ClimateSearch

Baise, Guangxi

China · 686k people · 131 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)69°F (21°C)75°F (24°C)84°F (29°C)90°F (32°C)92°F (33°C)93°F (34°C)93°F (34°C)90°F (32°C)83°F (28°C)76°F (25°C)68°F (20°C)
Average low51°F (11°C)55°F (13°C)60°F (16°C)68°F (20°C)73°F (23°C)76°F (25°C)77°F (25°C)76°F (25°C)73°F (23°C)67°F (20°C)60°F (15°C)52°F (11°C)
Dew point47°F (9°C)51°F (11°C)57°F (14°C)65°F (18°C)70°F (21°C)75°F (24°C)76°F (24°C)75°F (24°C)71°F (22°C)64°F (18°C)57°F (14°C)49°F (9°C)
Rainfall0.8 in (21 mm)1 in (26 mm)1.5 in (38 mm)2.7 in (68 mm)6.3 in (160 mm)9.5 in (242 mm)8.8 in (225 mm)8.2 in (209 mm)4 in (101 mm)2.5 in (63 mm)1.8 in (46 mm)1 in (25 mm)
Rainy days5667121514127555
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 in (0 cm)
Sunshine82 h83 h100 h127 h136 h104 h126 h156 h172 h152 h137 h120 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 +0.7°F (+0.4°C) to +2.4°F (+1.3°C)

Days above 90°F (32°C) a year

57 → 84

About 1.5× as many

Warming by month
  • January: +2.3°F (+1.3°C)
  • February: +1.5°F (+0.8°C)
  • March: +1.3°F (+0.7°C)
  • April: +2.8°F (+1.6°C)
  • May: +2.4°F (+1.4°C)
  • June: +1.7°F (+1.0°C)
  • July: +1.1°F (+0.6°C)
  • August: +1.3°F (+0.7°C)
  • September: +1.5°F (+0.8°C)
  • October: +1.9°F (+1.1°C)
  • November: +1.8°F (+1.0°C)
  • December: +2.1°F (+1.1°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.