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  • 1.
    Bengtsson, Lisa
    et al.
    SMHI, Research Department, Meteorology.
    Andrae, Ulf
    SMHI, Research Department, Meteorology.
    Aspelien, Trygve
    SMHI.
    Batrak, Yurii
    Calvo, Javier
    de Rooy, Wim
    Gleeson, Emily
    Hansen-Sass, Bent
    Homleid, Mariken
    Hortal, Mariano
    Ivarsson, Karl-Ivar
    SMHI, Core Services.
    Lenderink, Geert
    Niemelza, Sami
    Nielsen, Kristian Pagh
    Onvlee, Jeanette
    Rontu, Laura
    SMHI.
    Samuelsson, Patrick
    SMHI, Research Department, Climate research - Rossby Centre.
    Santos Munoz, Daniel
    Subias, Alvaro
    Tijm, Sander
    Toll, Velle
    Yang, Xiaohua
    Koltzow, Morten Odegaard
    The HARMONIE-AROME Model Configuration in the ALADIN-HIRLAM NWP System2017In: Monthly Weather Review, ISSN 0027-0644, E-ISSN 1520-0493, Vol. 145, no 5, p. 1919-1935Article in journal (Refereed)
  • 2.
    Häggmark, Lars
    et al.
    SMHI, Core Services.
    Ivarsson, Karl-Ivar
    SMHI, Core Services.
    Gollvik, Stefan
    SMHI, Research Department, Meteorology.
    Olofsson, R O
    Mesan, an operational mesoscale analysis system2000In: Tellus. Series A, Dynamic meteorology and oceanography, ISSN 0280-6495, E-ISSN 1600-0870, Vol. 52, no 1, p. 2-20Article in journal (Refereed)
    Abstract [en]

    A system for mesoscale analyses of selected variables has been developed. The analysed parameters are of general interest in operational weather forecasting, but normally not available from NWP systems, or available, but with a significantly lower quality than achieved by the mesoscale analysis system. A supplementary objective is to produce initial information to be used for now-casting techniques. Examples of parameters are precipitation, temperature, humidity, visibility, wind and clouds. The basis of the analysis system is the optimal interpolation technique (OI). The use of observations from automatic stations, radars and satellites have been investigated. The investigation indicates that a dense network of ordinary precipitation gauge measurements can produce more accurate analyses than more elaborate systems like radar that suffers from anomalous echoes and other errors.

  • 3.
    Häggmark, Lars
    et al.
    SMHI, Core Services.
    Ivarsson, Karl-Ivar
    SMHI, Core Services.
    Olofsson, Per-Olof
    Militära Vädertjänsten.
    MESAN - Mesoskalig analys1997Report (Other academic)
  • 4.
    Häggmark, Lars
    et al.
    SMHI, Core Services.
    Ivarsson, Karl-Ivar
    SMHI, Core Services.
    Olofsson, Per-Olof
    Militära Vädertjänsten.
    MESAN Mesoskalig Analys1997Report (Other academic)
    Abstract [en]

    This report describes the work being done in developing the MESAN system for analyzing surface parameters and clouds. The following parameters are being analyzed:- 2 meter temperature,- precipitation in mm water for 1, 3, 12 and 12 hours accumulation time, and for new snow-cover in cm,- wind speed and direction and gust speed at 10 meter elevation,- visibility,- relative humidity,- total cloud cover,- amount and low clouds,- significant cloud base,- probability of observing significant cloud base,- higt of cloud top,- depth of snow cover, and- sea surface temperature.Hirlam data are normally used as first guess fields. Observatons are taken from synop, metar, Swedish climate stations, satellites, radars and automatic stations. Much work has been devoted to minimizing systematic errors in observations and investigating structure functions of first guess errors.The analys method used is optimal interpolation.

  • 5.
    Ivarsson, Karl-Ivar
    SMHI, Core Services.
    Resultat av byggväderprognoser - säsongen 1984/851986Report (Other academic)
1 - 5 of 5
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