Predicting drought and subsidence risks in France

Charpentier, Arthur; James, Molly; Ali, Hani

doi:https://doi.org/10.5194/nhess-22-2401-2022

Articles | Volume 22, issue 7

https://doi.org/10.5194/nhess-22-2401-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Drought vulnerability, risk, and impact assessments: bridging...

https://doi.org/10.5194/nhess-22-2401-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 7

Research article

|

21 Jul 2022

Research article |

| 21 Jul 2022

Predicting drought and subsidence risks in France

Arthur Charpentier, Molly James, and Hani Ali

Data sets

freakonometrics/subsidence: subsidence (v1.0.1) Arthur Charpentier https://doi.org/10.5281/zenodo.6863730

Model code and software

Code to "Predicting drought and subsidence risks in France" Arthur Charpentier https://github.com/freakonometrics/subsidence/

Short summary

Predicting consequences of drought episodes is complex, all the more when focusing on subsidence. We use 20 years of insurer data to derive a model to predict both the intensity and the severity of such events, using geophysical and climatic information located in space and time.