.; Bidaut, A.; Chambaz, A. One-step ahead sequential Super Learning from short times series of many slightly dependent data, and anticipating the cost of natural disasters, Cornell University, 2021, https:// arxiv.org/abs/2107.13291#
CITATIONS
Onfroy et al, Improvement of the probabilistic overflow hazard modelling chain in Metropolitan France. In CCR 2022 Scientific Report; CCR, Paris, France, 2022, pp. 06-09
Gouache et al, First probabilistic model of earthquake exposure in Metropolitan France. In CCR 2022 Scientific Report; CCR, Paris, France, 2022, pp. 10-13
Boittin et al, Development of a multiperil damage platform. In CCR 2022 Scientific Report; CCR, Paris, France, 2022, pp. 14-17
Barthelemy et al, Understanding the phenomenon of clay shrinking and swelling through an indicator aggregated to the commune: the magnitude of droughts. In CCR 2022 Scientific Report; CCR, Paris, France, 2022, pp. 20-22
Onfroy et al, Tree detection from Very High Resolution imagery data in areas at risk of clay shrinking and swelling In CCR 2022 Scientific Report; CCR, Paris, France, 2022, pp. 23-27
Kapsambelis, D., et al, Damage estimates on crop losses of French farms in the context of climate change. In CCR 2022 Scientific Report; CCR, Paris, France, 2022, pp. 30-33
Kapsambelis D. et al, Comparison of constant climate simulations and continuous simulations to model extreme drought events. In CCR 2022 Scientific Report; CCR, Paris, France, 2022, pp. 34-37
Naulin et al, Anticipatory modelling of insurance losses, an application of the PICS project. In CCR 2022 Scientific Report; CCR, Paris, France, 2022, pp. 40-43
Desarthe et al, Implementation of CCR models to measure the efficiency of prevention measures on insured losses. In CCR 2022 Scientific Report; CCR, Paris, France, 2022, pp. 44-47
Jolivet et al, Modelling forest fires. In CCR 2022 Scientific Report; CCR, Paris, France, 2022, pp. 50-53
L’Hévéder, B., et al, Cyclone warnings and forecasting insured damage. In CCR 2022 Scientific Report; CCR, Paris, France, 2022, pp. 54-57
Tilloy et al, Multi-hazard event typology for Western Europe. In CCR 2022 Scientific Report; CCR, Paris, France, 2022, pp. 60-63
Esch et al, Improving knowledge of the exposure and vulnerability to flooding of buildings in Morocco. In CCR 2022 Scientific Report; CCR, Paris, France, 2022, pp. 64-67