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Shanghai vs Sintra

Cfa Humid subtropicalCsa Hot-summer Mediterranean

Comparing Shanghai change · Sintra change

Bottom line

Shanghai and Sintra have nearly identical year-round temperatures; Shanghai is the wetter, with 550 mm more rain a year, and Sintra the sunnier.

Year-round temp About the same within 1°C on the year
Wetter Shanghai 550 mm more a year
Sunnier Sintra 11 pp less cloud
Colder winters Shanghai 6°C colder nights

How the seasons compare

The differences between Shanghai and Sintra, in everyday terms.

Summers

Shanghai has hotter summers

Shanghai: Hot
Sintra: Warm

Winters

Sintra has much milder winters

Shanghai: Chilly
Sintra: Cool

Rain & snow

Shanghai is wetter

Shanghai: Wet
Sintra: Moderate rainfall

Sky

Sintra is sunnier

Shanghai: Often cloudy
Sintra: Partly cloudy

Month-by-month charts

Temperature

Shanghai and Sintra run remarkably close all year.

-10°10°20°30°40° JanAprJulOct ShanghaiSintra

Precipitation

Shanghai is the wetter — about 550 mm more across the year.

PRECIPITATION (mm) 0110220 JanAprJulOct ShanghaiSintra

Clear skies

Sintra has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct ShanghaiSintra

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) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Shanghai81014202528323228231811
Sintra141618202326282927221815
Difference+6+6+4-2-2-4-3-1+4
Jan – JunJanFebMarAprMayJun
Shanghai81014202528
Sintra141618202326
Difference+6+6+4-2-2
Jul – DecJulAugSepOctNovDec
Shanghai323228231811
Sintra282927221815
Difference-4-3-1+4
Avg low (°C) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Shanghai24712172226262217114
Sintra891012141618181715119
Difference+6+5+4-3-5-8-7-5-2+1+5
Jan – JunJanFebMarAprMayJun
Shanghai247121722
Sintra8910121416
Difference+6+5+4-3-5
Jul – DecJulAugSepOctNovDec
Shanghai26262217114
Sintra18181715119
Difference-8-7-5-2+1+5
Precipitation (mm) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Shanghai736493738421315121788635745
Sintra86636456541045309311197
Difference+12-1-29-17-30-203-147-212-58+29+53+52
Jan – JunJanFebMarAprMayJun
Shanghai7364937384213
Sintra866364565410
Difference+12-1-29-17-30-203
Jul – DecJulAugSepOctNovDec
Shanghai15121788635745
Sintra45309311197
Difference-147-212-58+29+53+52
Cloud cover (%) Shanghai runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Shanghai626567667079696263585754
Sintra605858585348434148576062
Difference-2-7-9-8-17-31-26-21-15-1+3+8
Jan – JunJanFebMarAprMayJun
Shanghai626567667079
Sintra605858585348
Difference-2-7-9-8-17-31
Jul – DecJulAugSepOctNovDec
Shanghai696263585754
Sintra434148576062
Difference-26-21-15-1+3+8
Relative humidity (%) Sintra runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Shanghai777878777681828178757676
Sintra838179787777787879818284
Difference+6+3+1+1+1-4-5-3+1+5+6+9
Jan – JunJanFebMarAprMayJun
Shanghai777878777681
Sintra838179787777
Difference+6+3+1+1+1-4
Jul – DecJulAugSepOctNovDec
Shanghai828178757676
Sintra787879818284
Difference-5-3+1+5+6+9

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. Shanghai trends → · Sintra trends →

Methodology & sources

Shanghai

Temperature & precipitation — 1991–2020 normals computed from 24 years of daily observations at Shanghai, a weather station, about 20 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.

Sintra

Temperature & precipitation — 1991–2020 normals computed from 30 years of daily observations at Lisboa/gago Coutinho, a weather station, about 22 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 →