ClimateSearch

Yangchun, Guangdong

China · 154k people · 21 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 high67°F (19°C)69°F (20°C)73°F (23°C)80°F (27°C)86°F (30°C)89°F (32°C)90°F (32°C)90°F (32°C)88°F (31°C)85°F (29°C)78°F (25°C)70°F (21°C)
Average low53°F (12°C)56°F (13°C)62°F (17°C)69°F (20°C)74°F (24°C)77°F (25°C)78°F (25°C)77°F (25°C)75°F (24°C)70°F (21°C)63°F (17°C)55°F (13°C)
Dew point50°F (10°C)55°F (13°C)62°F (16°C)69°F (20°C)74°F (23°C)77°F (25°C)77°F (25°C)77°F (25°C)74°F (24°C)67°F (19°C)58°F (15°C)49°F (10°C)
Rainfall1.6 in (42 mm)2 in (50 mm)2.9 in (74 mm)7.4 in (188 mm)12.6 in (321 mm)13.7 in (348 mm)10.2 in (258 mm)14.3 in (363 mm)8.1 in (205 mm)2.6 in (67 mm)1.3 in (33 mm)1.1 in (28 mm)
Rainy days678121720161912434
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)
Sunshine121 h78 h70 h88 h107 h106 h145 h139 h158 h201 h177 h162 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

+1.5°F (+0.8°C)

Models range from +1.1°F (+0.6°C) to +2.0°F (+1.1°C)

Days above 90°F (32°C) a year

17 → 33

About 1.9× as many

Warming by month
  • January: +2.5°F (+1.4°C)
  • February: +2.2°F (+1.2°C)
  • March: +2.0°F (+1.1°C)
  • April: +2.4°F (+1.3°C)
  • May: +2.2°F (+1.2°C)
  • June: +1.9°F (+1.1°C)
  • July: +1.4°F (+0.8°C)
  • August: +1.2°F (+0.7°C)
  • September: +1.4°F (+0.8°C)
  • October: +2.4°F (+1.4°C)
  • November: +2.4°F (+1.3°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.