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Influence of spatial resolution on regional climate model derived wind climates
SMHI, Research Department, Climate research - Rossby Centre.ORCID iD: 0000-0002-4226-8713
SMHI, Research Department, Climate research - Rossby Centre.
2012 (English)In: Journal of Geophysical Research - Atmospheres, ISSN 2169-897X, E-ISSN 2169-8996, Vol. 117, D03117Article in journal (Refereed) Published
Abstract [en]

Wind speeds for a nominal height of 10 m and from the lowest model level (similar to 70 m above ground level) from the Rossby Center regional climate model (RCM) (RCA3) run at four resolutions between approximately 50 x 50 km and 6 x 6 km are analyzed to assess the effect of model resolution on wind climates. The influence of model resolution in this topographically simple subdomain of northern Europe is more profound in the wind extremes than in the central tendency. The domain-averaged mean wind speed at 10 m increases by 5% as the resolution increases from 50 to 6.25 km, while the 50 year return period wind speed and wind gust at this height increase by over 10% and 24%, respectively. Larger changes are observed in these wind speed metrics at the lowest model level as model resolution increases (similar to+10% in the mean and similar to+20% in the 50 year return period wind speed). These differences are of similar magnitude to the climate change signal in extreme wind events derived in prior research and may have implications for climate change risk and vulnerability analyses. Output from the lowest model level indicates some evidence for increased variability at synoptic and meso-alpha time scales with increased model resolution, but the effect is nonlinear. Furthermore, analysis of power spectra of grid cell average and tile fraction wind speeds at 10 m does not support the assertion that increased model resolution increases model skill at synoptic and meso-a time scales relative to in situ observations.

Place, publisher, year, edition, pages
2012. Vol. 117, D03117
National Category
Climate Research
Research subject
Climate
Identifiers
URN: urn:nbn:se:smhi:diva-468DOI: 10.1029/2011JD016822ISI: 000300821000005OAI: oai:DiVA.org:smhi-468DiVA: diva2:805966
Available from: 2015-04-17 Created: 2015-04-14 Last updated: 2017-12-04Bibliographically approved

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Nikulin, GrigoryJones, Colin

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