PhD positions in Climate Advanced Forecasting of sub-seasonal Extremes

In total 12 PhD positions are available in France, Germany, Spain, UK and Uruguay as part of the CAFE training network (Climate Advanced Forecasting of sub-seasonal Extremes), starting from September 2019.poster_CAFE

For further details contact cafeproject@crm.cat.

 

Specific details and hosts for the 12 positions are given below:

 

The 12 Phd projects’ description.————————————————————————
– ESR1: Rossby wave packets and their role in atmospheric predictability.
Objectives: To study how the spatio-temporal coherence, length and duration of
Rossby wave packets are controlled by the large-scale environment.
Also, to analyse the limit of predictability that Rossby wave packets can
provide.
Supervisors: Prof. Marcelo Barreiro (Universidad de la República) and
Prof. Cristina Masoller (Universitat Politècnica de Catalunya).
Host: Universidad de la República, Montevideo, Uruguay.
For more information please contact: barreiro@fisica.edu.uy
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– ESR2: Statistical laws for Madden-Julian events.
Objectives: To characterize the Madden-Julian Oscillation (MJO) events in terms of the
statistical properties of their lifetime, amplitude and energy. Also, to
quantify the influence of climatic factors on these statistical properties
and develop a simple model of the MJO as an activation process in order
to evaluate its predictability.
Supervisors: Dr. Álvaro Corral (Centre de Recerca Matemàtica) and
Prof. Marcelo Barreiro (Universidad de la República).
Host: Centre de Recerca Matemàtica, Barcelona, Spain.
For more information please contact: acorral@crm.cat 
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– ESR3: Coherent structures in sub-seasonal-scale circulations.

  Objectives: To develop a series of diagnosis tools able to identify and track 
                     changes in atmospheric circulation associated with particular events 
                     which are known to be relevant for predictability at sub-seasonal scales, 
                     specially moving convection structures associated to the Madden-Julian 
                     Oscillation but also blockings and waves, as well as their oceanic 
                     counterparts.
  Supervisors: Prof. Emilio Hernández-García (Instituto de Física Interdisciplinar 
                      y Sistemas Complejos – Consejo  Superior de Investigaciones Científicas) 
                     and Dr. Reik Donner (Potsdam Institut fuer Klimafolgenforschung).
  Host: Instituto de Física Interdisciplinar y Sistemas Complejos, Palma de Mallorca, Spain.
  For more information please contact: emilio@ifisc.uib-csic.es 
———————————————————————————————————————-
– ESR4: Identification of changes in large-scale weather patters (Grosswtterlagen) 
             in Europe.
  Objectives: To analyse weather patterns and their temporal succession. Also, to detect 
                     variations due to climate change and validate the hypothesis that changes 
                     in the temporal structure of patterns introduce new climatic phenomena 
                     such as April-summer and arctic-February in Germany. In addition, to 
                     quantify changes in the way how different weather patterns follow each 
                     other as well as typical lifetimes of a given pattern and typical sequences 
                     of different patterns. Relation with extreme events at sub-seasonal time 
                     scale and predictability.
  Supervisors: Prof. Jörg Matschullat (Technische Universitaet Bergakademie Freiberg) 
                      and Dr. Hervé Douville (Météo-France).
  Host: Technische Universitaet Bergakademie Freiberg, Freiberg, Germany.
  For more information please contact: matschul@tu-freiberg.de
———————————————————————————————————————-
– ESR5: Improving data-based forecasts of ENSO-related extreme weather anomalies 
             on lead times of several months.
  Objectives: To analyze regional distributions of daily meteorological variables per 
                     season in relevant regions of the globe in order to establish correlations 
                     between extreme meteorological anomalies potentially causing losses (at 
                    least, temperature and precipitation) and an adequate oceanic-index of El 
                    Niño Southern Oscillation (ENSO).
  Supervisors: Prof. Holger Kantz (Max Planck Institute for the Physics of Complex 
                       Systems) and Dr. Eberhard Faust (Munich Re).
  Host: Max Planck  Institute for the Physics of Complex Systems, Dresden, Germany.
  For more information please contact: kantz@pks.mpg.de
———————————————————————————————————————-
– ESR6: Extreme weather situations and cascade effects based on European climate 
             patterns.
  Objectives: To evaluate links between large-scale weather patterns and severe 
                     warm events over Europe on sub-seasonal time scale and, also, to 
                     measure current level of predictive skill. In addition, to validate the 
                     hypothesis that there are follow-up events (cascades, for example,  
                     heatwaves preceding droughts) and to evaluate the effects of a non-
                     stationary climate on the statistics of extreme weather.
  Supervisors: Prof. Holger Kantz (Max Planck Institute for the Physics of Complex 
                       Systems) and Dr. Laura Ferranti (European Centre for Medium-Range 
                       Weather Forecasts).
  Host: European Centre for Medium-Range Weather Forecasts, Reading, UK.
  For more information please contact: Laura.Ferranti@ecmwf.intkantz@pks.mpg.de
———————————————————————————————————————-
– ESR7: Assessment of seasonal and sub-seasonal variability of stochastic 
             properties of atmospheric extreme events.
  Objectives: To determinate the key parameters affecting the stochastic properties of 
                     severe atmospheric events (winter extratropica cyclones, hurricanes, 
                     typhoons among others) and to estimate annual exceedance probabilities 
                     for various event intensities.
  Supervisors: Prof.  Cristina Masoller (Universitat Politècnica de Catalunya) and 
                       Prof. Marcelo Barreiro (Universidad de la República).
  Host: Universitat Politècnica de Catalunya, Barcelona, Spain.
  For more information please contact: cristina.masoller@upc.edu
———————————————————————————————————————-
– ESR8: Scaling of extreme weather events with stabilized global mean temperature: 
             methodological and modeling uncertainties.
  Objectives: To assess the response of extreme weather events for different levels of 
                      stabilized global warming, its sensitivity to the experiment design and its 
                      amplitude compared to the influence of El Niño Southern Oscillation and 
                      Madden-Julian Oscillation variability.
  Supervisors: Dr. Hervé Douville (Météo-France) and 
                      Dr. Pascal Yiou (Commissariat à l’énergie atomique et aux énergies
                      alternatives).
  Host: Météo-France, Toulouse, France.
  For more information please contact: herve.douville@meteo.fr
———————————————————————————————————————-
– ESR9: Multi-layer networks for sub-seasonal prediction.
  Objectives: To combine even synchronization and multi-layer networks reconstructed 
                     from multivariate observational and model data in order to explore the 
                     predictability of climate regime changes on the sub-seasonal scale.
  Supervisors: Prof. Jürgen Kurths (Potsdam Institut fuer Klimafolgenforschung) and 
                      Dr. Florian Pappenberger (European Centre for Medium-Range 
                      Weather Forecasts).
  Host: Potsdam Institut fuer Klimafolgenforschung, Berlin, Germany.
  For more information please contact: kurths@pik-potsdam.de
———————————————————————————————————————-
– ESR10: Sub-seasonal forecasting of extreme precipitation events using sea surface 
              salinity and other sea surface variables as predictors.
  Objectives: To explore different strategies of statistical analysis, from classical methods 
                     such as empirical orthogonal functions to more advanced strategies as 
                     multi-linear regression and multi-fractal analysis, in order to derive dynamic 
                     associations among key variables of the hydrological cycle from ocean to 
                     land, especially for extreme events. 
  Supervisors: Dr. Álvaro Corral (Centre de Recerca Matemàtica) and 
                       Dr. Antonio Turiel (Institut de Ciències del Mar).
  Host: Centre de Recerca Matemàtica, Barcelona, Spain.
  For more information please contact: acorral@crm.cat
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– ESR11: Predictability of large-scale atmospheric flow patters over the Mediterranean 
              connected to extreme weather.
  Objectives: To reach a better understanding of the predictability of large-scale flows 
                     patterns over the Mediterranean in sub-seasonal (monthly) forecasts, and 
                     its connection to extreme weather. 
  Supervisors: Prof. Jörg Matschullat (Technische Universitaet Bergakademie Freiberg) 
                       and Dr. Linus Magnusson (European Centre for Medium-Range 
                      Weather Forecasts).
  Host: European Centre for Medium-Range Weather Forecasts, Reading, UK.
  For more information please contact: Linus.Magnusson@ecmwf.int
  matschul@tu-freiberg.de
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– ESR12: Ensemble weather predictability with stochastic weather generator based 
              on analogues of circulation.
  Objectives: To explore the conditions of predictability of regional surface meteorological 
                     variables (temperature, precipitation) with stochastic weather generator of 
                     analogues of atmospheric circulation. 
  Supervisors: Dr. Pascal Yiou (Commissariat à l’énergie atomique et aux énergies 
                       alternatives) and Dr. Céline Déandreis (ARIA Technologies).
  Host: Aria Technologies, Paris, France.
  For more information please contact: cdeandreis@aria.fr

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