ClimateSearch

Ahilyanagar, Maharashtra

India · 367k people · 660 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 high83°F (28°C)88°F (31°C)94°F (35°C)100°F (38°C)101°F (38°C)89°F (32°C)82°F (28°C)81°F (27°C)83°F (28°C)85°F (30°C)84°F (29°C)82°F (28°C)
Average low60°F (15°C)63°F (17°C)69°F (21°C)74°F (23°C)75°F (24°C)74°F (23°C)72°F (22°C)71°F (22°C)70°F (21°C)68°F (20°C)65°F (18°C)60°F (16°C)
Dew point48°F (9°C)46°F (8°C)45°F (7°C)49°F (10°C)58°F (15°C)69°F (20°C)69°F (21°C)69°F (20°C)68°F (20°C)63°F (17°C)56°F (13°C)50°F (10°C)
Rainfall0.1 in (3 mm)0.1 in (2 mm)0.2 in (6 mm)0.3 in (6 mm)0.4 in (11 mm)6.9 in (174 mm)6.8 in (173 mm)5.5 in (140 mm)6.1 in (156 mm)3.1 in (80 mm)0.8 in (20 mm)0.2 in (5 mm)
Rainy days1112316212016941
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)
Sunshine325 h310 h361 h356 h367 h281 h225 h229 h279 h321 h311 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

+1.4°F (+0.8°C)

Models range from +1.3°F (+0.7°C) to +1.4°F (+0.8°C)

Days above 90°F (32°C) a year

112 123

About 1.1× as many

Warming by month
  • January: +0.6°F (+0.3°C)
  • February: +0.8°F (+0.5°C)
  • March: +0.7°F (+0.4°C)
  • April: +0.6°F (+0.4°C)
  • May: +1.4°F (+0.8°C)
  • June: +1.8°F (+1.0°C)
  • July: +1.2°F (+0.7°C)
  • August: +1.1°F (+0.6°C)
  • September: +1.3°F (+0.7°C)
  • October: +0.7°F (+0.4°C)
  • November: +0.8°F (+0.5°C)
  • December: +0.7°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.