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Sökning: id:"swepub:oai:DiVA.org:su-128380" > Spatial and tempora...

Spatial and temporal characteristics of summer precipitation over Central Europe in a suite of high-resolution climate models

Lind, Petter, 1979- (författare)
Stockholms universitet,Meteorologiska institutionen (MISU),Swedish Meteorological and Hydrological Institute, Sweden
Lindstedt, David (författare)
Stockholms universitet,Meteorologiska institutionen (MISU),Swedish Meteorological and Hydrological Institute, Sweden
Kjellström, Erik (författare)
Stockholms universitet,Meteorologiska institutionen (MISU),Swedish Meteorological and Hydrological Institute, Sweden
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Jones, Colin (författare)
University of Leeds, National Centre for Atmospheric Science, United Kingdom
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 (creator_code:org_t)
2016
2016
Engelska.
Ingår i: Journal of Climate. - 0894-8755 .- 1520-0442. ; 29:10, s. 3501-3518
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • High-impact, localized intense rainfall episodes represent a major socio-economic problem for societies worldwide, and at the same time these events are notoriously difficult to simulate properly in climate models. Here, the authors investigate how horizontal resolution and model formulation influence this issue by applying the HARMONIE regional climate model (HCLIM) with three different setups; two using convection parameterization at 15 and 6.25 km horizontal resolution (the latter within the “grey-zone” scale), with lateral boundary conditions provided by ERA-Interim reanalysis and integrated over a pan-European domain, and one with explicit convection at 2 km resolution (HCLIM2) over the Alpine region driven by the 15 km model. Seven summer seasons were sampled and validated against two high-resolution observational data sets. All HCLIM versions underestimate the number of dry days and hours by 20-40%, and overestimate precipitation over the Alpine ridge. Also, only modest added value were found of “grey-zone” resolution. However, the single most important outcome is the substantial added value in HCLIM2 compared to the coarser model versions at sub-daily time scales. It better captures the local-to-regional spatial patterns of precipitation reflecting a more realistic representation of the local and meso-scale dynamics. Further, the duration and spatial frequency of precipitation events, as well as extremes, are closer to observations. These characteristics are key ingredients in heavy rainfall events and associated flash floods, and the outstanding results using HCLIM in convection-permitting setting are convincing and encourage further use of the model to study changes in such events in changing climates.

Ämnesord

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Meteorologi och atmosfärforskning (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Meteorology and Atmospheric Sciences (hsv//eng)

Nyckelord

Regional climate modeling
high-resolution
precipitation
extremes
statistical analysis
atmosfärvetenskap och oceanografi
Atmospheric Sciences and Oceanography

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