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 high88°F (31°C)90°F (32°C)94°F (34°C)94°F (35°C)95°F (35°C)91°F (33°C)86°F (30°C)86°F (30°C)87°F (31°C)92°F (33°C)93°F (34°C)90°F (32°C)
Average low61°F (16°C)64°F (18°C)70°F (21°C)76°F (24°C)81°F (27°C)80°F (27°C)77°F (25°C)77°F (25°C)76°F (25°C)75°F (24°C)70°F (21°C)64°F (18°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)
Rainfall0.1 in (2 mm)0 in (1 mm)0.1 in (3 mm)0.1 in (2 mm)0.7 in (17 mm)19 in (482 mm)31.5 in (799 mm)18.3 in (465 mm)14.4 in (365 mm)3.6 in (92 mm)0.2 in (6 mm)0.1 in (2 mm)
Rainy days0000118292316510
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)
Sunshine288 h269 h303 h302 h293 h142 h77 h94 h157 h238 h253 h258 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.