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WRF high resolution dynamical downscaling of ERA-Interim for Portugal

Soares, Pedro M. M. ; Cardoso, Rita M. ; Miranda, Pedro M. A. ; de Medeiros, Joana ; Belo-Pereira, Margarida ; Espirito-Santo, Fátima

Climate dynamics, 2012-11, Vol.39 (9-10), p.2497-2522 [Periódico revisado por pares]

Berlin/Heidelberg: Springer-Verlag

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  • Título:
    WRF high resolution dynamical downscaling of ERA-Interim for Portugal
  • Autor: Soares, Pedro M. M. ; Cardoso, Rita M. ; Miranda, Pedro M. A. ; de Medeiros, Joana ; Belo-Pereira, Margarida ; Espirito-Santo, Fátima
  • Assuntos: Analysis ; Atmospheric models ; Climate science ; Climatology ; Climatology. Bioclimatology. Climate change ; Computer simulation ; Earth and Environmental Science ; Earth Sciences ; Earth, ocean, space ; Exact sciences and technology ; External geophysics ; Geophysics/Geodesy ; Meteorology ; Numerical weather forecasting ; Oceanography ; Rain and rainfall ; Weather forecasting
  • É parte de: Climate dynamics, 2012-11, Vol.39 (9-10), p.2497-2522
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
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  • Descrição: This study proposes a dynamically downscaled climatology of Portugal, produced by a high resolution (9 km) WRF simulation, forced by 20 years of ERA-Interim reanalysis (1989–2008), nested in an intermediate domain with 27 km of resolution. The Portuguese mainland is characterized by large precipitation gradients, with observed mean annual precipitation ranging from about 400 to over 2,200 mm, with a very wet northwest and rather dry southeast, largely explained by orographic processes. Model results are compared with all available stations with continuous records, comprising daily information in 32 stations for temperature and 308 for precipitation, through the computation of mean climatologies, standard statistical errors on daily to seasonally timescales, and distributions of extreme events. Results show that WRF at 9 km outperforms ERA-Interim in all analyzed variables, with good results in the representation of the annual cycles in each region. The biases of minimum and maximum temperature are reduced, with improvement of the description of temperature variability at the extreme range of its distribution. The largest gain of the high resolution simulations is visible in the rainiest regions of Portugal, where orographic enhancement is crucial. These improvements are striking in the high ranking percentiles in all seasons, describing extreme precipitation events. WRF results at 9 km compare favorably with published results supporting its use as a high-resolution regional climate model. This higher resolution allows a better representation of extreme events that are of major importance to develop mitigation/adaptation strategies by policy makers and downstream users of regional climate models in applications such as flash floods or heat waves.
  • Editor: Berlin/Heidelberg: Springer-Verlag
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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