ClimateSearch

Yong’an, Chongqing

China · 144k people · 317 m elevation · Northern Hemisphere

Every month in detail

Thirty-year averages for each calendar month.

Monthly climate normals. Values shown as an em dash are missing from the source data.
MonthJanFebMarAprMayJunJulAugSepOctNovDec
Average high49°F (9°C)54°F (12°C)63°F (17°C)73°F (23°C)80°F (27°C)85°F (30°C)90°F (32°C)91°F (33°C)82°F (28°C)71°F (22°C)62°F (17°C)51°F (11°C)
Average low37°F (3°C)40°F (5°C)47°F (8°C)55°F (13°C)63°F (17°C)69°F (21°C)74°F (23°C)73°F (23°C)67°F (19°C)58°F (14°C)49°F (9°C)40°F (4°C)
Dew point36°F (2°C)39°F (4°C)46°F (8°C)55°F (13°C)62°F (17°C)69°F (21°C)74°F (23°C)72°F (22°C)65°F (18°C)57°F (14°C)48°F (9°C)39°F (4°C)
Rainfall0.7 in (18 mm)1 in (26 mm)2.2 in (55 mm)4.2 in (108 mm)5.8 in (148 mm)7 in (177 mm)6.6 in (167 mm)5.6 in (143 mm)5.3 in (136 mm)3.7 in (94 mm)2.1 in (53 mm)0.7 in (19 mm)
Rainy days55911119978985
Snowfall2.4 in (6.1 cm)1.1 in (2.9 cm)1 in (2.5 cm)0 in (0.1 cm)0 in (0 cm)0 in (0 cm)0 in (0 cm)0 in (0 cm)0 in (0 cm)0 in (0 cm)0.3 in (0.7 cm)0.9 in (2.4 cm)
Sunshine98 h81 h101 h114 h123 h129 h166 h187 h131 h101 h95 h97 h

Scroll the table sideways for all twelve months.

Projected change, 2031–2050

Model projection, not an observation

How this city’s climate may change, measured against the same models’ own 1995–2014 output. Nothing here affects the match score above.

Change in summer afternoon highs

+2.4°F (+1.4°C)

Models range from +1.3°F (+0.7°C) to +3.8°F (+2.1°C)

Days above 90°F (32°C) a year

35 → 60

About 1.7× as many

Warming by month
  • January: +2.7°F (+1.5°C)
  • February: +2.1°F (+1.2°C)
  • March: +2.1°F (+1.2°C)
  • April: +2.3°F (+1.3°C)
  • May: +1.9°F (+1.1°C)
  • June: +3.1°F (+1.7°C)
  • July: +1.9°F (+1.0°C)
  • August: +2.3°F (+1.3°C)
  • September: +3.3°F (+1.8°C)
  • October: +2.1°F (+1.2°C)
  • November: +2.4°F (+1.3°C)
  • December: +2.9°F (+1.6°C)
Scenario
SSP5-8.5 (high emissions)
Models
4 · CMIP6 HighResMIP, downscaled

This is a high-emissions pathway — the upper end of plausible futures, not a central estimate. Changes are measured by each model against its own past output and then applied to the observed record, which cancels each model’s bias but not the genuine uncertainty about how much warming occurs. Where the models disagree widely, the range above is the honest answer.