Missions

As part of the ANR PaleoTempesto project aimed at understanding atmospheric isotopic fractionation processes in tropical precipitation, it is necessary to evaluate the contribution of paleoclimate records based on isotopes.

The objective of this position is to construct and analyze paleoclimate databases tracing temporal changes in the water cycle in tropical regions.

Activités

Main activities:
- Identify, compile, and evaluate records of the tropical hydrological cycle in order to build paleoclimate databases specific to the project
- Analyze these databases, in particular by comparing trends obtained through isotopic and non-isotopic tracers in order to inform atmospheric isotopic fractionation processes in tropical precipitation
- Compare these results with climate model outputs from other ANR WPs (WP1, “What mechanisms deplete the rain in organized storms?”, and WP2, “Representing the isotopic depletion associated with organized convective systems in a GCM”) and evaluate the model outputs for the mid-Holocene and LGM from the WP and compare them with those already obtained in the literature

Secondary activities:
-Participate in the dissemination and promotion of results in the form of oral presentations and publications
-Collaborate closely with other members of the ANR PaleTempesto project

Compétences

Extensive experience with data from tropical climate archives and with the construction and analysis of paleoclimate databases is essential for the successful completion of this project. The candidate will have in-depth knowledge of tropical water cycle reconstructions using isotopic tools (e.g., continental and marine d18O and dD) and non-isotopic proxies (e.g., XRF, pollen, etc.) in diverse and varied continental (lake sediments, glaciers, speleothems) and oceanic (sedimentary, coral) archives. Finally, a good knowledge of paleoclimate modeling exercises and model/data comparisons is important.

Contexte de travail

The researcher will be based at CEREGE in Aix-en-Provence. The researcher will work with multidisciplinary data (sedimentology, geochemical biomarkers and bioindicators, ecology, model outputs). The researcher will work with software and in an office environment