ClimateSearch

Aizawl, Mizoram

India · 293k people · 1082 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 high66°F (19°C)71°F (21°C)77°F (25°C)80°F (27°C)79°F (26°C)77°F (25°C)76°F (24°C)76°F (24°C)76°F (24°C)74°F (24°C)71°F (22°C)67°F (19°C)
Average low42°F (5°C)46°F (8°C)54°F (12°C)60°F (16°C)64°F (18°C)66°F (19°C)66°F (19°C)65°F (19°C)64°F (18°C)61°F (16°C)52°F (11°C)44°F (7°C)
Dew point45°F (7°C)46°F (8°C)51°F (11°C)59°F (15°C)64°F (18°C)66°F (19°C)66°F (19°C)66°F (19°C)66°F (19°C)63°F (17°C)56°F (13°C)48°F (9°C)
Rainfall0.4 in (9 mm)0.9 in (22 mm)2.1 in (53 mm)3.3 in (85 mm)8.8 in (224 mm)11.8 in (300 mm)12.2 in (309 mm)11.7 in (297 mm)10.2 in (258 mm)6.1 in (154 mm)1.5 in (38 mm)0.5 in (12 mm)
Rainy days2371222283030282052
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)
Sunshine303 h292 h344 h325 h307 h240 h219 h229 h249 h276 h292 h304 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

+1.0°F (+0.6°C)

Models range from +0.7°F (+0.4°C) to +1.3°F (+0.7°C)

Days above 90°F (32°C) a year

0 0

Warming by month
  • January: +1.2°F (+0.7°C)
  • February: +0.8°F (+0.5°C)
  • March: +0.7°F (+0.4°C)
  • April: +0.6°F (+0.4°C)
  • May: +0.5°F (+0.3°C)
  • June: +1.3°F (+0.7°C)
  • July: +0.9°F (+0.5°C)
  • August: +0.9°F (+0.5°C)
  • September: +0.8°F (+0.4°C)
  • October: +1.2°F (+0.7°C)
  • November: +1.1°F (+0.6°C)
  • December: +1.2°F (+0.7°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.