ClimateSearch

Airoli, Maharashtra

India · 100k people · 5 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 high88°F (31°C)90°F (32°C)94°F (34°C)95°F (35°C)95°F (35°C)91°F (33°C)87°F (30°C)86°F (30°C)87°F (31°C)92°F (34°C)94°F (34°C)90°F (32°C)
Average low63°F (17°C)65°F (19°C)71°F (22°C)77°F (25°C)81°F (27°C)80°F (27°C)78°F (26°C)77°F (25°C)77°F (25°C)75°F (24°C)71°F (22°C)65°F (19°C)
Dew point57°F (14°C)58°F (15°C)62°F (17°C)70°F (21°C)74°F (23°C)77°F (25°C)76°F (25°C)76°F (24°C)75°F (24°C)72°F (22°C)64°F (18°C)59°F (15°C)
Rainfall0 in (1 mm)0 in (1 mm)0.1 in (2 mm)0.1 in (2 mm)0.8 in (20 mm)22.7 in (577 mm)41 in (1042 mm)27 in (685 mm)18.7 in (474 mm)4.5 in (114 mm)0.3 in (7 mm)0.1 in (2 mm)
Rainy days0000121292618710
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)
Sunshine283 h266 h302 h301 h284 h128 h65 h81 h144 h233 h251 h255 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

+1.5°F (+0.9°C)

Models range from +1.3°F (+0.7°C) to +1.9°F (+1.0°C)

Days above 90°F (32°C) a year

169 → 200

About 1.2× as many

Warming by month
  • January: +1.0°F (+0.6°C)
  • February: +1.0°F (+0.5°C)
  • March: +1.0°F (+0.6°C)
  • April: +0.9°F (+0.5°C)
  • May: +1.3°F (+0.7°C)
  • June: +1.6°F (+0.9°C)
  • July: +1.5°F (+0.8°C)
  • August: +1.5°F (+0.8°C)
  • September: +1.7°F (+0.9°C)
  • October: +0.8°F (+0.4°C)
  • November: +1.4°F (+0.8°C)
  • December: +0.8°F (+0.5°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.