2008
DOI: 10.1016/j.atmosenv.2008.08.032
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A comprehensive sensitivity analysis of the WRF model for air quality applications over the Iberian Peninsula

Abstract: Meteorological inputs play a vital role on regional air quality modelling. An extensive sensitivity analysis of the Weather Research and Forecasting (WRF) model was performed, in the framework of the Integrated Assessment Modelling System for the Iberian Peninsula (SIMCA) project. Up to 23 alternative model configurations, including Planetary Boundary Layer schemes, Microphysics, Land-surface models, Radiation schemes, Sea Surface Temperature and Four-Dimensional Data Assimilation were tested in a 3 km spatial… Show more

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Cited by 273 publications
(172 citation statements)
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“…2). Two-way nesting has been used in several studies in IP, as Borge et al (2008) or Carvalho et al (2012). The model domain (D1) had a 27-km spatial resolution, and it covered western Europe, from the south of France to the north of Africa and a longitude from the western Mediterranean to the Canary Islands.…”
Section: Model Overview and Evaluation Proceduresmentioning
confidence: 99%
“…2). Two-way nesting has been used in several studies in IP, as Borge et al (2008) or Carvalho et al (2012). The model domain (D1) had a 27-km spatial resolution, and it covered western Europe, from the south of France to the north of Africa and a longitude from the western Mediterranean to the Canary Islands.…”
Section: Model Overview and Evaluation Proceduresmentioning
confidence: 99%
“…In areas surrounding the Mediterranean region the two primary meteorological models used in earlier efforts were the fifth generation Penn State-NCAR mesoscale model (MM5) model Bossioli et al 2009) and the Weather Research and Forecasting (WRF) model (Borge et al 2008;Pichelli et al 2014). Overall, it has been determined that no PBL scheme is superior to the others under all conditions, and each scheme has strengths and weaknesses.…”
Section: Introductionmentioning
confidence: 99%
“…The first of these is its use with different global climate models (GCMs) in an attempt to determine long-term trends in the climate of a given region (e.g., Caldwell et al 2009;Zhang et al 2009;Salathé et al 2010). An alternative and sometimes complementary application of WRF is to increase the resolution beyond that available from the GCM (or reanalysis data) for a particular geographic region and often with a particular state variable or local phenomenon in mind (e.g., Borge et al 2008;Flaounas et al 2010;Evans and McCabe 2010;Mercader et al 2010;Prabha et al 2011). Salathé et al (2010) compared two 100-yr regional climate simulations for the State of Washington using WRF.…”
Section: Introductionmentioning
confidence: 99%