ClimateSearch

Nanchang, Jiangxi

China · 2.4M people · 33 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)61°F (16°C)73°F (23°C)81°F (27°C)86°F (30°C)93°F (34°C)92°F (34°C)86°F (30°C)76°F (25°C)65°F (18°C)54°F (12°C)
Average low37°F (3°C)41°F (5°C)48°F (9°C)58°F (15°C)67°F (20°C)74°F (23°C)79°F (26°C)78°F (26°C)72°F (22°C)61°F (16°C)50°F (10°C)40°F (5°C)
Dew point35°F (2°C)40°F (4°C)47°F (9°C)58°F (14°C)66°F (19°C)73°F (23°C)76°F (25°C)76°F (24°C)69°F (20°C)58°F (14°C)49°F (9°C)38°F (3°C)
Rainfall2.6 in (67 mm)3.3 in (83 mm)5.9 in (149 mm)7 in (177 mm)7.5 in (191 mm)10.4 in (264 mm)5.9 in (150 mm)4.4 in (112 mm)2.4 in (61 mm)1.8 in (46 mm)3 in (76 mm)1.8 in (45 mm)
Rainy days91015141213875476
Snowfall1.3 in (3.4 cm)0.7 in (1.7 cm)0.1 in (0.3 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)0.6 in (1.6 cm)
Sunshine110 h100 h91 h108 h129 h108 h173 h195 h187 h179 h140 h145 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

+1.8°F (+1.0°C)

Models range from +1.3°F (+0.7°C) to +2.3°F (+1.3°C)

Days above 90°F (32°C) a year

50 → 72

About 1.4× as many

Warming by month
  • January: +3.3°F (+1.8°C)
  • February: +2.5°F (+1.4°C)
  • March: +2.2°F (+1.2°C)
  • April: +2.6°F (+1.5°C)
  • May: +1.9°F (+1.0°C)
  • June: +2.0°F (+1.1°C)
  • July: +1.7°F (+1.0°C)
  • August: +1.5°F (+0.8°C)
  • September: +2.1°F (+1.2°C)
  • October: +2.5°F (+1.4°C)
  • November: +2.8°F (+1.5°C)
  • December: +3.2°F (+1.8°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.