Alzbutas, Robertas

Bartholy, Judith

Casanueva Vicente, Ana

Gutiérrez Llorente, José Manuel

Hertig, Elke

Maraun, Douglas

Mares, Ileana

Pongracz, Rita

Soares, Pedro

Vrac, Mathieu

Wibig, Joanna

English

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Geophysical Research AbstractsVol. 18, EGU2016-7068, 2016EGU General Assembly 2016© Author(s) 2016. CC Attribution 3.0 License.Validation of extremes within the Perfect-Predictor Experiment of theCOST Action VALUEElke Hertig (1), Douglas Maraun (2), Joanna Wibig (3), Mathieu Vrac (4), Pedro Soares (5), Judith Bartholy (6),Rita Pongracz (6), Ileana Mares (7), Jose Manuel Gutierrez (8), Ana Casanueva (9), and Robertas Alzbutas (10)(1) University of Augsburg, Physical Geography, Augsburg, Germany (elke.hertig@geo.uni-augsburg.de), (2) Wegener Centerfor Climate and Global Change, University of Graz, Graz, Austria, (3) Department of Meteorology and Climatology,University of Lodz, Lodz, Poland, (4) Laboratoire des Sciences du Climat et de l’Environnement, France, (5) Instituto DomLuiz, Lisbon, Portugal, (6) Eotvos Lorand University Department of Meteorology, Hungary, (7) Institute of Geodynamics,Romanian Academy, Romania, (8) Institute of Physics of Cantabria, CSIC – University of Cantabria, Santander, Spain, (9)Departamento de Matemática Aplicada y Ciencias de la Computación University of Cantabria, Santander, Spain, (10) KaunasUniversity of Technology, LithuaniaExtreme events are of widespread concern due to their damaging consequences on natural and anthropogenicsystems. From science to applications the statistical attributes of rare and infrequent occurrence and low prob-ability become connected with the socio-economic aspect of strong impact. Specific end-user needs regardinginformation about extreme events depend on the type of application, but as a joining element there is alwaysthe request for easily accessible climate change information with a clear description of their uncertainties andlimitations.Within the Perfect-Predictor Experiment of the COST Action VALUE extreme indices modelled from a wide rangeof downscaling methods are compared to reference indices calculated from observational data. The experimentuses reference data from a selection of 86 weather stations representative of the different climates in Europe.Results are presented for temperature and precipitation extremes and include aspects of the marginal distributionas well as spell-length related aspects.

Validation of extremes within the Perfect-Predictor Experiment of the COST Action VALUE

https://repositorio.unican.es/xmlui/bitstream/10902/18299/3/Validationofextremes.pdf

Validation of extremes within the Perfect-Predictor Experiment of the COST Action VALUE

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