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A new regional climate model operating at the meso-gamma scale: performance over Europe
SMHI, Research Department, Climate research - Rossby Centre.ORCID iD: 0000-0001-8137-6664
SMHI, Research Department, Climate research - Rossby Centre.
SMHI, Research Department, Climate research - Rossby Centre.ORCID iD: 0000-0002-6495-1038
SMHI, Research Department, Climate research - Rossby Centre.
2015 (English)In: Tellus. Series A, Dynamic meteorology and oceanography, ISSN 0280-6495, E-ISSN 1600-0870, Vol. 67, 24138Article in journal (Refereed) Published
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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.

Place, publisher, year, edition, pages
2015. Vol. 67, 24138
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Climate Research
Research subject
Climate
Identifiers
URN: urn:nbn:se:smhi:diva-2015DOI: 10.3402/tellusa.v67.24138ISI: 000348723200001OAI: oai:DiVA.org:smhi-2015DiVA: diva2:917293
Available from: 2016-04-06 Created: 2016-03-03 Last updated: 2017-05-04Bibliographically approved

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Lindstedt, DavidLind, PetterKjellström, ErikJones, Colin
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Citation style
  • apa
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