ClimateSearch

Sholapur, Maharashtra

India · 997k people · 477 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)91°F (33°C)97°F (36°C)101°F (39°C)103°F (39°C)91°F (33°C)85°F (30°C)84°F (29°C)85°F (30°C)87°F (31°C)87°F (31°C)85°F (30°C)
Average low64°F (18°C)68°F (20°C)75°F (24°C)80°F (27°C)81°F (27°C)76°F (25°C)74°F (23°C)72°F (22°C)72°F (22°C)71°F (22°C)68°F (20°C)64°F (18°C)
Dew point50°F (10°C)47°F (9°C)47°F (9°C)52°F (11°C)58°F (15°C)69°F (21°C)70°F (21°C)70°F (21°C)69°F (21°C)65°F (18°C)57°F (14°C)51°F (11°C)
Rainfall0.2 in (5 mm)0.1 in (2 mm)0.3 in (8 mm)0.5 in (12 mm)0.8 in (21 mm)6.1 in (156 mm)7.1 in (179 mm)6.1 in (156 mm)5.9 in (149 mm)3.3 in (84 mm)0.6 in (15 mm)0.2 in (6 mm)
Rainy days11135182321161031
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)
Sunshine323 h312 h364 h355 h365 h272 h226 h232 h271 h312 h313 h315 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

+1.3°F (+0.7°C)

Models range from +1.1°F (+0.6°C) to +1.6°F (+0.9°C)

Days above 90°F (32°C) a year

147 167

About 1.1× as many

Warming by month
  • January: +0.7°F (+0.4°C)
  • February: +0.6°F (+0.4°C)
  • March: +0.5°F (+0.3°C)
  • April: +0.5°F (+0.3°C)
  • May: +1.5°F (+0.8°C)
  • June: +1.5°F (+0.8°C)
  • July: +1.2°F (+0.7°C)
  • August: +1.3°F (+0.7°C)
  • September: +1.3°F (+0.7°C)
  • October: +0.8°F (+0.4°C)
  • November: +1.1°F (+0.6°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.