Research scientist position for a statistician in climate science (R2/R3)

Employer
Barcelona Supercomputing Center
Location
Spain
Posted
October 11 2017
Position Type
Full Time
Organization Type
Academia

About BSC


The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, and is a hosting member of the PRACE European distributed supercomputing infrastructure.


 Context and Mission


Within the Earth Sciences Department of Barcelona Supercomputing Center (BSC-ES), led by Prof Francisco Doblas-Reyes, the climate prediction group, led Dr. Pablo Ortega and Dr. Louis-Philippe Caron, aims at developing climate prediction capability for time scales ranging from a few weeks to a few decades (sub-seasonal to decadal climate prediction) and from regional to global scales. H2020 Program


Key Duties


Tasks:


    Implement and develop bias correction and forecast calibration methods for seasonal and decadal forecasts


    Develop both deterministic and probabilistic multivariable user-driven forecast scores


    Estimate the added value of combining climate predictions compared to non-initialized forced-only simulations


    Combine multiple forecast systems using methodologies based on past performance


    Explore the relative merits of different calibration approaches and evaluate the advantages of single-model calibration versus the multi-model in terms of forecast quality


    Improve the decadal climate predictions over land areas


    Test methods traditionally used in climate projections to i) quantify uncertainty and to ii) combine different members to assess and improve the forecast quality of climate predictions


    Develop procedures for observational uncertainty propagation in model assessment at different time and spatial scale and evaluate


    Develop methodologies to combine ensemble climate predictions with climate projections


    Assess the observational error correlation scale for different climate variables


    Improve the representation of observational uncertainty in the computation of verification metrics



This job comes from a partnership with Science Magazine and Euraxess