ClimateSearch

Yingtan, Jiangxi

China · 214k people · 37 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 high52°F (11°C)58°F (14°C)64°F (18°C)75°F (24°C)83°F (28°C)87°F (31°C)94°F (35°C)93°F (34°C)88°F (31°C)79°F (26°C)68°F (20°C)57°F (14°C)
Average low38°F (4°C)43°F (6°C)49°F (10°C)59°F (15°C)67°F (20°C)73°F (23°C)78°F (26°C)77°F (25°C)72°F (22°C)61°F (16°C)51°F (11°C)40°F (5°C)
Dew point37°F (3°C)42°F (5°C)49°F (9°C)58°F (15°C)66°F (19°C)73°F (23°C)75°F (24°C)75°F (24°C)68°F (20°C)58°F (14°C)49°F (10°C)39°F (4°C)
Rainfall3 in (77 mm)3.7 in (95 mm)6.5 in (166 mm)8.8 in (223 mm)8.9 in (225 mm)13 in (329 mm)6.8 in (172 mm)4 in (101 mm)3.1 in (78 mm)1.9 in (49 mm)3.5 in (90 mm)2.2 in (55 mm)
Rainy days101115141313776587
Snowfall1.3 in (3.2 cm)0.6 in (1.4 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)0.7 in (1.9 cm)
Sunshine97 h91 h80 h101 h121 h103 h179 h193 h189 h175 h135 h138 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 +1.0°F (+0.6°C) to +2.3°F (+1.3°C)

Days above 90°F (32°C) a year

63 → 84

About 1.3× as many

Warming by month
  • January: +3.5°F (+1.9°C)
  • February: +2.3°F (+1.3°C)
  • March: +2.2°F (+1.2°C)
  • April: +2.8°F (+1.5°C)
  • May: +1.9°F (+1.1°C)
  • June: +2.0°F (+1.1°C)
  • July: +1.8°F (+1.0°C)
  • August: +1.6°F (+0.9°C)
  • September: +2.0°F (+1.1°C)
  • October: +2.4°F (+1.3°C)
  • November: +2.8°F (+1.6°C)
  • December: +3.4°F (+1.9°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.