Snow sure ski resorts

Skiweather.eu

The ranking of snow-sure ski resorts is determined by various factors including the average snow depth on both lower and upper slopes (in centimeters), the standard deviation of snow depth on upper slopes, the percentage of days with snow depth exceeding 150cm, as well as the minimum and maximum temperatures (in degrees Celsius) recorded during the main ski season (from week 52 to week 10) over the past decade.

rank	resort	base	top	lower	upper	sd*	>150cm	templo	temphi	cluster**	data
1	Pitztaler Gletsche... 2750m	1740	3440	155	268	78	73	-10.0	-4.7	6	snowdata
1	Val Thorens 2300m	1300	3200	154	208	55	65	-10.7	-5.3	3	snowdata
1	Kaunertaler gletsc... 1780m	2150	3108	174	276	112	70	-9.8	-1.3	6	snowdata
1	Tignes 2100m	1550	3456	131	227	79	64	-12.1	-5.3	3	snowdata
1	Sankt Christoph am... 1800m	1270	2811	157	213	89	61	-9.4	-3.5	6	snowdata
1	Obertauern 1665m	1630	2320	146	182	57	50	-7.6	-1.8	5	snowdata
1	Schnalstaler Glets... 3258m	2000	3258	76	274	35	27	-8.4	-3.4		snowdata
1	Val dIsere 1850m	1550	3456	131	204	71	58	-8.9	-3.6	3	snowdata
1	Montgenevre 1850m	1359	2823	142	174	71	32	-8.5	-0.8	2	snowdata
1	Les Arcs 1600m	1207	3250	120	232	91	72	-6.9	0.2	3	snowdata

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In our investigation into snow-reliable ski resorts, we meticulously scored over 1,500 ski resorts based on key metrics: weekly averages of snow depth in the valleys (lower slopes), snow depth at higher altitudes, precipitation in the valleys, minimum temperature, and maximum temperature. These scores were nuanced by considering factors such as variance and outlier occurrences within these dimensions. This rigorous evaluation was conducted on a weekly basis throughout the primary ski season, spanning from week 52 to week 10, over the course of the last decade. More on this research...
Last update: April 11th 2024.

Consistent and prolongued low temperature and large snow accumulation from top to bottom station results in an high(er) score.
*) standard deviation upper slopes. High value mean there is substantial difference in snow depth between years.
**) micro-climate cluster

Micro-climate similarity

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