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Title: Actor groups, related needs, and challenges at the climate downscaling interface
Authors: Rössler, Ole 
Benestad, Rasmus 
Vlachogannis, Diamando 
Heike, Hübener 
Kanamaru, Hideki 
Pagé, Christian 
Cardoso, Rita Margarida 
Soares, Pedro 
Maraun, Douglas 
Kreienkamp, Frank 
Christodoulides, Paul 
Fischer, Andreas 
Szabo, Peter 
Keywords: Climate data providers;Climate data users;Climate downscaling interfacec
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
Issue Date: Apr-2016
Source: EGU General Assembly, 2016, 17-22 April 2016, Vienna Austria
Conference: EGU General Assembly 
Abstract: At the climate downscaling interface, numerous downscaling techniques and different philosophies compete on being the best method in their specific terms. Thereby, it remains unclear to what extent and for which purpose these downscaling techniques are valid or even the most appropriate choice. A common validation framework that compares all the different available methods was missing so far. The initiative VALUE closes this gap with such a common validation framework. An essential part of a validation framework for downscaling techniques is the definition of appropriate validation measures. The selection of validation measures should consider the needs of the stakeholder: some might need a temporal or spatial average of a certain variable, others might need temporal or spatial distributions of some variables, still others might need extremes for the variables of interest or even inter-variable dependencies. Hence, a close interaction of climate data providers and climate data users is necessary. Thus, the challenge in formulating a common validation framework mirrors also the challenges between the climate data providers and the impact assessment community. This poster elaborates the issues and challenges at the downscaling interface as it is seen within the VALUE community. It suggests three different actor groups: one group consisting of the climate data providers, the other two groups being climate data users (impact modellers and societal users). Hence, the downscaling interface faces classical transdisciplinary challenges. We depict a graphical illustration of actors involved and their interactions. In addition, we identified four different types of issues that need to be considered: i.e. data based, knowledge based, communication based, and structural issues. They all may, individually or jointly, hinder an optimal exchange of data and information between the actor groups at the downscaling interface. Finally, some possible ways to tackle these issues are discussed.
Rights: © Author(s) 2016. CC Attribution 3.0 License.
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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