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.
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 ——————————
– 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
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– 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.int; kantz@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
——————————
– 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
——————————
– 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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