Climate change and the Portuguese precipitation: ENSEMBLES regional climate models results

Climate Dynamics

Volumn 45, Issue 7-8, 2015, Pages 1771-1787

  Soares, Pedro M M ^a   Cardoso, Rita M ^a   Ferreira, João Jacinto ^b   Miranda, Pedro M A ^a  

^a UNIVERSITY OF LISBON   (Portugal)

^b INSTITUTO PORTUGUÊS DO MAR E DA ATMOSFERA   (Portugal)

Author keywords

Basins; Climate change; Extremes; PDFs; Portugal; Precipitation; Regional climate modelling

Indexed keywords

BASIN; CLIMATE CHANGE; CLIMATE MODELING; ENSEMBLE FORECASTING; EXTREME EVENT; PRECIPITATION (CLIMATOLOGY); RAINFALL; REGIONAL CLIMATE;

PORTUGAL;

EID: 84943819266     PISSN: 09307575     EISSN: 14320894     Source Type: Journal    
DOI: 10.1007/s00382-014-2432-x     Document Type: Article

References (77)

1. Alpert P et al (2002) The paradoxical increase of Mediterranean extreme daily rainfall in spite of decrease in total values. Geophys Res Lett 29(11):311–314
2. Argüeso D, Hidalgo-Muñoz JM, Gámiz-Fortis SR, Esteban-Parra MJ, Castro-Díez Y (2012) High-resolution projections of mean and extreme precipitation over Spain using the WRF model (2070–2099 versus 1970–1999). J Geophys Res 117:D12108. doi:10.1029/2011JD017399
3. Belo-Pereira M, Dutra E, Viterbo P (2011) Evaluation of global precipitation datasets over the Iberian Peninsula. J Geophys Res 116:D20101. doi:10.1029/2010JD015481
4. Bishop CH, Abramowitz G (2013) Climate model dependence and the replicate Earth paradigm. Clim Dyn 41:885–900
5. Boberg F, Berg P, Thejll P, Gutowski WJ, Christensen JH (2009) Improved confidence in climate change projections of precipitation evaluated using daily statistics from the PRUDENCE ensemble. Clim Dyn 32(7–8):1097–1106. doi:10.1007/s00382-008-0446-y
6. Boberg F, Berg P, Thejll P, Gutowski WJ, Christensen JH (2010) Improved confidence in climate change projections of precipitation further evaluated using daily statistics from ENSEMBLES models. Clim Dyn 35:1509–1520
7. Cardoso RM, Soares PMM, Miranda PMA, Belo-Pereira M (2013) WRF high resolution simulation of Iberian mean and extreme precipitation climate. Int J Climatol 33:2591–2608. doi:10.1002/joc.3616
8. Christensen JH, Christensen OB (2007) A summary of the PRUDENCE model projections of changes in European climate by the end of the century. Clim Change 81:7–30
9. Christensen O, Drews M, Christensen J, Dethloff K, Ketelsen K, Hebestadt I, Rinke A (2006) The HIRHAM regional climate model version 5(b). Tech Rep 06-17. Dan Meteorol Inst. Copenhagen
10. Christensen J, Kjellstrom E, Giorgi F, Lenderink G, Rummukainen M (2010) Weight assignment in regional climate models. Clim Res 44:179–194
11. Collins M, Booth B, Harris G, Murphy J, Sexton D, Webb M (2006) Towards quantifying uncertainty in transient climate change. Clim Dyn 27(2–3):127–147. doi:10.1007/s00382-006-0121-0
12. Déqué M, Jones RG, Wild M, Giorgi F, Christensen JH, Hassell DC, Vidale PL, Röckel B, Jacob D, Kjellström E, de Castro M, Kucharski F, van den Hurk B (2005) Global high resolution versus limited-area model scenarios over Europe: results from the PRUDENCE project. Clim Dyn 25:653–670. doi:10.1007/s00382-005-0052-1
13. Déqué M, Rowell DP, Lüthi D, Giorgi F, Christensen JH, Rockel B, Jacob D, Kjellström E, Castro MD, van den Hurk B (2007) An intercomparison of regional climate simulations for Europe: assessing uncertainties in model projections. Clim Change 81:53–70
14. Diaconescu EP, Laprise R, Sushama L (2007) The impact of lateral boundary data errors on the simulated climate of a nested regional climate model. Clim Dyn 28:333–350
15. Evans JP, Ji F, Abramowitz G, Ekstrom M (2013) Optimally choosing small ensemble members to produce robust climate simulations. Environ Res Lett 8:044050. doi:10.1088/1748-9326/8/4/044050
16. Ferro C, Hannachi A, Stephenson D (2005) Simple nonparametric techniques for exploring changing probability distributions of weather. J Clim 18:4344–4354
17. Frei C, Christensen JH, Déqué M, Jacob D, Jones RG, Vidale PL (2003) Daily precipitation statistics in regional climate models: evaluation and intercomparison for the European Alps. J Geophys Res 108(D3):4124. doi:10.1029/2002JD002287
18. Frei C, Scholl R, Fukutome S, Schmidli J, Vidale PL (2006) Future change of precipitation extremes in Europe: intercomparison of scenarios from regional climate models. J Geophys Res 111:D06105. doi:10.1029/2005JD005965
19. Gao X, Pal JS, Giorgi F (2006) Projected changes in mean and extreme precipitation over the Mediterranean region from a high resolution double nested RCM simulation. Geophys Res Lett 33:L03706. doi:10.1029/2005GL024954
20. Giorgi F (2006) Climate change hot-spots. Geophys Res Lett 33:L08707. doi:10.1029/2006GL025734
21. Giorgi F, Lionello P (2008) Climate change projections for the Mediterranean region. Glob Planet Change 63:90–104. doi:10.1016/j.gloplacha.2007.09.005
22. Giorgi F, Mearns LO (2003) Probability of regional climate change based on the Reliability Ensemble Averaging (REA) method. Geophys Res Lett 30:1629. doi:10.1029/2003GL017130.12
23. Giorgi F, Jones C, Asrar GR (2009) Addressing climate information needs at the regional level: the CORDEX framework. Bull World Meteorol Organ 58:175–183
24. Gleckler P, Taylor K, Doutriaux C (2008) Performance metrics for climate models. J Geophys Res Atmos 113:D06104
25. Gómez-Navarro JJ, Montávez JP, Jerez S, Jiménez-Guerrero P, Zorita E (2012) What is the role of the observational dataset in the evaluation and scoring of climate models? Geophys Res Lett 39(24):L24701
26. Gutowski WJ, Takle ES, Kozak K, Patton JC, Arritt RW, Christensen JH (2007) A possible constraint on regional precipitation intensity changes under global warming. J Hydrometeorol 8(6):1382–1396. doi:10.1175/2007JHM817.1
27. Haugen J, Haakenstad H (2005) Validation of HIRHAM version 2 with 50 km and 25 km resolution. Gen Tech Rep 9 Norw Meteorol Inst. Oslo
28. Hawkins E, Sutton R (2009) The potential to narrow uncertainty in regional climate predictions. BAMS 90:1095. doi:10.1175/2009BAMS2607.1
29. Haylock MR, Hofstra N, Klein Tank AMG, Klok EJ, Jones PD, New M (2008) A European daily high-resolution gridded data set of surface temperature and precipitation for 1950–2006. J Geophys Res 113:D20119. doi:10.1029/2008JD010201
30. Herrera S, Fita L, Fernández J, Gutiérrez JM (2010) Evaluation of the mean and extreme precipitation regimes from the ENSEMBLES regional climate multimodel simulations over Spain. J Geophys Res 115:D21117. doi:10.1029/2010JD013936
31. Herrera S, Gutiérrez J, Ancell R, Pons M, Frías M, Fernández J (2012) Development and analysis of a 50 year high-resolution daily gridded precipitation dataset over Spain (Spain02). Int J Climatol 32:74–85. doi:10.1002/joc.2256
32. Hewitt CD (2005) The ENSEMBLES project: providing ensemble based predictions of climate changes and their impacts. EGGS Newsl 13:22–25
33. Hofstra N, New M, McSweeney C (2010) The influence of interpolation and station network density on the distribution and extreme trends of climate variables in gridded data. Clim Dyn 35:841–858
34. IPCC (2013) Climate change 2013: the physical science basis. In: Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) Contribution of working group I to the fifth assessment report of the intergovernmental. Panel on Climate Change. Cambridge University Press, Cambridge, 1535 pp
35. Jacob D et al (2001) A comprehensive model inter-comparison study investigating the water budget during the BALTEX-PIDCAP period. Meteorol Atmos Phys 77(1–4):19–43. doi:10.1007/s007030170015
36. Jaeger E, Anders I, Luthi D, Rockel B, Schar C, Seneviratne S (2008) Analysis of ERA40-driven CLM simulations for Europe. Meteorol Z 17(4):349–367. doi:10.1127/0941-2948/2008/0301
37. Jerez S, Montavez JP, Gomez-Navarro JJ, Jimenez PA, Jimenez-Guerrero P, Lorente R, Gonzalez-Rouco JF (2012) The role of the land-surface model for climate change projections over the Iberian Peninsula. J Geophys Res Atmos 117(D1):1984–2012
38. Jerez S, Montavez JP, Gomez-Navarro JJ, Lorente-Plazas R, Garcia-Valero JA, Jimenez-Guerrero P (2013) A multi-physics ensemble of regional climate change projections over the Iberian Peninsula. Clim Dyn 41(7–8):1749–1768
39. King AD, Alexander LV, Donat MG (2013) The efficacy of using gridded data to examine extreme rainfall characteristics: a case study for Australia. Int J Climatol 33(10):2376–2387. doi:10.1002/joc.3588
40. Kjellström E, Boberg F, Castro M, Christensen J, Nikulin G, Sánchez E (2010) Daily and monthly temperature and precipitation statistics as performance indicators for regional climate models. Clim Res 44(2–3):135–150
41. Klein Tank AMG et al (2002) Daily dataset of 20th-century surface air temperature and precipitation series for the European Climate Assessment. Int J Climatol 22:1441–1453
42. Klok EJ, Klein Tank AMG (2009) Updated and extended European dataset of daily climate observations. Int J Climatol 29:1182–1191. doi:10.1002/joc.1779
43. Knutti R (2010) The end of model democracy? Clim Change 102:395–404
44. Liang XZ, Kunkel KE, Meehl GA, Jones RG, Wang JX (2008) Regional climate models downscaling analysis of general circulation models present climate biases propagation into future change projections. Geophys Res Lett 35(8):L08709
45. Mariotti A, Zeng N, Yoon J, Artale V, Navarra A, Alpert P, Li LZX (2008) Mediterranean water cycle changes: transition to drier 21st century conditions in observations and CMIP3 simulations. Environ Res Lett 3:044001. doi:10.1088/1748-9326/3/4/044001
46. Martin-Vide J (2004) Spatial distribution of a daily precipitation concentration index in peninsular Spain. Int J Climatol 24:959–971. doi:10.1002/joc.1030
47. Meehl GA, Stocker TF, Collins WD, Friedlingstein P et al (2007) Global climate projections. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Climate change 2007: the physical science basis. Contribution of working group I to the 4th assessment report of the IPCC. Cambridge University Press, Cambridge, pp 747–846
48. Miranda PMA, Coelho F, Tomé AR, Valente MA, Carvalho A, Pires C, Pires HO, Cabrinha VC, Ramalho C (2002) 20th century Portuguese climate and climate scenarios. In: Santos FD, Forbes K, Moita R (eds) Climate change in Portugal: scenarios, impacts and adaptation measures 2–83 Gradiva
49. Mitchell TD, Jones PD (2005) An improved method of constructing a database of monthly climate observations and associated highresolution grids. Int J Climatol 25:693–712
50. Nakicenovic N, Alcamo J, Davis J, de Vries B, Fenhann J, Gaffin S, Gregory K, Grübler A, Jung TY, Kram T, La Rovere EL, Michaelis L, Mori S, Morita T, Pepper W, Pitcher H, Price L, Riahi K, Roehrl A, Rogner H-H, Sankovski A, Schlesinger M, Shukla P, Smith S, Swart R, van Rooijen S, Victor N, Dadi Z (2000) Special report on emission scenarios. A special report of Working Group III for the Intergovernmental Panel on Climate Change. Cambridge University Press, New York
51. Nikulin G, Kjellström E, Hansson U, Strandberg G, Ullerstig A (2011) Evaluation and future projections of temperature, precipitation and wind extremes over Europe in an ensemble of regional climate simulations. Tellus A 63:41–55. doi:10.1111/j.1600-0870.2010.00466.x
52. Osborn TJ, Hulme M (1997) Development of a relationship between station and grid-box rainday frequencies for climate model evaluation. J Clim 10:1885–1908. doi:10.1175/1520-0442(1997)010<1885:DOARBS>2.0.CO;2
53. Pal J et al (2007) Regional climate modeling for the developing world: the ICTP RegCM3 and RegCNET. Bull Am Meteorol Soc 88:1395–1409. doi:10.1175/BAMS-88-9-1395
54. Palmer TN, Räisänen J (2002) Quantifying the risk of extreme seasonal precipitation in a changing climate. Nature 415:512–514
55. Paredes D, Trigo RM, Garcia-Herrera R, Trigo IF (2006) Understanding precipitation changes in Iberia in early Spring: weather typing and storm-tracking approaches. J Hydrometeorol 7:101–113
56. Perkins SE, Pitman AJ (2009) Do weak AR4 models bias projections of future climate changes over Australia? Clim Change 93:527–558
57. Perkins SE, Pitman AJ, Holbrook NJ, McAneney J (2007) Evaluation of the AR4 climate models’ simulated daily maximum temperature, minimum temperature, and precipitation over Australia using probability density functions. J Clim 20:4356–4376
58. Pierce D, Barnett T, Santer B, Gleckler P (2009) Selecting global climate models for regional climate change studies. Proc Natl Acad Sci USA 106:8441–8446
59. Pincus R, Batstone CP, Hofmann RJP, Taylor KE, Glecker PJ (2008) Evaluating the present-day simulation of clouds, precipitation, and radiation in climate models. J Geophys Res Atmos 113:D14209
60. Räisänen J, Ylhäisi JS (2012) Can model weighting improve probabilistic projections of climate change? Clim Dyn 39:1981–1998
61. Rajczak J, Pall P, Schär C (2013) Projections of extreme precipitation events in regional climate simulations for Europe and the Alpine Region. J Geophys Atmos 118:3610–3626. doi:10.1002/jgrd.50297
62. Reichler T, Kim J (2008) How well do coupled models simulate today’s climate? Bull Am Meteorol Soc 89:303–311
63. Rios-Entenza A, Miguez-Macho G (2013) Moisture recycling and the maximum of precipitation in spring in the Iberian Peninsula. Clim Dyn. doi:10.1007/s00382-013-1971-x
64. Rios-Entenza A, Soares PMM, Trigo RM, Cardoso RM, Miguez-Macho G (2014) Precipitation recycling in the Iberian Peninsula: spatial patterns and temporal variability. doi:10.1002/2013JD021274
65. Samuelsson P, Jones C, Willén U, Ullerstig A, Gollvik S, Hansson U, Kjellström E, Nikulin G, Wyser K (2011) The Rossby Centre Regional Climate Model RCA3: model description and performance. Tellus Ser A 63(1):4–23. doi:10.1111/j.1600-0870.2010.00478
66. Sánchez E, Gallardo C, Gaertner M, Arribas A, Castro M (2004) Future climate extreme events in the Mediterranean simulated by a regional climate model: a first approach. Glob Planet Change 44(1–4):163–180. doi:10.1016/j.gloplacha.2004.06.010
67. Semmler T, Jacob D (2004) Modeling extreme precipitation events—a climate change simulation for Europe. Glob Planet Change 44:119–127
68. Soares PMM, Cardoso RM, Miranda PMA, de Medeiros J, Belo-Pereira M, Espirito-Santo F (2012a) WRF high resolution dynamical downscaling of ERA-interim for Portugal. Clim Dyn 39:2497–2522. doi:10.1007/s00382-012-1315-2
69. Soares PMM, Cardoso RM, Miranda PMA, Viterbo P, Belo-Pereira M (2012b) Assessment of the ENSEMBLES regional climate models in the representation of precipitation variability and extremes over Portugal. J Geophys Res 117:D07114. doi:10.1029/2011JD016768
70. Sun Y, Solomon S, Dai A, Portmann RW (2006) How often does it rain? J Clim 19:916–934
71. Tapiador FJ, Sánchez E, Gaertner MA (2007) Regional changes in precipitation in Europe under an increased greenhouse emissions scenario. Geophys Res Lett 34:1–6. doi:10.1029/2006GL029035
72. Tebaldi C, Knutti R (2007) The use of the multi-model ensemble in probabilistic climate projections. Philos Trans R Soc A Math Phys Eng Sci 365(1857):2053–2075
73. Uppala SM et al (2005) The ERA-40 re-analysis. Q J R Meteorol Soc 131:2961–3012
74. van der Linden P, Mitchell J (eds) (2009) ENSEMBLES: climate change and its impacts: summary of research and results from the ENSEMBLES project. Report, 160 pp, Met Off. Hadley Cent, Exeter, UK
75. van Meijgaard E, van Ulft L, van de Berg W, Bosveld F, van den Hurk B, Lenderink G, Siebesma A (2008) The KNMI regional atmospheric climate model RACMO, version 2.1. Tech. Rep 302 R Neth Meteorol Inst De Bilt, Netherlands
76. von Storch H, Zwiers FW (1999) Statistical analysis in climate research. Cambridge University Press, Cambridge. ISBN 0 521 45071 3, p 494
77. Weedon GP, Gomes S, Viterbo P, Shuttleworth J, Blyth E, Österle H, Adam JC, Bellouin N, Boucher O, Best M (2011) Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. J Hydrometeorol 12:823–848. doi:10.1175/2011JHM1369.1