Postdoctoral position (12-month) in satellite data assimilation into large scale river routing model (M/F) via EURAXESS

Centre national de la recherche scientifique (CNRS)

Toulouse, France 🇫🇷

Job Information

Organisation/Company: CNRS

Department: Centre national de recherches météorologiques

Research Field: Environmental science, Biological sciences, Geosciences

Researcher Profile: First Stage Researcher (R1)

Country: France

Application Deadline: 02/03/2023 – 00:59 (UTC)

Type of Contract: Temporary

Job Status: Full-time

Hours Per Week: 35

Offer Starting Date: 1/6/2023

Is the job funded through the EU Research Framework Programme?: Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?: No

Offer Description

The successful candidate will be in charge of the development of the CTRIP assimilation system over the basins selected in the CCI-Discharge project. The main tasks are:
• set up a simulation experiment for the river routing model in the selected basins, assess its quality compared to available observations;
• implementation of the existing data assimilation framework within the model and tuning of the assimilation parameters (such as model state uncertainties, localization length, temporal smoother depth);
• evaluation of the analysed discharge and of the assimilation efficiency, characterization of the limits of the approach;
• depending on time, comparison of CTRIP and MGB assimilated discharge products on common basins and from a climate perspective (time series, statistics and trends).

The position is funded through the CCI+ Precursor Project for the River Discharge ECV (ESA). The main objective of the CCI-Discharge project is to derive long term river discharge time series for selected locations using remote sensing observations and ancillary data, as a proof-of-concept of the feasibility of a river discharge Essential Climate Variable (ECV) product. Two kinds of satellite products will be used (altimetry and multispectral imagery) to derive river discharge at different locations and time sampling and with different error budgets. The algorithms will be tested and validated over a selection of 15 basins around the world, within various climatic conditions and hydrological behaviours.

The work proposed for this position is related to the second use case of the project. This use case will study the potential improvement that could be provided by the assimilation of the river discharge product into large scale hydrological models. The objective of this use case is to assimilate satellite products (either water surface elevation or estimated discharge) and their respective uncertainties into large scale river routing models, that can be deployed over some selected river basins. Two different models will be used to produce discharge products: the CTRIP global river routing model and the MGB regional hydrological and hydrodynamic model. This approach could help to study how different modelling approaches compare over long time series. Indeed, global models can be deployed everywhere but are generally simpler and conceptually generic, while regional models can represent finer processes specifically adapted to the simulated area but are not meant to be applied globally and need to be calibrated. It is therefore interesting to compare those two approaches.

The work proposed here focuses on the CTRIP model. The CTRIP model is developed at CNRM and is, in particular, integrated into the CNRM-CM Climate Model (that participates to the CMIP projects) to simulate the propagation of water within the river network at the global scale. During the last decade, a data assimilation framework has been developed within the CTRIP model, based on the Ensemble Kalman Filter. It has been applied successfully over a few basins for the assimilation of various observations. It also includes recent developments (localization, smoother…) that need to be better qualified.

The successful candidate will be based at the Toulouse Meteopole (France) and will be hosted in the CNRM Mesoscale Meteorology Group. More precisely, in the SURFACE team in charge of surface modeling for numerical weather prediction and climate models of Météo-France, and whose activity also includes regional reanalysis and hydrology of large basins.

Requirements

Research Field: Environmental science

Education Level: PhD or equivalent

Research Field: Biological sciences

Education Level: PhD or equivalent

Research Field: Geosciences

Education Level: PhD or equivalent

Languages: FRENCH

Level: Basic

Research Field: Environmental science

Years of Research Experience: None

Research Field: Biological sciences

Years of Research Experience: None

Research Field: Geosciences

Years of Research Experience: None

Additional Information

Eligibility criteria

• A PhD degree in environmental science, hydrology, physics or related fields.
• Very good knowledge in hydrology/hydraulic models and data assimilation.
• Experience in processing and analysing large volume of data.
• Very good programming skills in high-level programming language (Python, Fortran) and good Linux skills (including shell scripting).
• Some experience in high performance computers (HPC) is recommanded.
• Good communication skills and aptitude for written and oral communication in English.Website for additional job details

https://emploi.cnrs.fr/Offres/CDD/UMR3589-SIMMUN-004/Default.aspx

Work Location(s)

Number of offers available: 1

Company/Institute: Centre national de recherches météorologiques

Country: France

City: TOULOUSE

Where to apply

Website: https://emploi.cnrs.fr/Candidat/Offre/UMR3589-SIMMUN-004/Candidater.aspx

Contact

City: TOULOUSE


POSITION TYPE

ORGANIZATION TYPE

EXPERIENCE-LEVEL

DEGREE REQUIRED

LANGUAGE REQUIRED

IHE Delft MSc in Water and Sustainable Development