Climatic Change

, Volume 122, Issue 1, pp 243–256

Seasonal to yearly assessment of temperature and precipitation trends in the North Western Mediterranean Basin by dynamical downscaling of climate scenarios at high resolution (1971–2050)

  • M. Gonçalves
  • A. Barrera-Escoda
  • D. Guerreiro
  • J. M. Baldasano
  • J. Cunillera
Article

DOI: 10.1007/s10584-013-0994-y

Cite this article as:
Gonçalves, M., Barrera-Escoda, A., Guerreiro, D. et al. Climatic Change (2014) 122: 243. doi:10.1007/s10584-013-0994-y

Abstract

The complex topography and high climatic variability of the North Western Mediterranean Basin (NWMB) require a detailed assessment of climate change projections at high resolution. ECHAM5/MPIOM global climate projections for mid-21st century and three different emission scenarios are downscaled at 10 km resolution over the NWMB, using the WRF-ARW regional model. High resolution improves the spatial distribution of temperature and precipitation climatologies, with Pearson's correlation against observation being higher for WRF-ARW (0.98 for temperature and 0.81 for precipitation) when compared to the ERA40 reanalysis (0.69 and 0.53, respectively). However, downscaled results slightly underestimate mean temperature (≈1.3 K) and overestimate the precipitation field (≈400 mm/year). Temperature is expected to raise in the NWMB in all considered scenarios (up to 1.4 K for the annual mean), and particularly during summertime and at high altitude areas. Annual mean precipitation is likely to decrease (around −5 % to −13 % for the most extreme scenarios). The climate signal for seasonal precipitation is not so clear, as it is highly influenced by the driving GCM simulation. All scenarios suggest statistically significant decreases of precipitation for mountain ranges in winter and autumn. High resolution simulations of regional climate are potentially useful to decision makers. Nevertheless, uncertainties related to seasonal precipitation projections still persist and have to be addressed.

Supplementary material

10584_2013_994_MOESM1_ESM.pdf (3.8 mb)
Online Resource 1(PDF 3910 kb)
10584_2013_994_MOESM2_ESM.pdf (37 kb)
Online Resource 2(PDF 37 kb)
10584_2013_994_MOESM3_ESM.pdf (1.3 mb)
Online Resource 3(PDF 1360 kb)
10584_2013_994_MOESM4_ESM.pdf (3 mb)
Online Resource 4(PDF 3118 kb)
10584_2013_994_MOESM5_ESM.pdf (7.1 mb)
Online Resource 5(PDF 7252 kb)
10584_2013_994_MOESM6_ESM.pdf (2.9 mb)
Online Resource 6(PDF 2918 kb)
10584_2013_994_MOESM7_ESM.pdf (13.2 mb)
Online Resource 7(PDF 13564 kb)

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • M. Gonçalves
    • 1
    • 2
  • A. Barrera-Escoda
    • 3
  • D. Guerreiro
    • 1
  • J. M. Baldasano
    • 1
    • 2
  • J. Cunillera
    • 3
  1. 1.Earth Sciences DepartmentBarcelona Supercomputing CenterBarcelonaSpain
  2. 2.Projects DepartmentTechnical University of CataloniaBarcelonaSpain
  3. 3.Climate Change Unit, Meteorological Service of CataloniaBarcelonaSpain

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