ClimateSearch

Daliang, Guangdong

China · 210k people · 10 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 high65°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)90°F (32°C)88°F (31°C)84°F (29°C)76°F (25°C)68°F (20°C)
Average low51°F (11°C)54°F (12°C)60°F (15°C)67°F (20°C)74°F (23°C)77°F (25°C)78°F (26°C)78°F (26°C)76°F (24°C)71°F (21°C)62°F (17°C)54°F (12°C)
Dew point47°F (9°C)53°F (11°C)60°F (15°C)67°F (20°C)73°F (23°C)76°F (25°C)77°F (25°C)77°F (25°C)74°F (23°C)65°F (19°C)57°F (14°C)48°F (9°C)
Rainfall1.6 in (40 mm)1.9 in (48 mm)3.4 in (86 mm)6.1 in (156 mm)8.8 in (225 mm)11.7 in (298 mm)9.5 in (242 mm)9.7 in (246 mm)6 in (153 mm)2.5 in (62 mm)1.5 in (37 mm)1.4 in (37 mm)
Rainy days568101517151610444
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)
Sunshine139 h93 h87 h104 h121 h119 h169 h157 h174 h209 h178 h166 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

+1.4°F (+0.8°C)

Models range from +1.2°F (+0.6°C) to +1.9°F (+1.0°C)

Days above 90°F (32°C) a year

37 → 63

About 1.7× as many

Warming by month
  • January: +2.5°F (+1.4°C)
  • February: +2.1°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: +1.7°F (+1.0°C)
  • July: +1.4°F (+0.8°C)
  • August: +1.0°F (+0.6°C)
  • September: +1.3°F (+0.7°C)
  • October: +1.9°F (+1.0°C)
  • November: +2.1°F (+1.1°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.