Linus Magnusson

Senior Scientist
Forecast Department, Evaluation Section, Diagnostics

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Profile
Summary: 

Linus Magnusson obtained his PhD from Stockholm University in 2009 and joined ECMWF shortly after. He started his work on ocean initialisation and ENSO forecasting in the Seasonal forecasting section where he also worked on sea-ice modelling. In 2011 he moved to the Ensemble forecasting section working on diagnostics and has now a similar job the Evaluation section. His research interests includes model climate and variability diagnostics, medium-range forecast error propagation, diagnostics for processes in the Arctic and severe weather such as tropical cyclones.

Professional interests: 
  • Predictability

    • The research focuses on understanding periods of low predictability in the extra-tropics. For such investigations several diagnostic tools are used, such as relaxation experiments that constrain the model inside a specified box. The methods are described in Magnusson (2017).
    • The research was described in a ECMWF web article in 2016.
  • Severe weather evaluation
  • Tropical cyclones
  • Model climate
    • Linus is currently responsible to evaluate the model climate (mean and variability metrics) on the seasonal time-scale for each new model cycle.
  • Arctic processes
    • Linus is Involved in H2020 project APPLICATE, and contribute to the work on diagnostic tools for the Arctic and predictability studies.

 

Career background: 

2005 Master degree Uppsala University

2009 PhD degree Stockholm University

2009- ECMWF

Publications