dove studiare
PhD position – University of Vienna: ensemble data assimilation and mountain meteorology

The Theoretical Meteorology group of the Department of Meteorology and Geophysics (IMGW) at the University of Vienna is looking to fill a doctoral position in the field of numerical weather prediction.

The PhD student will join a dynamic group led by Prof. Martin Weissmann. The position is sponsored by the Austrian Science Fund (FWF) through project P 37259-N, “DEPENDABLE: Demonstrating parameter estimation with ensemble-based data assimilation”, led by Dr. Stefano Serafin.

The project focuses on a specific component of numerical weather prediction models, namely the parameterization of atmospheric turbulence. The main objective is to test a novel method for reducing
the forecast error related to turbulence parameterizations, which is particularly pronounced over mountainous areas. In particular, the PhD candidate will estimate the uncertain empirical parameters of turbulence parameterizations with an ensemble data assimilation methodology. The research work consists of:

  • running large-eddy simulations of the mountain boundary layer with grid spacing of 100 m or less;
  • using large-eddy simulation output to generate synthetic atmospheric observations (surface and profile measurements);
  • assimilating the synthetic observations in an ensemble analysis that resolves the convective scale at a grid spacing of 1 km;
  • upgrading the assimilation algorithm to permit parameter estimation;
  • analysing parameter estimation results.

The main working tools are the weather prediction model WRF and the data assimilation code DART. The expected outcome is a demonstrated improvement in the accuracy of meteorological analyses and forecasts over mountains.

The position is initially awarded for one year and will be extended to a maximum duration of 3 years after positive evaluation. The starting date is not earlier than 1 March 2024. Remuneration is determined by the Austrian collective agreement for university employees. Indicative figures are provided on the funding agency website.

Essential qualifications: Master (or equivalent) degree in meteorology, physics or a related subject; demonstrated proficiency in Python and Fortran programming; familiarity with Linux/UNIX environments; strong motivation; positive attitude toward teamwork; excellent verbal and written communication skills including fluency in English.

Assets: Basic experience with numerical weather prediction codes; knowledge of data assimilation methods; familiarity with high-performance computing. Knowledge of the German language is beneficial but not required.

Applications received before Sunday, 25 February 2024, will be given full consideration. Applications should be submitted via e-mail to Dr. Stefano Serafin, stefano.serafin-at-univie.ac.at, and should include the following information in a single pdf file:

  • A formal letter of motivation, explaining in no more than 300 words the reasons why you are interested in the position and why you believe you are an excellent candidate for it;
  • A curriculum vitae;
  • Contact information for referees (at least one, no more than three);
  • Degree transcripts and master thesis abstract;
  • Publications, if any.

The University of Vienna aims at increasing the proportion of women at all employment levels, and therefore encourages applications by qualified women. Candidates wishing to receive further details about the position are welcome to contact Dr. Serafin via e-mail.

Workshop e Congressi
ISDA: 2023 International Symposium on Data Assimilation

ISDA: 2023 International Symposium on Data Assimilation

AISAM é lieta di annunciare la call for abstract per il convegno ISDA (International Symposium on Data Assimilation) che si terrà a Bologna il prossimo ottobre 2023 (16-20 Ottobre 2023). Di seguito maggiori dettagli.

The 2023 International Symposium on Data Assimilation – Bologna (Italy) 16-20 October 2023.

We welcome abstracts on all aspects of research and operational implementation of data assimilation.
These include, but are not limited, mathematical development of data assimilation, its application to complex high-dimensional nonlinear scenarios, such as convective resolving models of the atmosphere or
coupled climate systems, as well as its combination with modern artificial intelligence procedures.

Full information about the event at https://eventi.unibo.it/isda2023.

Deadline for submission 19 May 2023.
To submit your abstract visit https://eventi.unibo.it/isda2023/call-for-abstract_registration
Contributions will be reviewed and the decision on acceptance and/or on the type of communication (oral or poster) will be communicated to authors by June 21.

Registration
From June 21 onward we will open the registration link in the ISDA website.
Stay tuned!

Travel support
ISDA is happy to offer travel support to PhD students from low to moderate income countries.
Visit https://eventi.unibo.it/isda2023/travel-support

On behalf of the scientific and organising committee I wish to welcome you all in Bologna and hope you will further circulate the announcement within your network.

Scientific and Organising Committee:
– Alberto Carrassi (Un of Bologna, Italy)
– Pier Paolo Alberoni (Emilia-Romagna Regional Met Office, ARPAE,
Italy)
– Massimo Bonavita (ECMWF)
– Carlo Cacciamani (Italian Met Office, Italia Meteo)
– Carla Cardinali (CMCC, Italy)
– Geir Evensen (NORCE, Norway)
– Chris Jones (Un of North Carolina in Chapel Hill, USA)
– Chiara Marsigli (Emilia-Romagna Regional Met Office, ARPAE, Italy)
– Takemasa Miyoshi (RIKEN, Japan)
– Tijana Janjic (KU Eichstätt-Ingolstadt, Germany)

-Roland Potthast (German Weather Service, DWD, Germany)
– Peter Jan Van Leeuwen (Un of Colorado, USA)
– Martin Weissmann (Un of Vienna, Austria)

opportunità di lavoro
Due posizioni aperte a MeteoSvizzera/ETH Zurigo

Il Center for Climate Systems Modeling (C2SM) dell’ ETH di Zurigo e l’Ufficio Federale di Meteorologia e Climatologia MeteoSvizzera cercano due modellisti numerici da assumere con contratto triennale per collaborare al miglioramento del modello ICON operativo (risoluzione 1000 metri) e sperimentale (risoluzione 500 metri), e del suo sistema di ensamble data assimilation (KENDA).

Tra i compiti dei ricercatori assunti quello di sviluppare la configurazione del modello ICON alla risoluzione di 500 metri pensata per fornire supporto previsionale alla campagna osservativa del progetto TEAMx, e per il progetto GLORI-A (Alpine digital twin).

Maggiori informazioni sulle attività previste e sui requisiti necessari si trovano ai link seguenti:

Le posizioni resteranno aperte fino a che non verranno trovati i candidati adatti.

opportunità di lavoro
Post-doc all’ISMAR-CNR

All’Istituto di Scienze Marine del CNR è aperto un bando per un assegno di ricerca post dottorato in oceanografia con tema “Development and implementation of numerical models with data assimilation techniques for the reanalysis and forecast of hydrodynamic circulation in coastal seas“, nell’ambito dei progetti Interreg Italia-Croazia STREAM (Strategic development of flood management) e AdriaClim (Climate change information, monitoring and management tools for adaptation strategies in Adriatic coastal areas).

La deadline per la domanda è il 30 di agosto e il colloquio si terrà il 13 settembre. Tutti i dettagli sulla posizione a bando e sulle modalità di presentazione delle domande si trovano a questo link.

Per ulteriori informazioni si può contattare il Dr. Christian Ferrarin all’indirizzo e-mail c.ferrarin at cnr.it.