ClimateSearch

Virār, Maharashtra

India · 1.2M people · 14 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 high86°F (30°C)88°F (31°C)92°F (34°C)93°F (34°C)92°F (34°C)87°F (31°C)83°F (28°C)82°F (28°C)84°F (29°C)89°F (32°C)90°F (32°C)88°F (31°C)
Average low65°F (18°C)66°F (19°C)71°F (21°C)75°F (24°C)80°F (27°C)80°F (27°C)78°F (25°C)77°F (25°C)76°F (25°C)75°F (24°C)72°F (22°C)67°F (19°C)
Dew point57°F (14°C)58°F (15°C)62°F (17°C)70°F (21°C)74°F (24°C)77°F (25°C)76°F (25°C)76°F (24°C)76°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 (0 mm)0.3 in (9 mm)13.4 in (340 mm)21.2 in (539 mm)15.7 in (399 mm)9 in (230 mm)2.2 in (56 mm)0.3 in (7 mm)0.2 in (4 mm)
Rainy days0000223313022810
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)
Sunshine334 h310 h354 h358 h370 h268 h199 h224 h277 h325 h308 h312 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 +1.4°F (+0.8°C) to +1.9°F (+1.1°C)

Days above 90°F (32°C) a year

132 161

About 1.2× as many

Warming by month
  • January: +1.0°F (+0.5°C)
  • February: +1.0°F (+0.6°C)
  • March: +1.2°F (+0.7°C)
  • April: +1.0°F (+0.6°C)
  • May: +1.4°F (+0.8°C)
  • June: +1.6°F (+0.9°C)
  • July: +1.7°F (+0.9°C)
  • August: +1.5°F (+0.9°C)
  • September: +1.5°F (+0.8°C)
  • October: +0.6°F (+0.3°C)
  • November: +1.1°F (+0.6°C)
  • December: +0.8°F (+0.4°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.