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Submitted by Douglas Maraun on Tue, 2012-04-24 14:38

Special Issue in the International Journal of Climatology

O Rössler, AM Fischer, H Huebener, D Maraun, RE Benestad, P Christodoulides, PMM Soares, RM Cardoso, C Pagé, H Kanamaru, F Kreienkamp, D Vlachogiannis, Challenges to link climate change data provision and user needs–perspective from the COST‐action VALUE, Int. J. Climatol., 2017.

D Maraun, R Huth, JM Gutiérrez, D San Martín, M Dubrovsky, A Fischer, E Hertig, PMM Soares, J Bartholy, R Pongrácz, M Widmann, MJ Casado, P Ramos, J Bedia,
The VALUE perfect predictor experiment: evaluation of temporal variability, Int. J. Climatol., 2017.

(more papers in preparation/under review)


List of publications by VALUE authors since 2012 and other relevant papers

Book

  








D. Maraun and M. Widmann, Statistical Downscaling and Bias Correction for Climate Research, Cambridge University Press, 2017.

Observational Datasets

  • Herrera, S., Gutiérrez, J.M., Ancell, R.,  Pons, M.R. and J. Fernández, 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.

Perfect Prog. Approach (Classical Empirical Statistical Downscaling):

  • Brands, S., J. M. Gutiérrez, S. Herrera, A. S. Cofiño, 2012: On the Use of Reanalysis Data for Downscaling. J. Climate, 25, 2517–2526. doi: http://dx.doi.org/10.1175/JCLI-D-11-00251.1 [PDF]
  • J. M. Gutiérrez,D. San-Martín, S. Brands, R. Manzanas, and S. Herrera (2012) Reassessing statistical downscaling techniques for their robust application under climate change conditions. J. Climate, doi: http://dx.doi.org/10.1175/JCLI-D-11-00687 [PDF]
  • Kallache, M., M. Vrac, P. Naveau, and P.-A. Michelangeli (2011). Nonstationary probabilistic downscaling of extreme precipitation. Journal of Geophysical Research (Atmospheres), 116:D05113. Doi: 10.1029/2010JD014892.
  • Neykov, N.M.,  Neytchev, P.N. and Zucchini, W. (2014). Stochastic daily precipitation model with a heavy-tailed component. Nat. Hazards Earth Syst. Sci., 14, 2321-2335, http://www.nat-hazards-earth-syst-sci.net/14/2321/2014/.
  • Pagé, C., L. Terray et J. Boé, 2009: dsclim: A software package to downscale climate scenarios at regional scale using a weather-typing based statistical methodology. Technical Report TR/CMGC/09/21, SUC au CERFACS, URA CERFACS/CNRS No1875, Toulouse, France. 
  • R. Tomozeiu, G. Agrillo, C. Cacciamani and  V. Pavan, 2013: Statistically downscaled climate change projections of surface temperature over Northern Italy for the periods 2021–2050 and 2070–2099. Nat Hazards, DOI 10.1007/s11069-013-0552-y.

Model Output Statistics / Bias Correction:

  • D.Maraun, Nonstationarities of regional climate model biases in European seasonal mean temperature and precipitation sums, Geophys. Res. Lett. 39, L06706, 2012. 
  • Räisänen J, Räty O, Projections of daily mean temperature variability in the future: cross-validation tests with ENSEMBLES regional climate simulations. Climate Dynamics, doi: 10.1007/s00382-012-1515-9, 2012.
  • Themeßl, M. J., A. Gobiet, and A. Leuprecht, 2011: Empirical-statistical downscaling and error correction of daily precipitation from regional climate models. Int.J.Climatol., 31, 1530-1544, doi:10.1002/joc.2168
  • Themessl, M. J., A. Gobiet, and G. Heinrich, 2012: Empirical-statistical downscaling and error correction of regional climate models and its impact on the climate change signal. Clim.Change, 112, 449-468, doi:10.1007/s10584-011-0224-4
  • Turco, M., P. Quintana-Seguí, M. C. Llasat, S. Herrera, and J. M. Gutiérrez (2011), Testing MOS precipitation downscaling for ENSEMBLES regional climate models over Spain, J. Geophys. Res., 116, D18109, doi:10.1029/2011JD016166 [PDF]
  • Wilcke, R. A. I., Mendlik T., Gobiet, A. (2013) Multi-variable error correction of regional climate models Clim. Change, 120 (4), pp 871-887,  10.1007/s10584-013-0845-x [open access]

Regional Climate Models:

  • D. Maraun, T.J. Osborn and H.W. Rust, The influence of synoptic airflow on UK daily precipitation extremes. Part II: regional climate model and E-OBS data validation, Clim. Dynam. 39 (1-2), 287-301, 2012.
  • D. Maraun, When will trends in European mean and heavy daily precipitation emerge? Env. Res. Lett. 8, 014004, 2013. 
  • Frías, M.D., R. Minguez, Gutiérrez, J.M., Méndez, F.J. (2012) Future Regional Projections of Extreme Temperatures in Europe: A Nonstationary Seasonal Approach. Climatic Change, 113, 371-392. DOI: 10.1007/s10584-011-0351-y [PDF].
  • Racherla, P. N., D. T. Shindell, and G. S. Faluvegi (2012), The added value to global model projections of climate change by dynamical downscaling: A case study over the continental U.S. using the GISS-ModelE2 and WRF models, J. Geophys. Res., 117, D20118, doi:10.1029/2012JD018091

Global Climate Models:

  • Brands S, Herrera S, San-Martín D, Gutiérrez JM (2011) Validation of the ENSEMBLES global climate ­models over southwestern Europe using probability density functions, from a downscaling perspective. Clim Res 48:145-161 [PDF]
  • Brands, S., Herrera, S., Fernández, J., Gutiérrez, J.M. (2012) How well do CMIP5 Earth System Models simulate present climate conditions in Europe and Africa? A performance comparison for the downscaling community. Climate Dynamics. Accepted [PDF]

Other types of downscaling:

Risk assessment:

  • Brown & Wilby (2012) An Alternative Approach to Assessing Climate Risks, Eos, 93, 41, 401.
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