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Title

Post-Doctoral Position in Arctic Sea Ice Cover Prediction on Seasonal to Decadal Timescales

Posted
Reference   (Please mention Stopdodo/Environment Jobs in your application)
Sectors Hydrology, Hydrogeology, Water Resources
Location Spain (North) - Europe
Town/City BARCELONA, SPAIN
Type Fixed Term and Permanent Roles
Status Full Time
Level Mid Level
Company Name Catalan Institute of Climate Sciences - Institut Catala de Ciencies del Clima (IC3)
Contact Name
Website Further Details / Applications
Catalan Institute of Climate Sciences - Institut Catala de Ciencies del Clima (IC3) logo
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Description
Post-Doctoral Position in Arctic sea ice cover prediction on seasonal to decadal timescales

Environment
The Institut Català de Ciències del Clima (IC3) is a climate institution created by the Government of Catalunya and the University of Barcelona, aiming at understanding climate change and variability, the dynamics and theory underlying those changes and the impact on society. IC3 focus on the Mediterranean regions, tropical Africa, South America and Southeast Asia.
 
The Climate Forecasting Unit (CFU) undertakes research to forecast global climate variations from one month to several years into the future (also known as seasonal-to-decadal prediction). The unit members also investigate the impact of climate variability in socio-economic sectors, and the management of such risk via the development of climate services for renewable energy, insurance, etc. For details, see http://ic3cfu.wikispot.org
 
We are looking to recruit a 24 month full-time Climate Scientist to investigate the seasonal to decadal predictability of the Arctic Sea ice cover and its impact on the European Climate. The successful applicant will be heavily involved in:
The nationally funded PICA-ICE project (Previsión Interanual de la Cubierta de hielo marino del Ártico y su impacto en el Clima Europeo;http://www.ic3.cat/detail_project.php?menu=180&project=18&idioma=1).
The EU-funded SPECS Project (Seasonal-to-decadal climate Prediction for the improvement of European Climate Services, http://www.specs-fp7.eu/SPECS/Home.html).
The UK-funded APPOSITE project (Arctic Predicatability and Prediction On Seasonal to Interannual Timescales).

The successful applicant will perform statistical analyses on the most recent observational datasets and reanalyses to extract the mechanisms driving the Arctic sea ice cover variability and its relation to the European climate. The candidate will assess their predictability in a perfect model ‘approach’, which consists in assessing to which extent a model is able to reproduce its own variability. He/she will estimate the actual forecast skill in retrospective predictions. The core of the tasks will consist in the statistical analysis of the large amount of already available data. At a later stage, sensitivity experiments can be designed and run by the successful applicant depending on the initial results from statistical analyses. The simulations to be analysed have been produced with the EC-Earth climate model, which includes LIM2 sea ice model. They can also be repeated at a later stage with both LIM3 and GELATO6 sea ice model.

Requirements
-          Ph.D. in climate sciences, applied statistics or a related field. Degree in a climate-related science.
-          Previous experience in working with and analyzing climate models outputs.
-          Knowledge about the Arctic climate.
-          Statistical climate data analysis skills.
-          Advanced programming skills using R, cdo, nco, and/or phyton.
-          Good verbal and written communication skills in English.
-          Good team-working skills.

For more information please see the attaced document.
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