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  • 1. Belova, Evgenia
    et al.
    Kirkwood, Sheila
    Voelger, Peter
    Chatterjee, Sourav
    Satheesan, Karathazhiyath
    Hagelin, Susanna
    SMHI, Research Department, Meteorology.
    Lindskog, Magnus
    SMHI, Research Department, Meteorology.
    Körnich, Heiner
    SMHI, Research Department, Meteorology.
    Validation of Aeolus winds using ground-based radars in Antarctica and in northern Sweden2021In: Atmospheric Measurement Techniques, ISSN 1867-1381, E-ISSN 1867-8548, Vol. 14, no 8, p. 5415-5428Article in journal (Refereed)
    Abstract [en]

    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.

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    Validation of Aeolus winds using ground-based radars in Antarctica and in northern Sweden
  • 2. Belova, Evgenia
    et al.
    Voelger, Peter
    Kirkwood, Sheila
    Hagelin, Susanna
    SMHI, Research Department, Meteorology.
    Lindskog, Magnus
    SMHI, Research Department, Meteorology.
    Körnich, Heiner
    SMHI, Research Department, Meteorology.
    Chatterjee, Sourav
    Satheesan, Karathazhiyath
    Validation of wind measurements of two mesosphere-stratosphere-troposphere radars in northern Sweden and in Antarctica2021In: Atmospheric Measurement Techniques, ISSN 1867-1381, E-ISSN 1867-8548, Vol. 14, no 4, p. 2813-2825Article in journal (Refereed)
    Download full text (pdf)
    Validation of wind measurements of two mesosphere-stratosphere-troposphere radars in northern Sweden and in Antarctica
  • 3.
    Hagelin, Susanna
    et al.
    SMHI, Research Department, Meteorology.
    Azad, Roohollah
    Lindskog, Magnus
    SMHI, Research Department, Meteorology.
    Schyberg, Harald
    Körnich, Heiner
    SMHI, Research Department, Meteorology.
    Evaluating the use of Aeolus satellite observations in the regional numerical weather prediction (NWP) model Harmonie-Arome2021In: Atmospheric Measurement Techniques, ISSN 1867-1381, E-ISSN 1867-8548, Vol. 14, no 8, p. 5925-5938Article in journal (Refereed)
    Download full text (pdf)
    Evaluating the use of Aeolus satellite observations in the regional numerical weather prediction (NWP) model Harmonie–Arome
  • 4. Porson, Aurore N.
    et al.
    Carr, Joanne M.
    Hagelin, Susanna
    SMHI, Research Department, Climate research - Rossby Centre.
    Darvell, Rob
    North, Rachel
    Walters, David
    Mylne, Kenneth R.
    Mittermaier, Marion P.
    Willington, Steve
    Macpherson, Bruce
    Recent upgrades to the Met Office convective-scale ensemble: An hourly time-lagged 5-day ensemble2020In: Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, E-ISSN 1477-870X, p. 1-21Article in journal (Refereed)
    Download full text (pdf)
    fulltext
  • 5. Porson, Aurore N.
    et al.
    Hagelin, Susanna
    SMHI, Research Department.
    Boyd, Douglas F. A.
    Roberts, Nigel M.
    North, Rachel
    Webster, Stuart
    Lo, Jeff Chun-Fung
    Extreme rainfall sensitivity in convective-scale ensemble modelling over Singapore2019In: Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, E-ISSN 1477-870XArticle in journal (Refereed)
    Download full text (pdf)
    fulltext
  • 6.
    Ridal, Martin
    et al.
    SMHI, Research Department, Meteorology.
    Bazile, Eric
    Le Moigne, Patrick
    Randriamampianina, Roger
    Schimanke, Semjon
    SMHI, Samhällsplanering.
    Andrae, Ulf
    SMHI, Research Department, Meteorology.
    Berggren, Lars
    SMHI, Samhällsberedskap.
    Brousseau, Pierre
    Dahlgren, Per
    Edvinsson, Lisette
    SMHI, Samhällsplanering.
    El-Said, Adam
    Glinton, Michael
    Hagelin, Susanna
    SMHI, Research Department, Meteorology.
    Hopsch, Susanna
    SMHI, Samhällsberedskap.
    Isaksson, Ludvig
    SMHI, Samhällsplanering.
    Medeiros, Paulo
    SMHI, Research Department, Meteorology.
    Olsson, Esbjörn
    SMHI, Research Department, Meteorology.
    Undén, Per
    SMHI, Research Department, Meteorology.
    Wang, Zheng Qi
    CERRA, the Copernicus European Regional Reanalysis system2024In: Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, E-ISSN 1477-870XArticle in journal (Refereed)
    Download full text (pdf)
    CERRA, the Copernicus European Regional Reanalysis system
1 - 6 of 6
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