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Saas-Fee vs Luxor

Cfb Oceanic / temperateBWh Hot desert

Comparing Saas-Fee change · Luxor change

Bottom line

Luxor is the warmer of the two — about 20°C on the annual average; Saas-Fee is the wetter, with 585 mm more rain a year, and Luxor the sunnier.

Warmer Luxor 20°C on the year
Wetter Saas-Fee 585 mm more a year
Sunnier Luxor 49 pp less cloud
Colder winters Saas-Fee 12°C colder nights

How the seasons compare

The differences between Saas-Fee and Luxor, in everyday terms.

Summers

Luxor has far hotter summers

Saas-Fee: Mild
Luxor: Extreme heat

Winters

Luxor has far milder winters

Saas-Fee: Cold
Luxor: Cool

Rain & snow

Saas-Fee is much wetter

Saas-Fee: Moderate rainfall
Luxor: Very dry

Sky

Luxor is far sunnier

Saas-Fee: Often cloudy
Luxor: Sunny

Month-by-month charts

Temperature

Luxor is the warmer of the two — about 20°C on the annual average.

-20°20°40° JanAprJulOct Saas-FeeLuxor

Precipitation

Saas-Fee is the wetter — about 585 mm more across the year.

PRECIPITATION (mm) 03570 JanAprJulOct Saas-FeeLuxor

Clear skies

Luxor has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct Saas-FeeLuxor

Exact monthly numbers

Tap a metric to open its full table. Desktop shows all twelve months; on a phone each metric splits into Jan–Jun and Jul–Dec.

Avg high (°C) Luxor runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Saas-Fee125914182020161151
Luxor232530353941414139352924
Difference+22+24+24+26+25+23+21+21+24+25+24+23
Jan – JunJanFebMarAprMayJun
Saas-Fee12591418
Luxor232530353941
Difference+22+24+24+26+25+23
Jul – DecJulAugSepOctNovDec
Saas-Fee2020161151
Luxor414139352924
Difference+21+21+24+25+24+23
Avg low (°C) Luxor runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Saas-Fee-5-6-3048101073-1-4
Luxor791317222526252319138
Difference+12+14+15+17+18+17+16+16+17+16+15+13
Jan – JunJanFebMarAprMayJun
Saas-Fee-5-6-3048
Luxor7913172225
Difference+12+14+15+17+18+17
Jul – DecJulAugSepOctNovDec
Saas-Fee101073-1-4
Luxor26252319138
Difference+16+16+17+16+15+13
Precipitation (mm) Saas-Fee runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Saas-Fee423137476958556243575650
Luxor2022120001130
Difference-40-30-35-45-57-58-55-62-42-56-53-50
Jan – JunJanFebMarAprMayJun
Saas-Fee423137476958
Luxor2022120
Difference-40-30-35-45-57-58
Jul – DecJulAugSepOctNovDec
Saas-Fee556243575650
Luxor001130
Difference-55-62-42-56-53-50
Cloud cover (%) Saas-Fee runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Saas-Fee686968697265595961667171
Luxor242525272410989111522
Difference-44-44-43-43-47-56-50-51-52-55-56-49
Jan – JunJanFebMarAprMayJun
Saas-Fee686968697265
Luxor242525272410
Difference-44-44-43-43-47-56
Jul – DecJulAugSepOctNovDec
Saas-Fee595961667171
Luxor989111522
Difference-50-51-52-55-56-49
Relative humidity (%) Saas-Fee runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Saas-Fee818182818078767779828481
Luxor463727201818202125304047
Difference-35-44-55-61-62-60-56-55-55-52-44-34
Jan – JunJanFebMarAprMayJun
Saas-Fee818182818078
Luxor463727201818
Difference-35-44-55-61-62-60
Jul – DecJulAugSepOctNovDec
Saas-Fee767779828481
Luxor202125304047
Difference-56-55-55-52-44-34

How both climates are changing

Both cities are warming. Each city has its own warming trend; see its trends page for the year-by-year detail. Saas-Fee trends → · Luxor trends →

Methodology & sources

Saas-Fee

Temperature & precipitation — the official 1991–2020 climate normals from a national meteorological service, measured at Grächen, about 12 km from the city centre.

Cloud, humidity, wind & sunshine — modelled estimates from NASA POWER, NASA's satellite-and-reanalysis climatology. This is the standard global source for atmospheric variables, which are not measured at most weather stations.

Luxor

Temperature & precipitation — 1991–2020 normals computed from 30 years of daily observations at Luxor Intl, a weather station, about 7 km from the city centre. The underlying daily records come from NOAA's global station network.

Cloud, humidity, wind & sunshine — modelled estimates from NASA POWER, NASA's satellite-and-reanalysis climatology. This is the standard global source for atmospheric variables, which are not measured at most weather stations.

How we build these numbers →