Resolution effects on regional climate model simulations of seasonal precipitation over Europe View Full Text


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Article Info

DATE

2009-06-23

AUTHORS

Sara A. Rauscher, Erika Coppola, Claudio Piani, Filippo Giorgi

ABSTRACT

We analyze a set of nine regional climate model simulations for the period 1961–2000 performed at 25 and 50 km horizontal grid spacing over a European domain in order to determine the effects of horizontal resolution on the simulation of precipitation. All of the models represent the seasonal mean spatial patterns and amount of precipitation fairly well. Most models exhibit a tendency to over-predict precipitation, resulting in a domain-average total bias for the ensemble mean of about 20% in winter (DJF) and less than 10% in summer (JJA) at both resolutions, although this bias could be artificially enhanced by the lack of a gauge correction in the observations. A majority of the models show increased precipitation at 25 km relative to 50 km over the oceans and inland seas in DJF, JJA, and ANN (annual average), although the response is strongest during JJA. The ratio of convective precipitation to total precipitation decreases over land for most models at 25 km. In addition, there is an increase in interannual variability in many of the models at 25 km grid spacing. Comparison with gridded observations indicates that a majority of models show improved skill in simulating both the spatial pattern and temporal evolution of precipitation at 25 km compared to 50 km during the summer months, but not in winter or on an annual mean basis. Model skill at higher resolution in simulating the spatial and temporal character of seasonal precipitation is found especially for Great Britain. This geographic dependence of the increased skill suggests that observed data of sufficient density are necessary to capture fine-scale climate signals. As climate models increase their horizontal resolution, it is thus a key priority to produce high quality fine scale observations for model evaluation. More... »

PAGES

685-711

References to SciGraph publications

  • 1998-12. Regional Nested Model Simulations of Present Day and 2 × CO2 Climate over the Central Plains of the U.S. in CLIMATIC CHANGE
  • 1995-05. Analysis of variability and diurnal range of daily temperature in a nested regional climate model: comparison with observations and doubled CO2 results in CLIMATE DYNAMICS
  • 2007-03-20. Extremes of near-surface wind speed over Europe and their future changes as estimated from an ensemble of RCM simulations in CLIMATIC CHANGE
  • 2006-07-05. On the role of resolution and topography in the simulation of East Asia precipitation in THEORETICAL AND APPLIED CLIMATOLOGY
  • 2006-06-14. Domain choice in an experimental nested modeling prediction system for South America in THEORETICAL AND APPLIED CLIMATOLOGY
  • 2006-10-06. RegCM3 regional climatologies for South America using reanalysis and ECHAM global model driving fields in CLIMATE DYNAMICS
  • 2008-12-12. Ability of an ensemble of regional climate models to reproduce weather regimes over Europe-Atlantic during the period 1961–2000 in CLIMATE DYNAMICS
  • 2004-08-04. Effects of model resolution and subgrid-scale physics on the simulation of precipitation in the continental United States in CLIMATE DYNAMICS
  • 2003-08-26. High-resolution simulations of global climate, part 1: present climate in CLIMATE DYNAMICS
  • 1992-12. Simulated changes in daily rainfall intensity due to the enhanced greenhouse effect: implications for extreme rainfall events in CLIMATE DYNAMICS
  • 2002-07. The processes governing horizontal resolution sensitivity in a climate model in CLIMATE DYNAMICS
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    http://scigraph.springernature.com/pub.10.1007/s00382-009-0607-7

    DOI

    http://dx.doi.org/10.1007/s00382-009-0607-7

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