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    AROME-MetCoOp: A Nordic Convective-Scale Operational Weather Prediction Model

    Source: Weather and Forecasting:;2017:;volume( 032 ):;issue: 002::page 609
    Author:
    Müller, Malte
    ,
    Homleid, Mariken
    ,
    Ivarsson, Karl-Ivar
    ,
    Køltzow, Morten A. Ø.
    ,
    Lindskog, Magnus
    ,
    Midtbø, Knut Helge
    ,
    Andrae, Ulf
    ,
    Aspelien, Trygve
    ,
    Berggren, Lars
    ,
    Bjørge, Dag
    ,
    Dahlgren, Per
    ,
    Kristiansen, Jørn
    ,
    Randriamampianina, Roger
    ,
    Ridal, Martin
    ,
    Vignes, Ole
    DOI: 10.1175/WAF-D-16-0099.1
    Publisher: American Meteorological Society
    Abstract: ince October 2013 a convective-scale weather prediction model has been used operationally to provide short-term forecasts covering large parts of the Nordic region. The model is now operated by a bilateral cooperative effort [Meteorological Cooperation on Operational Numerical Weather Prediction (MetCoOp)] between the Norwegian Meteorological Institute and the Swedish Meteorological and Hydrological Institute. The core of the model is based on the convection-permitting Applications of Research to Operations at Mesoscale (AROME) model developed by Météo-France. In this paper the specific modifications and updates that have been made to suit advanced high-resolution weather forecasts over the Nordic regions are described. This includes modifications in the surface drag description, microphysics, snow assimilation, as well as an update of the ecosystem and surface parameter description. Novel observation types are introduced in the operational runs, including ground-based Global Navigation Satellite System (GNSS) observations and radar reflectivity data from the Norwegian and Swedish radar networks. After almost two years? worth of experience with the AROME-MetCoOp model, the model?s sensitivities to the use of specific parameterization settings are characterized and the forecast skills demonstrating the benefit as compared with the global European Centre for Medium-Range Weather Forecasts? Integrated Forecasting System (ECMWF-IFS) are evaluated. Furthermore, case studies are provided to demonstrate the ability of the model to capture extreme precipitation and wind events.
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      AROME-MetCoOp: A Nordic Convective-Scale Operational Weather Prediction Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4232025
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    contributor authorMüller, Malte
    contributor authorHomleid, Mariken
    contributor authorIvarsson, Karl-Ivar
    contributor authorKøltzow, Morten A. Ø.
    contributor authorLindskog, Magnus
    contributor authorMidtbø, Knut Helge
    contributor authorAndrae, Ulf
    contributor authorAspelien, Trygve
    contributor authorBerggren, Lars
    contributor authorBjørge, Dag
    contributor authorDahlgren, Per
    contributor authorKristiansen, Jørn
    contributor authorRandriamampianina, Roger
    contributor authorRidal, Martin
    contributor authorVignes, Ole
    date accessioned2017-06-09T17:37:28Z
    date available2017-06-09T17:37:28Z
    date copyright2017/04/01
    date issued2017
    identifier issn0882-8156
    identifier otherams-88264.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4232025
    description abstractince October 2013 a convective-scale weather prediction model has been used operationally to provide short-term forecasts covering large parts of the Nordic region. The model is now operated by a bilateral cooperative effort [Meteorological Cooperation on Operational Numerical Weather Prediction (MetCoOp)] between the Norwegian Meteorological Institute and the Swedish Meteorological and Hydrological Institute. The core of the model is based on the convection-permitting Applications of Research to Operations at Mesoscale (AROME) model developed by Météo-France. In this paper the specific modifications and updates that have been made to suit advanced high-resolution weather forecasts over the Nordic regions are described. This includes modifications in the surface drag description, microphysics, snow assimilation, as well as an update of the ecosystem and surface parameter description. Novel observation types are introduced in the operational runs, including ground-based Global Navigation Satellite System (GNSS) observations and radar reflectivity data from the Norwegian and Swedish radar networks. After almost two years? worth of experience with the AROME-MetCoOp model, the model?s sensitivities to the use of specific parameterization settings are characterized and the forecast skills demonstrating the benefit as compared with the global European Centre for Medium-Range Weather Forecasts? Integrated Forecasting System (ECMWF-IFS) are evaluated. Furthermore, case studies are provided to demonstrate the ability of the model to capture extreme precipitation and wind events.
    publisherAmerican Meteorological Society
    titleAROME-MetCoOp: A Nordic Convective-Scale Operational Weather Prediction Model
    typeJournal Paper
    journal volume32
    journal issue2
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-16-0099.1
    journal fristpage609
    journal lastpage627
    treeWeather and Forecasting:;2017:;volume( 032 ):;issue: 002
    contenttypeFulltext
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