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Portail > Offres > Offre UMR8518-PHIDUB0-003 - Chercheur post-doctoral en interactions aérosols - nuages et télédétection satellitaire (H/F)

Post-doctoral position in aerosol-cloud interactions and satellite remote-sensing (H/F)

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

Date Limite Candidature : lundi 1 février 2021

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General information

Reference : UMR8518-PHIDUB0-003
Workplace : VILLENEUVE D ASCQ
Date of publication : Monday, January 11, 2021
Type of Contract : FTC Scientist
Contract Period : 36 months
Expected date of employment : 1 March 2021
Proportion of work : Full time
Remuneration : between 2675,28 €and 3084,60 € euros gross monthly
Desired level of education : PhD
Experience required : 1 to 4 years

Missions

The LOA seeks to fill a 36-month position of post-doctoral scientist in the context of the bilateral ANR- and DFG-funded project CDNC4aci (Cloud Droplet Number Concentration reliAble retrievAls for Assessing Aerosol-Cloud Interactions). This project aims to improve current quantifications of the effective radiative forcing by aerosol-cloud interactions (ERFaci), using a joint observation and modelling approach to reach reliable global estimates of the coud droplet number concentration (CDNC).

Activities

The selected candidate will develop and evaluate a new dedicated scheme (algorithm) for CDNC retrievals using measurements from multiple passive satellite sensors. A precise quantification of pixel-based uncertainties is also expected. This work will be done in close collaboration with modelling activities performed by a German partner. Notably, cloud-resolving simulations will be provided to adjust and test the newly developed retrieval scheme. Ultimately, the selected candidate will create a long-term global CDNC dataset and exploit it to provide a constrained data-tied estimate of the ERFaci. Further joint assessment work with project partners will aim to reach closure between observation and model-based ERF quantifications.

Skills

- A PhD in Atmospheric Sciences or related, obtained within the past 2 years
- Experience in retrieval algorithm development and analysis of satellite observations
- Good knowledge in cloud physics
- Excellent written and spoken English
- Good communication and collaboration skills
- Ability to work independently and as part of a team
- Expertise in a programming language (such as Fortran, Python, R)

Work Context

The selected candidate will join an exciting team composed of two project partners: the Laboratoire d'Optique Atmosphérique (LOA) at University of Lille, France, and the Leipzig Institute for Meteorology (LIM) at University of Leipzig, Germany. The LOA is widely recognised for its expertise in remote sensing of clouds and aerosols. The research team at LOA is lead by Dr. Odran Sourdeval, whose current research focuses on the development and exploitation of novel satellite products for ACI studies. The “Cloud and Global Climate” group at LIM, lead by Prof. Johannes Quaas, also is widely recognised for its innovative work on ACI studies using modelling and observations.

Aerosol-cloud interactions imply an ERF that is a key uncertainty when understanding and interpreting observed climate change. Global data are needed to better quantify the relevant processes, but a key quantity - the CDNC - is not available from operational products. Building on preliminary work, CDNC4aci will work towards reliable retrievals of CDNC from satellites in close observations - model interaction: newly-available cloud-resolving simulations will inform the retrieval development and refinement, and the data, in turn, will be used to improve understanding and quantification of ACI in the model and from statistical analysis. The research team at LOA will lead the satellite data aspects whereas the team at LIM will lead the modelling activities. Very close collaborations are intended between these two teams.
Short-term travels between France and Germany, and possibly short stays, will take place in the context of biannual meetings between the project partners.

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