ClimateSearch

Neijiang, Sichuan

China · 1.3M people · 336 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)56°F (13°C)64°F (18°C)74°F (24°C)81°F (27°C)84°F (29°C)89°F (32°C)89°F (32°C)80°F (27°C)70°F (21°C)62°F (17°C)52°F (11°C)
Average low41°F (5°C)45°F (7°C)51°F (11°C)59°F (15°C)66°F (19°C)71°F (22°C)75°F (24°C)74°F (24°C)68°F (20°C)61°F (16°C)53°F (12°C)44°F (7°C)
Dew point38°F (3°C)42°F (5°C)47°F (9°C)55°F (13°C)61°F (16°C)69°F (20°C)74°F (23°C)73°F (23°C)66°F (19°C)58°F (15°C)49°F (10°C)40°F (5°C)
Rainfall0.6 in (16 mm)0.7 in (18 mm)1 in (26 mm)2.2 in (55 mm)3.7 in (94 mm)8 in (204 mm)8.3 in (211 mm)6.9 in (177 mm)5.4 in (138 mm)3.1 in (78 mm)1.2 in (30 mm)0.6 in (15 mm)
Rainy days45689111312111164
Snowfall0.1 in (0.3 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 in (0.1 cm)
Sunshine74 h73 h92 h109 h121 h115 h144 h146 h98 h59 h68 h64 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 +1.1°F (+0.6°C) to +2.5°F (+1.4°C)

Days above 90°F (32°C) a year

29 → 57

About 1.9× as many

Warming by month
  • January: +2.8°F (+1.5°C)
  • February: +1.8°F (+1.0°C)
  • March: +1.5°F (+0.8°C)
  • April: +2.1°F (+1.2°C)
  • May: +1.7°F (+1.0°C)
  • June: +2.4°F (+1.3°C)
  • July: +1.5°F (+0.8°C)
  • August: +2.1°F (+1.2°C)
  • September: +3.0°F (+1.7°C)
  • October: +2.1°F (+1.2°C)
  • November: +2.2°F (+1.2°C)
  • December: +2.8°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.