ClimateSearch

Licheng, Guangdong

China · 173k people · 27 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 high64°F (18°C)66°F (19°C)71°F (22°C)78°F (26°C)85°F (29°C)88°F (31°C)91°F (33°C)91°F (33°C)89°F (31°C)84°F (29°C)76°F (25°C)68°F (20°C)
Average low49°F (10°C)52°F (11°C)58°F (15°C)66°F (19°C)73°F (23°C)76°F (25°C)77°F (25°C)77°F (25°C)74°F (24°C)69°F (20°C)61°F (16°C)52°F (11°C)
Dew point46°F (8°C)51°F (11°C)59°F (15°C)66°F (19°C)72°F (22°C)76°F (25°C)77°F (25°C)77°F (25°C)73°F (23°C)64°F (18°C)56°F (13°C)46°F (8°C)
Rainfall1.5 in (38 mm)2.5 in (63 mm)4.1 in (104 mm)6.4 in (163 mm)8.2 in (208 mm)12.4 in (315 mm)8.4 in (213 mm)9.4 in (238 mm)5.1 in (130 mm)1.6 in (41 mm)1.7 in (43 mm)1.4 in (35 mm)
Rainy days581011141714159344
Snowfall0 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 in (0 cm)0 in (0 cm)0 in (0 cm)
Sunshine147 h96 h85 h94 h108 h104 h159 h155 h180 h213 h181 h171 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

+1.3°F (+0.7°C)

Models range from +1.1°F (+0.6°C) to +1.8°F (+1.0°C)

Days above 90°F (32°C) a year

26 → 49

About 1.9× as many

Warming by month
  • January: +2.6°F (+1.5°C)
  • February: +2.2°F (+1.2°C)
  • March: +2.0°F (+1.1°C)
  • April: +2.4°F (+1.3°C)
  • May: +2.1°F (+1.2°C)
  • June: +1.6°F (+0.9°C)
  • July: +1.4°F (+0.8°C)
  • August: +1.0°F (+0.6°C)
  • September: +1.4°F (+0.8°C)
  • October: +1.8°F (+1.0°C)
  • November: +2.2°F (+1.2°C)
  • December: +2.3°F (+1.3°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.