ClimateSearch

Guilin, Guangxi

China · 1.6M people · 165 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 high53°F (12°C)57°F (14°C)63°F (17°C)74°F (23°C)82°F (28°C)87°F (30°C)91°F (33°C)91°F (33°C)87°F (31°C)78°F (26°C)69°F (20°C)58°F (15°C)
Average low42°F (6°C)46°F (8°C)52°F (11°C)61°F (16°C)68°F (20°C)74°F (23°C)76°F (25°C)76°F (24°C)71°F (22°C)63°F (17°C)54°F (12°C)45°F (7°C)
Dew point40°F (4°C)45°F (7°C)52°F (11°C)61°F (16°C)67°F (20°C)73°F (23°C)74°F (24°C)74°F (23°C)67°F (20°C)58°F (15°C)50°F (10°C)41°F (5°C)
Rainfall2.3 in (57 mm)2.8 in (71 mm)5 in (127 mm)7.1 in (180 mm)10.9 in (276 mm)12.8 in (326 mm)7.5 in (192 mm)4.9 in (125 mm)2.5 in (62 mm)2.5 in (64 mm)3.5 in (88 mm)2.1 in (53 mm)
Rainy days1012171617161185688
Snowfall0.3 in (0.7 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)0.1 in (0.3 cm)
Sunshine74 h56 h45 h72 h98 h94 h147 h176 h186 h180 h140 h124 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 +2.2°F (+1.2°C)

Days above 90°F (32°C) a year

15 → 30

About 1.9× as many

Warming by month
  • January: +2.8°F (+1.6°C)
  • February: +1.7°F (+0.9°C)
  • March: +1.5°F (+0.8°C)
  • April: +2.7°F (+1.5°C)
  • May: +2.0°F (+1.1°C)
  • June: +1.7°F (+1.0°C)
  • July: +1.5°F (+0.8°C)
  • August: +1.5°F (+0.9°C)
  • September: +1.7°F (+0.9°C)
  • October: +1.9°F (+1.1°C)
  • November: +2.4°F (+1.3°C)
  • December: +2.5°F (+1.4°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.