ClimateSearch

Baisha, Chongqing

China · 116k people · 225 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 high50°F (10°C)55°F (13°C)64°F (18°C)74°F (23°C)81°F (27°C)84°F (29°C)91°F (33°C)92°F (33°C)82°F (28°C)71°F (22°C)63°F (17°C)53°F (11°C)
Average low43°F (6°C)46°F (8°C)53°F (12°C)61°F (16°C)66°F (19°C)71°F (22°C)76°F (25°C)76°F (24°C)70°F (21°C)62°F (17°C)54°F (12°C)46°F (8°C)
Dew point40°F (5°C)44°F (7°C)50°F (10°C)58°F (15°C)64°F (18°C)71°F (22°C)75°F (24°C)73°F (23°C)67°F (20°C)60°F (16°C)52°F (11°C)43°F (6°C)
Rainfall0.7 in (19 mm)0.8 in (20 mm)1.5 in (37 mm)2.9 in (74 mm)5.3 in (134 mm)7.2 in (183 mm)6.6 in (167 mm)5.5 in (140 mm)5 in (127 mm)3.4 in (87 mm)1.7 in (43 mm)0.8 in (21 mm)
Rainy days5581012121010101296
Snowfall0.3 in (0.7 cm)0 in (0.1 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 (0.5 cm)
Sunshine52 h55 h78 h98 h113 h107 h155 h162 h110 h59 h60 h52 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

+2.0°F (+1.1°C)

Models range from +1.3°F (+0.7°C) to +2.4°F (+1.4°C)

Days above 90°F (32°C) a year

44 → 68

About 1.6× as many

Warming by month
  • January: +2.8°F (+1.6°C)
  • February: +1.9°F (+1.1°C)
  • March: +1.5°F (+0.9°C)
  • April: +2.5°F (+1.4°C)
  • May: +1.8°F (+1.0°C)
  • June: +2.3°F (+1.3°C)
  • July: +1.5°F (+0.8°C)
  • August: +2.1°F (+1.2°C)
  • September: +3.3°F (+1.8°C)
  • October: +2.4°F (+1.3°C)
  • November: +2.3°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.