ClimateSearch

Ganzhou, Jiangxi

China · 2.0M people · 114 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 high54°F (12°C)59°F (15°C)65°F (18°C)76°F (25°C)84°F (29°C)88°F (31°C)94°F (34°C)93°F (34°C)87°F (31°C)79°F (26°C)69°F (21°C)59°F (15°C)
Average low41°F (5°C)45°F (7°C)52°F (11°C)62°F (16°C)69°F (21°C)74°F (24°C)78°F (26°C)77°F (25°C)72°F (22°C)63°F (17°C)53°F (12°C)43°F (6°C)
Dew point40°F (4°C)45°F (7°C)52°F (11°C)62°F (16°C)69°F (20°C)74°F (23°C)75°F (24°C)75°F (24°C)70°F (21°C)60°F (15°C)51°F (11°C)41°F (5°C)
Rainfall2.5 in (62 mm)3.5 in (88 mm)6.1 in (155 mm)6 in (153 mm)7.4 in (188 mm)8.3 in (210 mm)4.2 in (106 mm)6 in (152 mm)2.9 in (73 mm)2 in (50 mm)2.5 in (63 mm)2 in (51 mm)
Rainy days810151213127106466
Snowfall0.3 in (0.7 cm)0.2 in (0.4 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 cm)0.2 in (0.6 cm)
Sunshine114 h88 h77 h100 h120 h113 h187 h189 h176 h180 h145 h147 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

+1.7°F (+0.9°C)

Models range from +0.7°F (+0.4°C) to +2.1°F (+1.2°C)

Days above 90°F (32°C) a year

57 → 81

About 1.4× as many

Warming by month
  • January: +3.2°F (+1.8°C)
  • February: +2.2°F (+1.2°C)
  • March: +1.9°F (+1.1°C)
  • April: +2.8°F (+1.6°C)
  • May: +2.3°F (+1.3°C)
  • June: +2.0°F (+1.1°C)
  • July: +1.6°F (+0.9°C)
  • August: +1.4°F (+0.8°C)
  • September: +1.7°F (+1.0°C)
  • October: +2.1°F (+1.2°C)
  • November: +2.7°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.