Evidence map›Paper›PMID 34239989›Full record

ArticleClimate services2021

Pan-European meteorological and snow indicators of climate change impact on ski tourism.

Samuel Morin, Raphaëlle Samacoïts, Hugues François, Carlo M Carmagnola, Bruno Abegg, O Cenk Demiroglu, Marc Pons, Jean-Michel Soubeyroux, Matthieu Lafaysse, Sam Franklin and 8 more

Open access · goldAbstract read
In one paragraph

Article in Climate services, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
9.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 95 citations in OpenAlex.

  1. Importance of temporary and permanent snow for new second homes.International journal of biometeorology · 2024
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 9 institutions in 5 countries.

Samuel MorinUniv.Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, CEN, 38000 Grenoble, France.
Raphaëlle SamacoïtsUniv.Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, CEN, 38000 Grenoble, France.
Hugues FrançoisUniv.Grenoble Alpes, INRAE, LESSEM, Grenoble, France.
Carlo M CarmagnolaUniv.Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, CEN, 38000 Grenoble, France.
Bruno AbeggUniversity of St. Gallen, Institute for Systemic Management and Public Governance, St. Gallen, Switzerland.
O Cenk DemirogluUmeå University, Department of Geography, Umeå, Sweden.
Marc PonsSnow and Mountain Research Center of Andorra/ Sustainability Observatory of Andorra, Sant Julià, Andorra.
Jean-Michel SoubeyrouxMétéo-France, Direction de la Climatologie et des Services Climatiques, Toulouse, France.
Matthieu LafaysseUniv.Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, CEN, 38000 Grenoble, France.
Sam FranklinThe Institute for Environmental Analytics (IEA), University of Reading, Reading, United Kingdom.
Guy GriffithsThe Institute for Environmental Analytics (IEA), University of Reading, Reading, United Kingdom.
Debbie KiteThe Institute for Environmental Analytics (IEA), University of Reading, Reading, United Kingdom.
Anna Amacher HopplerLucerne University of Applied Sciences and Arts, Institute of Tourism, Lucerne, Switzerland.
Emmanuelle GeorgeUniv.Grenoble Alpes, INRAE, LESSEM, Grenoble, France.
Carlo BuontempoEuropean Center for Medium-range Weather Forecasts, Reading, United Kingdom.
Samuel AlmondEuropean Center for Medium-range Weather Forecasts, Reading, United Kingdom.
Ghislain DuboisTEC Conseil - Ramboll, Aix en Provence, France.
Adeline CauchyTEC Conseil - Ramboll, Aix en Provence, France.
Météo-France · FRUniversity of Reading · GBCentre National de la Recherche Scientifique · FREuropean Centre for Medium-Range Weather Forecasts · GBUniversité Grenoble Alpes · FRLucerne University of Applied Sciences and Arts · CHUmeå University · SEUniversity of Andorra · ADUniversity of St. Gallen · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ski tourism plays a major socio-economic role in the snowy and mountainous areas of Europe such as the Alps, the Pyrenees, Nordic Europe, Eastern Europe, Anatolia, etc. Past and future climate change has an impact on the operating conditions of ski resorts, due to their reliance on natural snowfall and favorable conditions for snowmaking. However, there is currently a lack of assessment of past and future operating conditions of ski resorts at the pan-European scale in the context of climate change. The presented work aims at filling this gap, as part of the "European Tourism" Sectoral Information System (SIS) of the Copernicus Climate Change Services (C3S). The Mountain Tourism Meteorological and Snow Indicators (MTMSI) were co-designed with representatives of the ski tourism industry, including consulting companies. They were derived from statistically adjusted EURO-CORDEX climate projections (multiple GCM/RCM pairs for RCP2.6, RCP4.5 and RCP8.5) using the UERRA 5.5 km resolution surface reanalysis as a reference, used as input to the snow cover model Crocus, with and without accounting for snow management (grooming, snowmaking). Results are generated for 100 m elevation bands for NUTS-3 geographical areas spanning all areas relevant to ski tourism in Europe. This article introduces the underpinning elements for the generation of this product, and illustrates results at the pan-European scale as well as for smaller scale case studies. A dedicated visualization app allows for easy navigation into the multiple dimensions of this dataset, thereby fulfilling the needs of a broad range of users.

Indexed as

Climate changeCopernicusEuropeMountain tourismSki tourism

Identifiers

PMID34239989
PMCPMC8246516
OpenAlexW3156054794

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.