ClimateSearch

Liupanshui, Guizhou

China · 1.3M people · 1819 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 high49°F (9°C)54°F (12°C)61°F (16°C)67°F (20°C)70°F (21°C)73°F (23°C)75°F (24°C)75°F (24°C)70°F (21°C)62°F (17°C)57°F (14°C)49°F (10°C)
Average low34°F (1°C)38°F (3°C)43°F (6°C)50°F (10°C)55°F (13°C)61°F (16°C)63°F (17°C)62°F (16°C)58°F (14°C)52°F (11°C)44°F (7°C)37°F (3°C)
Dew point35°F (2°C)37°F (3°C)43°F (6°C)49°F (10°C)55°F (13°C)61°F (16°C)63°F (17°C)62°F (17°C)58°F (14°C)52°F (11°C)45°F (7°C)37°F (3°C)
Rainfall1.8 in (46 mm)1.6 in (40 mm)2.6 in (65 mm)4 in (102 mm)6.6 in (168 mm)10.5 in (268 mm)9.4 in (239 mm)7.2 in (183 mm)6 in (152 mm)5.5 in (139 mm)2.3 in (58 mm)1.6 in (41 mm)
Rainy days121116192124242219211312
Snowfall5.9 in (15.1 cm)3.9 in (9.9 cm)0.9 in (2.4 cm)0.2 in (0.4 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)0.4 in (1.1 cm)3 in (7.7 cm)
Sunshine169 h179 h224 h231 h227 h204 h263 h270 h206 h136 h154 h141 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

+1.8°F (+1.0°C)

Models range from +1.6°F (+0.9°C) to +2.1°F (+1.2°C)

Days above 90°F (32°C) a year

0 0

Warming by month
  • January: +2.7°F (+1.5°C)
  • February: +1.5°F (+0.9°C)
  • March: +1.3°F (+0.7°C)
  • April: +3.2°F (+1.8°C)
  • May: +2.8°F (+1.6°C)
  • June: +1.9°F (+1.1°C)
  • July: +1.6°F (+0.9°C)
  • August: +2.0°F (+1.1°C)
  • September: +2.4°F (+1.4°C)
  • October: +2.3°F (+1.3°C)
  • November: +1.8°F (+1.0°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.