|From||chiriaco marjolaine <email@example.com>|
|Tofirstname.lastname@example.org, email@example.com, firstname.lastname@example.org|
|Date||Thu, 15 Dec 2016 13:45:38 +0100|
[apologies for cross-postings]
A 24-month post-doctoral position is open at LATMOS (Guyancourt, France) to work on the climate variability at local scale using observations and simulations. More details below.
This research is funded by the Labex L-IPSL project.
Feel free to circulate this offer.
Thanks a lot, and best regards
L-IPSL post-doctoral fellow offer in local climate variability
Title: Climate variability at local scale
The excellence laboratory L-IPSL of the Institut Pierre-Simon Laplace offers a post-doctoral position of 2 years to understand climate variability at local scale.
The current offer is part of a L-IPSL project, which address the questions of understanding and attributing climate variability since the early 20th century. Here, we propose to focus on the local climate changes in France (Paris Area) in order to address the following questions: (i) what are the respective contributions of the large scale dynamics versus local feedbacks/processes to the local climate variability?, (ii) what are the cause of the variability and the possible trends?, (iii) what are the particular links between local climate variability and hydrology evolution?
To address these questions, the strategy is to use multi-parameters observations together with simulations, datasets that already exist at IPSL. Actually, new homogenized observations datasets (SIRTA-reOBS [Chiriaco et al. 2014, Cheruy et al. 2012] and analysis of the hydrology provided by METIS in cooperation with CERFACS [Boé et al. submitted]) allow a comprehensive analysis of the climate variability. In combination with models (LMDZ nudged simulation, WRF-MED/CORDEX regional simulation) and with longer complementary observations of surrounding meteorology (long-term Meteo-France stations), these data sets will help to better assess the contributions of local vs large-scale processes on the variability. Also, as the noise in the signal becomes stronger when the spatial scale decreases, it is necessary to use methods that separate the different sources of variability (seasons, weather regimes, other clustering method to be explored…).
Description of work
The scientist will follow these different steps:
1) The first step is to characterize meteorology at local scale, using temperature and precipitation distributions for a given large-scale circulation, and studying the relation between these two parameters at different scales, and their evolution. Then, it will be possible to characterize the evolution of these distributions: (i) for a given weather regime, so independently of large-scale circulation evolution: changing of the distribution parameters (mean, standard deviation, extremes); (ii) by clustering this meteorology in different classes: changing of the frequency of these classes. Other methods than weather regime classification could be explored, such as circulation analogues for instance.
2) The goal of the second step is to understand the new distributions. It is possible by analysing the changing in local feedbacks, using all the involved variables from observations and simulation (radiations, clouds, boundary layer, surface hydrology…). The goal is to attribute the cause of the variability and the possible trends: global warming, urbanisation, natural variability, other external forcing…
3) In particular, we will focus on links between the atmosphere evolution and hydrology evolution: (i) the atmospheric reconstruction should be downscaled to correct bias on precipitation to be used to simulate the hydrology of the Seine basin. We will first use already available downscaled atmospheric reconstructions performed by CERFACS. As the downscaling method depends on a selection of large scale predictors, a selection of the best method will be based on comparison with in-situ data, taking a large benefice of the various measurements provided by the SIRTA ReObs. (ii) Sensitivity tests will be performed by including anthropogenic changes such as the evolution of pumping, of land use and/or construction of dam, and the assessment of the tests will be made by comparison with the long-term riverflows or river heights, information on groundwater level, either as piezometric maps or piezometric data. Analysis will also include the evolution of reconstructed evapotranspiration that could be compared to observed proxy, and we will try to find if there any blocking factors for models to reproduce this evolution.
The scientist should be a physicist, holding a PhD in climate science. A good knowledge of the analysis of observations is required, as well as skill in hydrological modelling. Knowledge of the climate simulation tools (RCM and/or GCM), and of statistical tools for the data analysis would be useful. A good teamwork capacity is important.
The work will be conducted under the main supervision of M. Chiriaco (LATMOS), together with F. Habets (METIS) and F. Cheruy (LMD), and in close connection with other researchers: L. Lestel (METIS), S. Bastin (LATMOS), M. Haeffelin, J.-C. Dupont, S. Cloché (IPSL), H. Chepfer and J. Badosa (LMD). The work will be mainly conducted at LATMOS, but in other IPSL sites also.
Duration and salary
The post-doctorate will be recruited for 24 months with a net monthly salary around 2000 euros, commensurate with experience. This includes social services and health insurance.
Contact for applications
Applications should include a vita, a statement of research interests and the names of at least two references including e-mail addresses and telephone numbers. Applications should be submitted by e-mail to Marjolaine Chiriaco (email@example.com).
-- Marjolaine Chiriaco Maître de Conférences/Associate Professor http://chiriaco.page.latmos.ipsl.fr/ firstname.lastname@example.org LATMOS Bureau 1141 11 bd d'Alembert 78280 Guyancourt tel : 33.(0)18.104.22.168.49 --
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