Llorenç Lledó

Scientist (Evaluation and Uncertainty Quantification)
Forecast Department, Evaluation Section, Verification and Observation Monitoring

Summary:

Llorenç is currently working in the DestinE program, in particular developing and applying verification techniques suitable for km-scale global forecasts.

He has broad experience in the development of weather and climate services for the energy sector, both in the private sector and in academia.

 

Professional interests:
  • Numerical weather prediction
  • Climate prediction
  • Forecast verification
  • Statistical post-processing and machine learning
  • Climate services
  • Teleconnections
  • Renewable energy
  • Wind
Career background:

Education

  • PhD in Physics (2020), Universitat de Barcelona & Barcelona Supercomputing Center: "Climate variability predictions for the wind energy industry: a climate services perspective", advisors: Francisco Doblas-Reyes and Albert Soret.
  • MSc in Meteorology (2007), Universitat de Barcelona.
  • BSc in Mathematics (2005), Universitat de Barcelona, Excellence programme.

Professional experience

  • From 2022 - Scientist, Evaluation and uncertainty quantification.
  • 2022 Adjunct lecturer in Statistics, Universitat de Girona.
  • 2020–2022 Postdoc researcher, Barcelona Supercomputing Center, Earth Sciences department.
  • 2016–2020 - Researcher, Barcelona Supercomputing Center, Earth Sciences department.
  • 2012–2016 - Team lead forecasting operations and research, AWS Truepower SLU.
  • 2008–2012 - Wind resource assessment technician, Meteosim Truewind SL.
  • 2006–2007 - Numerical Weather Prediction technician, Meteosim SL.
  • 2006 - Assistant researcher, Fundació Bosch i Gimpera.
External recognitions
  • 2012 - AWS TruePower Innovation Award 
  • 2022 - 2nd place in the WMO S2S-AI challenge to improve sub-seasonal predictions of temperature and precipitation with machine learning