Transportation and tourism sectors are dependent on inter-annual climate variability. In winter, driving safety is strongly weather dependent due to slippery road surface conditions. Timely installation of winter tires is essential when temperature falls to near 0°C and roads might be covered by ice and snow. However, the time of winter tire installation and thus their distribution to the customers varies from year to year depending on weather conditions. The tailored sub-seasonal and seasonal forecast products for winter tire season and safety driving conditions will allow tire companies to plan the distribution of right tire types and the seasonal management, to increase their economic benefit and improve transportation safety.
As climate is key resource also for tourism, climate change is slowly entering into decision-making in a range of tourism stakeholders. Climate change may create economic opportunities as well, for instance, in the Mediterranean region the touristic season is foreseen to lengthen, increasing the flows of the tourists. Tourism stakeholders need information on future seasonal climatic conditions during different seasons that make possible for them to adapt to the forthcoming changes in the length and quality of climate-dependent tourism seasons. The newly created seasonal and short-term forecast tourist indicators for the selected UNESCO World Heritage Sites in Greece foster the competitive relationships between destinations precisely determining the tourism demand and thus the profitability of tourism enterprises.
Finnish Meteorological Institute, Academy of Athens
Vianor Oy, INSETE (Institute of the Greek Tourism Confederation)
ECMWF extended range forecast data (ENS) from ECMWF dissemination, ECMWF SEAS5 data, NCEP CFSv2 data and ERA5 reanalysis from C3S Climate Data Store
The two pilots aim to increase preparedness and resilience of transportation and tourism sectors to inter-annual climate variability through user-oriented climate services that provide tailored forecast products for various timescales (short-range, sub-seasonal and seasonal scale). The pilot will generate:
The e-shape project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 820852