Magnus Lindskog

Ph.D.

Phone: +46 11 495 8603

E-mail: firstname.lastname@smhi.se

Fields of work 

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

I am involved in several national and international research projects and also in the developments of the common Swedish, Norwegian, Finnish and Estonian 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 have worked with application of Kalman-Filter techniques for the surface data assimilation part of the forecast model.

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),   satellite-based  measurements of moisture, temperature and winds (with instruments such as MHS, MWHS-2, ATOVS, IASI och AEOLUS) and wind and temperature information from air traffic control systems (MODE-S). 

Research Interests 

• Numerical weather prediction
• Data assimilation
• Observation handling

Special competences 

Data assimilation in numerical weather prediction. 

Publications