ClimateSearch

Nada, Hainan

China · 257k people · 143 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 high71°F (22°C)74°F (23°C)80°F (26°C)86°F (30°C)90°F (32°C)92°F (33°C)91°F (33°C)89°F (32°C)87°F (31°C)84°F (29°C)79°F (26°C)73°F (23°C)
Average low59°F (15°C)60°F (16°C)65°F (18°C)71°F (22°C)75°F (24°C)77°F (25°C)76°F (25°C)76°F (24°C)74°F (24°C)71°F (22°C)67°F (19°C)61°F (16°C)
Dew point58°F (15°C)61°F (16°C)65°F (19°C)70°F (21°C)74°F (23°C)75°F (24°C)75°F (24°C)75°F (24°C)74°F (23°C)70°F (21°C)65°F (18°C)59°F (15°C)
Rainfall0.7 in (19 mm)0.7 in (19 mm)1.1 in (29 mm)3.1 in (78 mm)8.5 in (215 mm)6.9 in (176 mm)11.8 in (301 mm)12.2 in (310 mm)11.4 in (290 mm)7.7 in (197 mm)2.5 in (64 mm)1.4 in (35 mm)
Rainy days223714101316161043
Snowfall0 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)0 in (0 cm)
Sunshine123 h136 h191 h204 h188 h156 h170 h150 h148 h181 h156 h122 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 +1.7°F (+0.9°C) to +2.0°F (+1.1°C)

Days above 90°F (32°C) a year

69 → 103

About 1.5× as many

Warming by month
  • January: +1.6°F (+0.9°C)
  • February: +1.2°F (+0.7°C)
  • March: +1.4°F (+0.8°C)
  • April: +2.9°F (+1.6°C)
  • May: +2.8°F (+1.5°C)
  • June: +2.2°F (+1.2°C)
  • July: +1.7°F (+0.9°C)
  • August: +1.5°F (+0.9°C)
  • September: +1.7°F (+0.9°C)
  • October: +2.0°F (+1.1°C)
  • November: +2.0°F (+1.1°C)
  • December: +1.6°F (+0.9°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.