ClimateSearch

Borivli, Maharashtra

India · 610k people · 23 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 high87°F (31°C)89°F (32°C)92°F (34°C)93°F (34°C)94°F (34°C)90°F (32°C)86°F (30°C)85°F (30°C)87°F (30°C)91°F (33°C)92°F (34°C)89°F (32°C)
Average low62°F (17°C)65°F (18°C)71°F (21°C)76°F (24°C)81°F (27°C)80°F (27°C)78°F (25°C)77°F (25°C)76°F (25°C)75°F (24°C)71°F (22°C)65°F (18°C)
Dew point59°F (15°C)60°F (15°C)64°F (18°C)71°F (22°C)75°F (24°C)77°F (25°C)76°F (25°C)76°F (24°C)76°F (24°C)73°F (23°C)66°F (19°C)61°F (16°C)
Rainfall0.1 in (2 mm)0.1 in (2 mm)0.1 in (2 mm)0.1 in (3 mm)0.8 in (21 mm)20.4 in (517 mm)32.6 in (828 mm)20.6 in (524 mm)16.1 in (408 mm)4.1 in (104 mm)0.3 in (7 mm)0.1 in (2 mm)
Rainy days0000119282316610
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)
Sunshine284 h267 h303 h302 h284 h129 h66 h83 h145 h234 h251 h256 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

+1.6°F (+0.9°C)

Models range from +1.6°F (+0.9°C) to +1.7°F (+1.0°C)

Days above 90°F (32°C) a year

109 → 146

About 1.3× as many

Warming by month
  • January: +1.1°F (+0.6°C)
  • February: +1.0°F (+0.6°C)
  • March: +1.3°F (+0.7°C)
  • April: +1.1°F (+0.6°C)
  • May: +1.5°F (+0.8°C)
  • June: +1.7°F (+1.0°C)
  • July: +1.6°F (+0.9°C)
  • August: +1.5°F (+0.9°C)
  • September: +1.5°F (+0.8°C)
  • October: +0.5°F (+0.3°C)
  • November: +1.2°F (+0.7°C)
  • December: +1.0°F (+0.6°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.