ClimateSearch

Barshi, Maharashtra

India · 119k people · 518 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 high85°F (29°C)90°F (32°C)96°F (36°C)101°F (38°C)102°F (39°C)90°F (32°C)84°F (29°C)83°F (28°C)85°F (29°C)87°F (30°C)86°F (30°C)84°F (29°C)
Average low63°F (17°C)67°F (20°C)73°F (23°C)78°F (26°C)79°F (26°C)76°F (24°C)73°F (23°C)72°F (22°C)71°F (22°C)70°F (21°C)67°F (19°C)63°F (17°C)
Dew point49°F (10°C)47°F (8°C)46°F (8°C)50°F (10°C)57°F (14°C)69°F (21°C)70°F (21°C)69°F (21°C)69°F (21°C)64°F (18°C)56°F (14°C)51°F (10°C)
Rainfall0.1 in (4 mm)0 in (1 mm)0.3 in (8 mm)0.4 in (10 mm)0.6 in (14 mm)6.6 in (167 mm)7.4 in (189 mm)6.2 in (157 mm)5.7 in (144 mm)3 in (77 mm)0.7 in (17 mm)0.2 in (6 mm)
Rainy days1013418232116931
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 h311 h363 h356 h366 h271 h218 h222 h270 h316 h314 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

+1.5°F (+0.8°C)

Models range from +1.2°F (+0.7°C) to +1.8°F (+1.0°C)

Days above 90°F (32°C) a year

133 150

About 1.1× as many

Warming by month
  • January: +0.6°F (+0.4°C)
  • February: +0.7°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: +1.9°F (+1.1°C)
  • July: +1.3°F (+0.7°C)
  • August: +1.4°F (+0.8°C)
  • September: +1.4°F (+0.8°C)
  • October: +0.8°F (+0.5°C)
  • November: +1.1°F (+0.6°C)
  • December: +0.8°F (+0.5°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.