Magnus Lindskog

Magnus Lindskog

PhD, research leader

Phone: +46 11 495 8603


Fields of work 

I work with various aspects of data assimilation for numerical weather prediction. My research covers algorithmic developments, handling of background error statistics and observation handling, both for upper-air data assimilation and surface data assimilation.

I am involved in several European research projects and also in the developments of the common Swedish-Norwiegan operational modelling system, covering a North-European area.

The algorithmic developments that I am involved in are 4-dimensional variational data assimilation for the upper-air part of the kilometre-scale forecast model applied at SMHI. Furthermore I work with application of Kalman Filter techniques for the surface data assimilation part of the kilometre-scale forecast model applied at SMHI.

The observation handling work is focused on observations considered important for km-scale data assimilation, such as moisture information from the Global Navigation Satellite System (GNSS) and soil moisture information from the Advanced SCATterometer (ASCAT) instrument.

I am involved in a national project, RSLAND, funded by the Swedish National Space Board (SNSB). The European Union projects that I am involved in are DNICAST, IMPREX and COST ES1206. All projects focus on improving various aspects of numerical weather prediction. 

Research Interests 

  • Numerical weather prediction
  • Data assimilation
  • Observation handling

Special competences 

Research leader for the field of data assimilation in numerical weather prediction.