Magnus Lindskog
Ph.D.
Magnus Lindskog
Contact and CV
Publications
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.
Latest publications
Impact of Mode-S Enhanced Surveillance Weather Observations on Weather Forecasts over the MetCoOp Northern European Model Domain
Magnus Lindskog, Roohollah Azad, Siebren De Haan, Jesper Blomster, Martin Ridal
Evaluating the use of Aeolus satellite observations in the regional numerical weather prediction (NWP) model Harmonie-Arome
Susanna Hagelin, Roohollah Azad, Magnus Lindskog, Harald Schyberg, Heiner Körnich
Validation of Aeolus winds using ground-based radars in Antarctica and in northern Sweden
Evgenia Belova, Sheila Kirkwood, Peter Voelger, Sourav Chatterjee, Karathazhiyath Satheesan, Susanna Hagelin, Magnus Lindskog, Heiner Körnich
Abstract
Winds measured by lidar from the Aeolus satellite are compared with winds measured by two ground-based radars - MARA in Antarctica (70.77 degrees S, 11.73 degrees E) and ES-RAD (67.88 degrees N, 21.10 degrees E) in Arctic Sweden - for the period 1 July-31 December 2019. Aeolus is a demonstrator mission to test whether winds measured by Doppler lidar from space can have sufficient accuracy to contribute to improved weather forecasting. A comprehensive programme of calibration and validation has been undertaken following the satellite launch in 2018, but, so far, direct comparison with independent measurements from the Arctic or Antarctic regions have not been made. The comparison covers heights from the low troposphere to just above the tropopause. Results for each radar site are presented separately for Rayleigh (clear) winds, Mie (cloudy) winds, sunlit ("summer") and non-sunlit ("winter") seasons, and ascending and descending satellite tracks. Horizontally projected line-of-sight (HLOS) winds from Aeolus, reprocessed using baseline 2B10, for passes within 100 km of the radar sites, are compared with HLOS winds calculated from 1 h averaged radar horizontal wind components. The agreement in most data subsets is very good, with no evidence of significant biases (<1ms(-1)). Possible biases are identified for two subsets (about -2ms(-1) for the Rayleigh winds for the descending passes at MARA and about 2ms(-1) for the Mie winds for the ascending passes at ESRAD, both in winter), but these are only marginally significant. A robust significant bias of about 7ms(-1) is found for the Mie winds for the ascending tracks at MARA in summer. There is also some evidence for increased random error (by about 1ms(-1) / for the Aeolus Mie winds at MARA in summer compared to winter. This might be related to the presence of sunlight scatter over the whole of Antarctica as Aeolus transits across it during summer.
