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Modelling the impact of future Climate Change on operating conditions of ski resorts in the French Alps

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Modelling the impact of future Climate Change on operating conditions of ski resorts in the French Alps

Pierre Spandre 1,2 , Hugues Fran¸cois 1 , D´ eborah Verfaillie 2 , Samuel Morin 2 , Emmanuelle George 1 , Matthieu Lafaysse 2

1

Universit´ e Grenoble Alpes, Irstea, LESSEM

2

M´ et´ eo-France - CNRS, CNRM, Centre d’Etudes de la Neige, UMR3589

26 th of June 2018

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Modelling the Impact of Future Climate Change

on Operating Conditions of Ski Resorts in the French Alps

1 CrossCut method

Crossing spatial representations of ski resorts and Numerical simulations of snowpack conditions Using a detailed approach of snow management Under past and future climate conditions

2 Results

Crossing simulated snow conditions and spatial representations Computation of integrated indicators

Spandre et al. (Irstea - CEN/CNRM) CCTR 2018 26thof June 2018 2 / 19

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CrossCut method

Spatial representation of ski resorts

A ski-lifts based approach of gravitational areas dedicated to skiing 1

1Fran¸cois et al. (2014), “Crossing numerical simulations of snow conditions with a spatially-resolved socio-economic database of ski resorts: A proof of concept in the French Alps” inCold Regions Science and Technology

Spandre et al. (Irstea - CEN/CNRM) CCTR 2018 26thof June 2018 3 / 19

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Spatial representation of ski resorts

Slope Aspect Slope Angle

Elevations Snowmaking equipment

Spandre et al. (Irstea - CEN/CNRM) CCTR 2018 26thof June 2018 4 / 19

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CrossCut method

Numerical simulations of snowpack conditions

Crocus - Natural Snow 2

2Vionnet et al. (2012), “The detailed snowpack scheme Crocus and its implementation in SURFEX v7.2” inGeosci. Model. Dev.

Spandre et al. (Irstea - CEN/CNRM) CCTR 2018 26thof June 2018 5 / 19

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Numerical simulations of snowpack conditions using a detailed approach of snow management

Crocus-Resort - Introduction of grooming and snowmaking 3

3Spandre et al. (2016), “Integration of snow management in a detailed snowpack model” inCold Regions Science and Technology

Spandre et al. (Irstea - CEN/CNRM) CCTR 2018 26thof June 2018 6 / 19

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CrossCut method

Numerical simulations of snowpack conditions using a detailed approach of snow management

Crocus-Resort - Snowmaking approach 4 Evolution of snowmaking facilities

From 0% (1985) to 30% (2015) and projected 45% (2025) 5

“Base layer” production (Nov. 1 to Dec. 15) and

“Improvement” snowmaking (Dec. 16 to Feb. 28)

40% water volume lost for production 6

4Spandre et al. (2016), “Panel based assessment of snow management operations in French ski resorts” inJournal of Outdoor Recreation and Tourism 5Spandre et al. (2015), “Snowmaking in the French Alps. Climatic context, existing facilities and outlook” inRevue de Geographie Alpine-Journal of Alpine Research

6Spandre et al. (2016), “Seasonal evolution of a ski slope under natural and artificial snow: detailed observations and modelisation” inThe Cryosphere

Spandre et al. (Irstea - CEN/CNRM) CCTR 2018 26thof June 2018 7 / 19

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Past and future climate forcing data

Reference meteorological data (1958 - 2016) SAFRAN system 7

Combines observations and modelling Available over all French mountain ranges

Climate data (1950 - 2100)

EUROCORDEX dataset (13 pairs RCM/GCM) Scenarios RCP 2.6, RCP 4.5 and RCP 8.5 Adjusted using the ADAMONT method 8

7Durand et al. (1993), “A meteorological estimation of relevant parameters for snow models” inAnn. Glaciol.

8Verfaillie et al. (2017), “The method ADAMONT v1.0 for statistical adjustment of climate projections applicable to energy balance land surface models” inGeosci. Model Dev.

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Results

Impact of future Climate Change on

operating conditions of ski resorts in the French Alps

Spandre et al. (Irstea - CEN/CNRM) CCTR 2018 26thof June 2018 9 / 19

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and Sno wmaking RCP 2.6

Including Gro oming

Naturalsnow

RCP 4.5 RCP 8.5

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Results

Impact of future Climate Change on operating conditions of ski resorts in the French Alps

Computation 9 of the following indicators 10

Snow Reliability Index of snow conditions 11

Frequency of challenging snow seasons below Q20 12 Water volumes for snowmaking

9 Meanµand deviationσ0

of 15 years running averages of climate models.σ0

is defined as 1.64 the standard deviation, mimicking 5 and 95%

quantiles

10Spandre et al. (Under Review), “Investigations on economic indicators of French Alps ski industry from an explicit spatial modelling of managed snow on ski slopes” inJournal of Tourism Management

11 Defined as the ratio of a given ski resort surface area with a minimum 100 kg m−2 of snow on the ground, on average for the Christmas and New Year holidays (17%) and February school holidays (83%). Proved significantly correlated to ski lifts tickets sales over 2001 - 2016.

12 Defined as the the sixth worst reliability index over the 30 years period 1986 - 2016 in groomed snow conditions only (no snowmaking)

Spandre et al. (Irstea - CEN/CNRM) CCTR 2018 26thof June 2018 11 / 19

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Impact of future Climate Change on operating conditions of ski resorts in the French Alps Groomed snow conditions

Spandre et al. (Irstea - CEN/CNRM) CCTR 2018 26thof June 2018 12 / 19

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Results

Impact of future Climate Change on operating conditions of ski resorts in the French Alps Groomed snow conditions

Spandre et al. (Irstea - CEN/CNRM) CCTR 2018 26thof June 2018 13 / 19

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Impact of future Climate Change on operating conditions of ski resorts in the French Alps Groomed snow conditions

Spandre et al. (Irstea - CEN/CNRM) CCTR 2018 26thof June 2018 14 / 19

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Results

Impact of future Climate Change on operating conditions of ski resorts in the French Alps Groomed snow conditions

Spandre et al. (Irstea - CEN/CNRM) CCTR 2018 26thof June 2018 15 / 19

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Impact of future Climate Change on operating conditions of ski resorts in the French Alps

Groomed snow conditions

French Alps ski resorts

Snow Reliability Index Frequency

Time Slot (SRI) (SRI

<

Q20)

µ±σ0 µ±σ0

1986 - 2005 SAFRAN 82 20

1986 - 2005 HIST 76

±

3 35

±

11

RCP 2.6 66

±

8 65

±

19

2030 - 2050 RCP 4.5 68

±

6 54

±

16

RCP 8.5 65

±

8 63

±

16

RCP 2.6 68

±

7 56

±

22

2080 - 2100 RCP 4.5 57

±

13 74

±

22

RCP 8.5 35

±

10 99

±

2

Aggregated index over the French Alps ski resorts.

Spandre et al. (Irstea - CEN/CNRM) CCTR 2018 26thof June 2018 16 / 19

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Results

Impact of future Climate Change on operating conditions of ski resorts in the French Alps Groomed snow conditions (left) and including Snowmaking (right)

Spandre et al. (Irstea - CEN/CNRM) CCTR 2018 26thof June 2018 17 / 19

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Impact of future Climate Change on operating conditions of ski resorts in the French Alps

Snow conditions including Snowmaking

French Alps ski resorts

Snow Reliability Index Frequency Water volume

Time Slot (SRI) (SRI<Q20) (Mm3)

µ±σ0 µ±σ0 µ±σ0

1986 - 2005 SAFRAN 83 15 5.2

1986 - 2005 HIST 79±3 28±9 6.5±0.3

RCP 2.6 83±4 20±11 40.8±3.7

2030 - 2050 RCP 4.5 84±3 17±9 40.5±2.7

RCP 8.5 82±4 20±12 41.5±3.2

RCP 2.6 84±4 15±9 41.0±3.2

2080 - 2100 RCP 4.5 78±7 32±23 44.3±4.7

RCP 8.5 63±7 78±17 53.7±3.2

Evolution of snowmaking facilities from 0% (1985) to 45% (2025)

Spandre et al. (Irstea - CEN/CNRM) CCTR 2018 26thof June 2018 18 / 19

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5 th International Conference on Climate, Tourism and Recreation

Work under progress! a Thank your for your attention...

and feedback!

aSpandre et al. (In prep.), “Climate constraints on ski tourism sustainability in the French Alps in the 21stcentury” inxxx

Spandre et al. (Irstea - CEN/CNRM) CCTR 2018 26thof June 2018 19 / 19

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