Publications

A Bayesian-inferred physical module to estimate robust mitigation pathways with cost-benefit IAMs

Published in EGU General Assembly 2021, 2021

The purpose of this abstract and presentation is to present a compact climate module that can be used to make certain IAMs more accurate and relevant. This climate module is calibrated in a Bayesian manner and thus makes it possible to highlight the impact of uncertainty for robust decision making.

Recommended citation: Gasser, T., Baklanov, A., Rezai, A., Cheritel, C., and Obersteiner, M.: A Bayesian-inferred physical module to estimate robust mitigation pathways with cost-benefit IAMs, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-15363, https://doi.org/10.5194/egusphere-egu21-15363, 2021. https://doi.org/10.5194/egusphere-egu21-15363

Early indicators of intensive care unit bed requirement during the COVID-19 epidemic: A retrospective study in Ile-de-France region, France

Published in PloS One, 2020

During my time as a volunteer in the crisis unit of the Paris hospitals during the first wave of the crisis, I had the opportunity to participate in the creation of leading indicators for monitoring the epidemic and for better informed decision making. The description of these leading indicators was then described in a publication of the COVID-19 APHP-UNIVERSITIES-INRIA-INSERM GROUP in the journal PloS One.

Recommended citation: COVID-19 APHP-UNIVERSITIES-INRIA-INSERM GROUP. Early indicators of intensive care unit bed requirement during the COVID-19 epidemic: A retrospective study in Ile-de-France region, France. PloS one, 2020, vol. 15, no 11, p. e0241406. https://doi.org/10.1371/journal.pone.0241406

A stylized model for energy, population, the economy, and the environment

Published in Paris School of Economics Master Thesis, 2020

You can find here the work I produced for my master thesis. I present here an attempt at a model linking energy consumption, population dynamics, economic dynamics and the impacts of global warming. It should be noted that this is incomplete and unfinished work which I intend to return to in the context of my Ph.D thesis.

Recommended citation: Cheritel, C.: A stylized model for energy, population, the economy, and the environment, Paris School of Economics Master Thesis, 2020.

Assessing the climate uncertainty over the Social Cost of Carbon

Published in Ecole polytechnique third year research internship report, 2019

You can find here the report produced following my research internship at the end of my 3rd year at the Ecole Polytechnique. I did this internship at IIASA under the supervision of Thomas Gasser and worked on the links between climate uncertainty and the social cost of carbon.

Recommended citation: Cheritel, C.: Assessing the climate uncertainty over the Social Cost of Carbon, Ecole polytechnique third year research internship report, 2019.

Modeling crops returns to secure the food supply chain

Published in Ecole polytechnique third year research project report, 2019

You can find here the report produced following my research project done during my 3rd year at the Ecole Polytechnique with Théo Guichaoua, Raphaël Lafrogne-Joussier and Vincent Rollet under the supervision of Pierre Picard and Alexis Louaas

Recommended citation: Cheritel, C., Guichaoua, T., Lafrogne-Joussier, R., and Rollet, V.: Modeling crops returns to secure the food supply chain, Ecole polytechnique third year research project report, 2019.