ClimateSearch

Ichalkaranji, Maharashtra

India · 287k people · 563 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)89°F (32°C)95°F (35°C)98°F (37°C)96°F (36°C)85°F (29°C)79°F (26°C)79°F (26°C)82°F (28°C)84°F (29°C)85°F (29°C)84°F (29°C)
Average low61°F (16°C)63°F (17°C)68°F (20°C)72°F (22°C)74°F (23°C)73°F (23°C)72°F (22°C)71°F (22°C)70°F (21°C)69°F (21°C)66°F (19°C)62°F (17°C)
Dew point51°F (11°C)51°F (10°C)54°F (12°C)60°F (16°C)65°F (19°C)70°F (21°C)69°F (21°C)69°F (21°C)69°F (20°C)66°F (19°C)59°F (15°C)53°F (12°C)
Rainfall0 in (1 mm)0 in (0 mm)0.1 in (3 mm)0.5 in (12 mm)1.4 in (35 mm)6.5 in (166 mm)7.3 in (185 mm)5.2 in (133 mm)4.6 in (117 mm)4.1 in (103 mm)0.9 in (23 mm)0.2 in (5 mm)
Rainy days00136202521151131
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)
Sunshine330 h312 h360 h354 h358 h254 h218 h232 h271 h309 h306 h314 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 +1.1°F (+0.6°C) to +2.0°F (+1.1°C)

Days above 90°F (32°C) a year

106 115

About 1.1× as many

Warming by month
  • January: +0.6°F (+0.4°C)
  • February: +0.7°F (+0.4°C)
  • March: +0.7°F (+0.4°C)
  • April: +0.8°F (+0.4°C)
  • May: +1.4°F (+0.8°C)
  • June: +2.0°F (+1.1°C)
  • July: +1.4°F (+0.8°C)
  • August: +1.5°F (+0.8°C)
  • September: +1.5°F (+0.8°C)
  • October: +1.0°F (+0.5°C)
  • November: +1.1°F (+0.6°C)
  • December: +0.9°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.