ClimateSearch

Lianyungang, Jiangsu

China · 2.0M people · 5 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 high42°F (6°C)47°F (8°C)56°F (13°C)68°F (20°C)77°F (25°C)84°F (29°C)87°F (30°C)85°F (29°C)78°F (26°C)70°F (21°C)58°F (14°C)46°F (8°C)
Average low27°F (-3°C)30°F (-1°C)37°F (3°C)48°F (9°C)59°F (15°C)67°F (20°C)75°F (24°C)74°F (24°C)66°F (19°C)55°F (13°C)42°F (6°C)31°F (0°C)
Dew point23°F (-5°C)27°F (-3°C)34°F (1°C)45°F (7°C)55°F (13°C)65°F (18°C)74°F (23°C)74°F (23°C)64°F (18°C)51°F (11°C)39°F (4°C)27°F (-3°C)
Rainfall0.9 in (22 mm)1 in (25 mm)1.5 in (38 mm)1.9 in (48 mm)2.8 in (72 mm)4.5 in (115 mm)9.4 in (239 mm)7.4 in (188 mm)3.4 in (86 mm)1.6 in (40 mm)1.5 in (39 mm)0.8 in (20 mm)
Rainy days44667816158553
Snowfall1.3 in (3.2 cm)1.1 in (2.9 cm)0.4 in (0.9 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 (0.4 cm)0.4 in (1 cm)
Sunshine236 h223 h276 h282 h305 h302 h279 h278 h262 h256 h221 h227 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

+2.5°F (+1.4°C)

Models range from +2.3°F (+1.3°C) to +2.8°F (+1.6°C)

Days above 90°F (32°C) a year

20 39

About 2.0× as many

Warming by month
  • January: +2.9°F (+1.6°C)
  • February: +2.5°F (+1.4°C)
  • March: +2.1°F (+1.2°C)
  • April: +2.6°F (+1.5°C)
  • May: +2.4°F (+1.3°C)
  • June: +2.2°F (+1.2°C)
  • July: +2.4°F (+1.3°C)
  • August: +2.8°F (+1.6°C)
  • September: +2.7°F (+1.5°C)
  • October: +2.2°F (+1.2°C)
  • November: +2.5°F (+1.4°C)
  • December: +3.1°F (+1.7°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.