EGU2020-8926
https://doi.org/10.5194/egusphere-egu2020-8926
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Co-developing climate services with local agents: The INDECIS Snow Tourism Index

Jon Xavier Olano Pozo1,2, Anna Boqué Ciurana1, Alba Font Barnet1, Antonio Russo2, Òscar Saladié Borraz2, Salvador Anton-Clavé2, and Enric Aguilar1
Jon Xavier Olano Pozo et al.
  • 1Centre for Climate Change (C3), Department of Geography, Universitat Rovira i Virgili, Spain (jonxavier.olano@urv.cat)
  • 2Research Group on Territorial Analysis and Tourism Studies (GRATET), Department of Geography, Universitat Rovira i Virgili, Spain (jonxavier.olano@urv.cat)

Meteorological conditions determine the viability and competitiveness of socio-economic activities of any territory for many sectors, like those earmarked as priority areas in the Global Framework for Climate Services (GFCS). Yet, although the tourist sector is not one of those, the INDECIS project does include it.

Climate services, understood as the transmission of processed information from meteorological and climatological data in a way that becomes useful for the end-user in the decision-making process, should be useful to trigger actions that adapt tourism activity to long-term trends and sudden changes of the competitive context, or else mitigate the effects that tourism generates on climatic conditions.

In the framework of INDECIS project, researchers have been carried out different workshops for co-designing climate services in five European tourism destinations. The destination cases have the purpose of responding to the design of climate services taking into account the participation of different stakeholders in vulnerable destinations to Climate Change.  As the main output, it has been developed different sectoral tourism indexes, which allow defining the optimum conditions to carry out tourism activities (snow tourism, sun & beach tourism, cultural tourism and outdoor tourism).

The present research shows the preliminary results of the INDECIS Snow tourism Index (ISTI) through the case study of Jacetania’s County (Aragon Pyrenees).  The ISTI has been co-created with the participation of local stakeholders, the Destination Management Organization (DMO), companies and end-users. Meanwhile, the economic value has been tested with tourism data from the destination, specifically offer and supply regarding the snow tourism activities. 

In this sense, the STI is made of three-dimensional perspectives: definition of meteorological conditions that condicionate the snow tourism (1), inclusion of other local variables, such as accessibility, infrastructures and characteristics of the ski stations (2), and consideration of the dynamics and seasonality of the destination (3). The first facet is essential for all users while the second facet is giving value specifically to skiers and the third facet is very useable as a planning tool for DMOs.

The results allow validating the used methodology for the co-creation of climate services in the tourism sector. Concretely, the STI is a sectorial meteorological index for snow tourism in the Pyrenees’ Region. This index, that complements the Tourism Climate Index (TCI) and Holiday Climate Index (HCI), is based on the qualitative data received from the local agents and quantitatively transformed into a three-dimensional index for different users.

Acknowledgments: INDECIS is part of ERA4CS, an ERA-NET initiated by JPI Climate, and funded by FORMAS (SE), DLR (DE), BMWFW (AT), IFD (DK), MINECO (ES), ANR (FR) with co-funding by the European Union Grant 690462).

How to cite: Olano Pozo, J. X., Boqué Ciurana, A., Font Barnet, A., Russo, A., Saladié Borraz, Ò., Anton-Clavé, S., and Aguilar, E.: Co-developing climate services with local agents: The INDECIS Snow Tourism Index , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8926, https://doi.org/10.5194/egusphere-egu2020-8926, 2020

Comments on the presentation

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Presentation version 1 – uploaded on 01 May 2020
  • CC1: Comment on EGU2020-8926, Nathalie de Noblet, 05 May 2020

    Thanks for your presentation. You do not talk about time horizons and the validity of climate data at those. Are you targetted 'clients' looking for information in the following 10 years or much later in time? If they are looking at the next 10 years, which scenarios of climate simulations are you using?

    • AC1: Reply to CC1, Jon Xavier Olano Pozo, 05 May 2020

      Thanks for the comment.
      The 10-year time horizon was raised in the last step of the focus groups of the workshops. Stakeholders and DMO's were interested in knowing how the conditions in this time horizon would change to adapt their organizations. However, in our work plan, this is also the last step because the participants in workshops were interested more in short time predictions for planning and management. In this sense, our idea is to know if the index works for immediate planning and then make seasonal predictions and for more extended time horizons.

      However, stakeholders and DMO's who participated in the workshops assume that in a few years there will be less snow and less snow tourism season.