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)95°F (35°C)96°F (36°C)94°F (35°C)88°F (31°C)83°F (28°C)82°F (28°C)85°F (29°C)90°F (32°C)91°F (33°C)89°F (32°C)
Average low64°F (18°C)65°F (19°C)70°F (21°C)75°F (24°C)80°F (26°C)79°F (26°C)78°F (25°C)77°F (25°C)76°F (25°C)74°F (24°C)71°F (21°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 in (1 mm)0 in (1 mm)0.4 in (11 mm)12.8 in (326 mm)18.5 in (469 mm)13.2 in (336 mm)9.1 in (231 mm)2.7 in (70 mm)0.4 in (9 mm)0.2 in (6 mm)
Rainy days00003253130241021
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)
Sunshine333 h310 h355 h358 h367 h254 h183 h206 h266 h321 h310 h311 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.