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  • 1.
    Belusic, Danijel
    et al.
    SMHI, Research Department, Climate research - Rossby Centre.
    de Vries, Hylke
    Dobler, Andreas
    Landgren, Oskar
    Lind, Petter
    SMHI, Research Department, Climate research - Rossby Centre.
    Lindstedt, David
    SMHI, Research Department, Climate research - Rossby Centre.
    Pedersen, Rasmus A.
    Carlos Sanchez-Perrino, Juan
    Toivonen, Erika
    van Ulft, Bert
    Wang, Fuxing
    SMHI, Research Department, Climate research - Rossby Centre.
    Andrae, Ulf
    SMHI, Research Department, Meteorology.
    Batrak, Yurii
    Kjellström, Erik
    SMHI, Research Department, Climate research - Rossby Centre.
    Lenderink, Geert
    Nikulin, Grigory
    SMHI, Research Department, Climate research - Rossby Centre.
    Pietikainen, Joni-Pekka
    Rodriguez-Camino, Ernesto
    Samuelsson, Patrick
    SMHI, Research Department, Climate research - Rossby Centre.
    van Meijgaard, Erik
    Wu, Minchao
    SMHI, Research Department, Climate research - Rossby Centre.
    HCLIM38: a flexible regional climate model applicable for different climate zones from coarse to convection-permitting scales2020In: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 13, no 3, p. 1311-1333Article in journal (Refereed)
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  • 2.
    Gidhagen, Lars
    et al.
    SMHI, Research Department, Air quality.
    Olsson, Jonas
    SMHI, Research Department, Hydrology.
    Amorim, Jorge Humberto
    SMHI, Research Department, Air quality.
    Asker, Christian
    SMHI, Research Department, Air quality.
    Belušić, Danijel
    SMHI, Research Department, Climate research - Rossby Centre.
    Carvalho, Ana Cristina
    SMHI, Research Department, Air quality.
    Engardt, Magnuz
    Hundecha, Yeshewatesfa
    SMHI, Research Department, Hydrology.
    Körnich, Heiner
    SMHI, Research Department, Meteorology.
    Lind, Petter
    SMHI, Research Department, Climate research - Rossby Centre.
    Lindstedt, David
    SMHI, Research Department, Climate research - Rossby Centre.
    Olsson, Esbjörn
    SMHI, Research Department, Meteorology.
    Rosberg, Jörgen
    SMHI, Research Department, Hydrology.
    Segersson, David
    SMHI, Research Department, Air quality.
    Strombäck, Lena
    SMHI, Research Department, Hydrology.
    Towards climate services for European cities: Lessons learnt from the Copernicus project Urban SIS2020In: Urban Climate, ISSN 2212-0955, E-ISSN 2212-0955, Vol. 31, article id 100549Article in journal (Refereed)
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    fulltext
  • 3.
    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)
  • 4.
    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.

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  • 5.
    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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  • 6.
    Wu, Minchao
    et al.
    SMHI, Research Department, Climate research - Rossby Centre.
    Nikulin, Grigory
    SMHI, Research Department, Climate research - Rossby Centre.
    Kjellström, Erik
    SMHI, Research Department, Climate research - Rossby Centre.
    Belušić, Danijel
    SMHI, Research Department, Climate research - Rossby Centre.
    Jones, Colin
    Lindstedt, David
    SMHI, Research Department, Climate research - Rossby Centre.
    The impact of regional climate model formulation and resolution on simulated precipitation in Africa2020In: Earth System Dynamics, ISSN 2190-4979, E-ISSN 2190-4987, Vol. 11, no 2, p. 377-394Article in journal (Refereed)
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1 - 6 of 6
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  • apa
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  • en-US
  • fi-FI
  • nn-NO
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