ClimateSearch

Lijiang, Yunnan

China · 211k people · 2400 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 high54°F (12°C)58°F (14°C)63°F (17°C)69°F (20°C)72°F (22°C)73°F (23°C)71°F (22°C)71°F (22°C)68°F (20°C)65°F (18°C)60°F (15°C)55°F (13°C)
Average low32°F (0°C)34°F (1°C)38°F (3°C)44°F (7°C)51°F (11°C)57°F (14°C)58°F (15°C)58°F (14°C)55°F (13°C)50°F (10°C)40°F (5°C)34°F (1°C)
Dew point28°F (-2°C)30°F (-1°C)35°F (2°C)41°F (5°C)49°F (9°C)57°F (14°C)60°F (15°C)59°F (15°C)56°F (14°C)49°F (10°C)39°F (4°C)31°F (0°C)
Rainfall0.6 in (16 mm)0.7 in (18 mm)1.3 in (33 mm)1.9 in (49 mm)4.7 in (120 mm)10.2 in (258 mm)12.6 in (319 mm)10.8 in (274 mm)10.3 in (263 mm)4.8 in (121 mm)1.2 in (30 mm)0.4 in (11 mm)
Rainy days4481014222828251553
Snowfall1.7 in (4.2 cm)0.8 in (2.1 cm)0.7 in (1.8 cm)0.2 in (0.5 cm)0 in (0 cm)0 in (0 cm)0 in (0 cm)0 in (0 cm)0 in (0 cm)0.2 in (0.5 cm)0.3 in (0.8 cm)0.6 in (1.5 cm)
Sunshine313 h297 h329 h337 h331 h285 h241 h259 h241 h280 h280 h299 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

+2.0°F (+1.1°C)

Models range from +1.5°F (+0.8°C) to +2.5°F (+1.4°C)

Days above 90°F (32°C) a year

0 0

Warming by month
  • January: +3.6°F (+2.0°C)
  • February: +2.7°F (+1.5°C)
  • March: +2.1°F (+1.2°C)
  • April: +2.5°F (+1.4°C)
  • May: +2.1°F (+1.2°C)
  • June: +2.4°F (+1.3°C)
  • July: +1.6°F (+0.9°C)
  • August: +2.0°F (+1.1°C)
  • September: +2.2°F (+1.2°C)
  • October: +2.3°F (+1.3°C)
  • November: +1.9°F (+1.1°C)
  • December: +2.4°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.