ClimateSearch

Kaili, Guizhou

China · 276k people · 699 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 high47°F (8°C)52°F (11°C)60°F (16°C)70°F (21°C)78°F (26°C)83°F (28°C)87°F (31°C)87°F (31°C)81°F (27°C)71°F (22°C)62°F (16°C)52°F (11°C)
Average low36°F (2°C)40°F (5°C)46°F (8°C)55°F (13°C)63°F (17°C)69°F (21°C)71°F (22°C)70°F (21°C)64°F (18°C)56°F (14°C)47°F (9°C)39°F (4°C)
Dew point35°F (2°C)40°F (4°C)47°F (8°C)56°F (13°C)63°F (17°C)68°F (20°C)71°F (22°C)70°F (21°C)64°F (18°C)55°F (13°C)47°F (8°C)38°F (3°C)
Rainfall1.2 in (30 mm)1.4 in (35 mm)2.1 in (52 mm)4.3 in (108 mm)7.2 in (184 mm)7.3 in (185 mm)6.2 in (156 mm)4.9 in (125 mm)3.4 in (86 mm)3.4 in (85 mm)2.1 in (52 mm)1.1 in (29 mm)
Rainy days77111314131097986
Snowfall2.3 in (5.9 cm)0.7 in (1.8 cm)0.1 in (0.3 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 (0.1 cm)0.9 in (2.4 cm)
Sunshine50 h41 h46 h71 h87 h85 h127 h156 h131 h88 h84 h73 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

+1.7°F (+1.0°C)

Models range from +1.4°F (+0.8°C) to +2.2°F (+1.2°C)

Days above 90°F (32°C) a year

2 → 5

About 2.4× as many

Warming by month
  • January: +2.8°F (+1.5°C)
  • February: +1.8°F (+1.0°C)
  • March: +1.4°F (+0.8°C)
  • April: +2.6°F (+1.4°C)
  • May: +2.1°F (+1.2°C)
  • June: +2.0°F (+1.1°C)
  • July: +1.5°F (+0.8°C)
  • August: +1.8°F (+1.0°C)
  • September: +2.3°F (+1.3°C)
  • October: +1.9°F (+1.0°C)
  • November: +2.2°F (+1.2°C)
  • December: +2.7°F (+1.5°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.