Phone: +46 11 495 8603
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).
- Numerical weather prediction
- Data assimilation
- Observation handling
Data assimilation in numerical weather prediction.
Latest publications from Magnus Lindskog
- Hagelin,SusannaEvaluating the use of Aeolus satellite observations in the regional numerical weather prediction (NWP) model Harmonie-Arome2021In: Atmospheric Measurement Techniques, Vol. 14, no 8, 5925-5938 p.DOI: 10.5194/amt-14-5925-2021
- Belova,EvgeniaValidation of Aeolus winds using ground-based radars in Antarctica and in northern Sweden2021In: Atmospheric Measurement Techniques, Vol. 14, no 8, 5415-5428 p.DOI: 10.5194/amt-14-5415-2021
- Lindskog,MagnusUse of Microwave Radiances from Metop-C and Fengyun-3 C/D Satellites for a Northern European Limited-area Data Assimilation System2021In: Advances in Atmospheric SciencesDOI: 10.1007/s00376-021-0326-5