Boberg, Fredrik

Bosshard, Thomas

Cardoso, Rita M.

Gutiérrez Llorente, José Manuel

Herrera García, Sixto

Kotlarski, Sven

Maraun, Douglas

Mezghani, Abdelkader

Pagé, Christian

Räty, Olle

Soares, Pedro M. M.

Stepanek, Petr

Szabo, Peter

English

UCrea

Geophysical Research AbstractsVol. 18, EGU2016-6336, 2016EGU General Assembly 2016© Author(s) 2016. CC Attribution 3.0 License.The role of observational reference data for climate downscaling: Insightsfrom the VALUE COST ActionSven Kotlarski (1), José M. Gutiérrez (2), Fredrik Boberg (3), Thomas Bosshard (4), Rita M. Cardoso (5), SixtoHerrera (2), Douglas Maraun (6), Abdelkader Mezghani (7), Christian Pagé (8), Olle Räty (9), Petr Stepanek (10),Pedro M. M. Soares (5), and Peter Szabo (11)(1) Federal Office of Meteorology and Climatology MeteoSwiss, Switzerland (sven.kotlarski@meteoswiss.ch), (2) Universityof Cantabria, Spain, (3) Danish Meteorological Institute, Denmark, (4) Swedish Meteorological and Hydrological Institute,Sweden, (5) Instituto Dom Luiz, Portugal, (6) Wegener Center for Climate and Global Change, Austria, (7) NorwegianMeteorological Institute, Norway, (8) Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, France,(9) University of Helsinki, Finland, (10) CZECHGLOBE Global Change Research Institute CAS, Czech Republic, (11)Hungarian Meteorological Service, HungaryVALUE is an open European network to validate and compare downscaling methods for climate change re-search (http://www.value-cost.eu). A key deliverable of VALUE is the development of a systematic validationframework to enable the assessment and comparison of downscaling methods. Such assessments can be expectedto crucially depend on the existence of accurate and reliable observational reference data. In dynamical down-scaling, observational data can influence model development itself and, later on, model evaluation, parametercalibration and added value assessment. In empirical-statistical downscaling, observations serve as predictanddata and directly influence model calibration with corresponding effects on downscaled climate change projections.We here present a comprehensive assessment of the influence of uncertainties in observational referencedata and of scale-related issues on several of the above-mentioned aspects. First, temperature and precipitationcharacteristics as simulated by a set of reanalysis-driven EURO-CORDEX RCM experiments are validatedagainst three different gridded reference data products, namely (1) the EOBS dataset (2) the recently developedEURO4M-MESAN regional re-analysis, and (3) several national high-resolution and quality-controlled griddeddatasets that recently became available. The analysis reveals a considerable influence of the choice of the referencedata on the evaluation results, especially for precipitation. It is also illustrated how differences between thereference data sets influence the ranking of RCMs according to a comprehensive set of performance measures.

The role of observational reference data for climate downscaling: Insights 
from the VALUE COST Action

https://repositorio.unican.es/xmlui/bitstream/10902/15718/1/TheRoleOf_nv_articulo_5381.pdf

The role of observational reference data for climate downscaling: Insights 

from the VALUE COST Action

The role of observational reference data for climate downscaling: Insights from the VALUE COST Action

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