ClimateSearch

Guixi, Chongqing

China · 189k people · 415 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)53°F (12°C)63°F (17°C)72°F (22°C)79°F (26°C)84°F (29°C)90°F (32°C)90°F (32°C)81°F (27°C)70°F (21°C)61°F (16°C)51°F (11°C)
Average low39°F (4°C)43°F (6°C)49°F (10°C)58°F (14°C)64°F (18°C)70°F (21°C)74°F (24°C)74°F (23°C)68°F (20°C)59°F (15°C)51°F (11°C)42°F (6°C)
Dew point38°F (3°C)41°F (5°C)48°F (9°C)56°F (14°C)63°F (17°C)70°F (21°C)74°F (23°C)72°F (22°C)66°F (19°C)58°F (15°C)50°F (10°C)41°F (5°C)
Rainfall0.6 in (15 mm)0.8 in (21 mm)1.9 in (50 mm)4.1 in (105 mm)6.1 in (155 mm)7.3 in (185 mm)6.4 in (164 mm)5.2 in (131 mm)5.8 in (147 mm)4.1 in (103 mm)2 in (51 mm)0.8 in (20 mm)
Rainy days451011121110991195
Snowfall0.4 in (0.9 cm)0.2 in (0.6 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 in (0 cm)0 in (0 cm)0.2 in (0.4 cm)
Sunshine54 h50 h74 h94 h106 h107 h161 h168 h110 h64 h61 h56 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

+2.1°F (+1.2°C)

Models range from +1.4°F (+0.8°C) to +2.6°F (+1.4°C)

Days above 90°F (32°C) a year

30 → 58

About 1.9× as many

Warming by month
  • January: +3.0°F (+1.7°C)
  • February: +1.9°F (+1.0°C)
  • March: +1.7°F (+1.0°C)
  • April: +2.3°F (+1.3°C)
  • May: +1.9°F (+1.1°C)
  • June: +2.5°F (+1.4°C)
  • July: +1.6°F (+0.9°C)
  • August: +2.1°F (+1.2°C)
  • September: +3.3°F (+1.9°C)
  • October: +2.4°F (+1.3°C)
  • November: +2.4°F (+1.4°C)
  • December: +3.1°F (+1.7°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.