Llorenç Lledó

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


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:


  • 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