ClimateSearch

Jieyang, Guangdong

China · 1.9M 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 high66°F (19°C)67°F (20°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 (32°C)84°F (29°C)78°F (26°C)70°F (21°C)
Average low51°F (11°C)53°F (12°C)58°F (14°C)65°F (18°C)72°F (22°C)77°F (25°C)78°F (26°C)78°F (26°C)76°F (24°C)69°F (21°C)62°F (17°C)54°F (12°C)
Dew point48°F (9°C)51°F (11°C)57°F (14°C)64°F (18°C)71°F (22°C)76°F (24°C)77°F (25°C)77°F (25°C)74°F (23°C)66°F (19°C)58°F (15°C)50°F (10°C)
Rainfall1.5 in (38 mm)2.2 in (56 mm)3.6 in (93 mm)5.9 in (150 mm)6.9 in (176 mm)9.8 in (250 mm)7.4 in (188 mm)9.7 in (246 mm)5.2 in (132 mm)2.1 in (53 mm)1.8 in (47 mm)1.3 in (33 mm)
Rainy days57910121613159344
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)
Sunshine163 h106 h103 h105 h104 h102 h160 h145 h173 h198 h171 h167 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

+1.6°F (+0.9°C)

Models range from +1.2°F (+0.7°C) to +1.9°F (+1.1°C)

Days above 90°F (32°C) a year

35 → 64

About 1.8× as many

Warming by month
  • January: +2.6°F (+1.4°C)
  • February: +2.4°F (+1.3°C)
  • March: +2.1°F (+1.2°C)
  • April: +2.5°F (+1.4°C)
  • May: +2.2°F (+1.2°C)
  • June: +2.0°F (+1.1°C)
  • July: +1.6°F (+0.9°C)
  • August: +1.3°F (+0.7°C)
  • September: +1.6°F (+0.9°C)
  • October: +1.9°F (+1.1°C)
  • November: +2.4°F (+1.3°C)
  • December: +2.4°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.