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  • 1.
    Lind, Petter
    et al.
    SMHI, Research Department, Climate research - Rossby Centre.
    Lindstedt, David
    SMHI, Research Department, Climate research - Rossby Centre.
    Kjellström, Erik
    SMHI, Research Department, Climate research - Rossby Centre.
    Jones, Colin
    SMHI, Research Department, Climate research - Rossby Centre.
    Spatial and Temporal Characteristics of Summer Precipitation over Central Europe in a Suite of High-Resolution Climate Models2016In: Journal of Climate, ISSN 0894-8755, E-ISSN 1520-0442, Vol. 29, no 10, p. 3501-3518Article in journal (Refereed)
  • 2.
    Lindstedt, David
    SMHI, Research Department, Climate research - Rossby Centre.
    Effekter av djupvattenomblandning i Östersjön – en modellstudie2008Report (Other academic)
    Abstract [sv]

    Blandningen av vattenmassorna har mycket stor betydelse i ett halvinslutet hav som Östersjön. Den påverkar bland annat havsströmmar, yttemperatur och algblomning. Blandningen orsakas främst av skjuvning från vind- och isstress, buoyancyflöden på grund av avkylning eller avdunstning vid ytan samt skjuvning från interna vågor.Genom att jämföra olika turbulensmodeller har skillnader av förnyelsen av djupvattnet i Östersjön studerats. Till detta har en kopplad tredimensionell fysikalisk-biogeokemisk modell använts. Den grundar sig på Rossby Centre Ocean Model (RCO) och Swedish Coastal and Ocean Biogeochemical model (SCOBI). I havsmodellen har blandningen beräknats med en turbulensmodell av typen k-e. Stabilitetsfunktionerna består av ett Richardsonsberoende Prandtltal. Som jämförelse har samma turbulensmodell använts men med en mer komplex stabilitetsfunktion. Slutligen har även effekterna av ett blandningsschema av typen KPP (K Profil Parametrisation) studerats. Djupvattenomblandningen på grund av interna vågor är parametriserad som en funktion av buoyancyfrekvensen för samtliga turbulensmodeller.Studien visade att KPP modellen simulerar den lägsta blandningen vilket ger ett för tunt väl omblandat ytskikt. k-e modellen med modifierade stabilitetsfunktioner har det lägsta inflödet av saltrikt vatten medan KPP har det högsta inflödet. Den horisontella advektionen av djupvatten in till östra Gotlandsbassängen är högst i den modifierade k-e modellen vilket har störst påverkan för syrenivån.

  • 3.
    Lindstedt, David
    et al.
    SMHI, Research Department, Climate research - Rossby Centre.
    Lind, Petter
    SMHI, Research Department, Climate research - Rossby Centre.
    Kjellström, Erik
    SMHI, Research Department, Climate research - Rossby Centre.
    Jones, Colin
    SMHI, Research Department, Climate research - Rossby Centre.
    A new regional climate model operating at the meso-gamma scale: performance over Europe2015In: Tellus. Series A, Dynamic meteorology and oceanography, ISSN 0280-6495, E-ISSN 1600-0870, Vol. 67, article id 24138Article in journal (Refereed)
    Abstract [en]

    There are well-known difficulties to run numerical weather prediction (NWP) and climate models at resolutions traditionally referred to as 'grey-zone' (similar to 3-8 km) where deep convection is neither completely resolved by the model dynamics nor completely subgrid. In this study, we describe the performance of an operational NWP model, HARMONIE, in a climate setting (HCLIM), run at two different resolutions (6 and 15 km) for a 10-yr period (1998-2007). This model has a convection scheme particularly designed to operate in the 'grey-zone' regime, which increases the realism and accuracy of the time and spatial evolution of convective processes compared to more traditional parametrisations. HCLIM is evaluated against standard observational data sets over Europe as well as high-resolution, regional, observations. Not only is the regional climate very well represented but also higher order climate statistics and smaller scale spatial characteristics of precipitation are in good agreement with observations. The added value when making climate simulations at similar to 5 km resolution compared to more typical regional climate model resolutions is mainly seen for the very rare, high-intensity precipitation events. HCLIM at 6 km resolution reproduces the frequency and intensity of these events better than at 15 km resolution and is in closer agreement with the high-resolution observations.

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