En poursuivant votre navigation sur ce site, vous acceptez le dépôt de cookies dans votre navigateur. (En savoir plus)
Portail > Offres > Offre UMR3589-PATLEM-002 - Chercheur-se post-doc (H/F) - Prévisions saisonnières des eaux souterraines

Postdoctoral position (M/F) - Seasonal groundwater forecast

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : lundi 25 janvier 2021

Assurez-vous que votre profil candidat soit correctement renseigné avant de postuler. Les informations de votre profil complètent celles associées à chaque candidature. Afin d’augmenter votre visibilité sur notre Portail Emploi et ainsi permettre aux recruteurs de consulter votre profil candidat, vous avez la possibilité de déposer votre CV dans notre CVThèque en un clic !

Faites connaître cette offre !

General information

Reference : UMR3589-PATLEM-002
Workplace : TOULOUSE
Date of publication : Monday, January 04, 2021
Type of Contract : FTC Scientist
Contract Period : 18 months
Expected date of employment : 15 March 2021
Proportion of work : Full time
Remuneration : Gross monthly amount between 2,648 € and 3,768 € depending on the experience
Desired level of education : PhD
Experience required : Indifferent


The Aqui-FR project aims at deploying groundwater resource modelling coupled with both flow simulation and recharge estimation via the Surfex surface scheme (Masson et al. 2013). Aqui-FR is based on the integration of a set of existing hydrogeological applications and generally developed in connection with water managers. Today, Aqui-FR covers more than a third of the sedimentary aquifers in France, karstic aquifers, and some basement aquifers. (Vergnes et al. 2020). It is used for applications on past historical reconstitution, real-time monitoring of the aquifer situation, seasonal forecasts and climate projections (Habets et al. 2019; Leroux et al. n.d.; Vergnes et al. 2020). Seasonal forecasts have been evaluated over a 25-year period, and have shown a good capacity to anticipate groundwater resources and in particular drought zones 6 months in advance, mainly for forecasts covering the summer period, with particularly satisfactory results at the end of the summer (Leroux et al. n.d.). Thus, since January 2020, seasonal forecasts have been made in real time, and have notably been used to anticipate the droughts of 2020.


- A first step is to evaluate groundwater-river exchange forecasts, which could provide a useful prediction of minimum low water flows.
- A second step will be to improve this potential by refining the simulation of flows through the implementation of a homogeneous river network over the whole metropolitan territory. Initial work has been carried out with the RAPID routing model (David et al. 2011) and the RHT river network (Pella et al. 2000). The whole system must now be connected to the hydrogeological applications included in Aqui-FR.
- These improvements will be tested on the new operational forecasting system. Indeed, the seasonal forecasting system used, based on the Arpege atmospheric model (Batte and Deque 2016) evolves very regularly. The next system will integrate corrections for precipitation, which is particularly interesting for water resource forecasting.


- Thesis in geosciences, hydrology or meteorology
- Competence in environmental modelling
- Python programming skills, Linux system
- Knowledge of statistics and data processing
- Ability to work independently and in a team
- Experience in scientific writing for the valorisation of works in scientific journals

Work Context

The work will be carried out at the CNRM-UMR3589 (Météo-France/CNRS) in Toulouse, in strong collaboration with the Aqui-FR research group, in particular with the Météo-France service operating these forecasts in real time, in order to ensure that diagnostics and development can be integrated in operational terms, with the hydrogeologists modelers (BRGM, CNRS, MinesParistech) both for the model aspects and for the links with the work carried out in parallel on the feedback from the 1st year of forecasting and on the development of piezometric data assimilation, and finally, with the French Biodiversity Office, which is funding the project.

We talk about it on Twitter!