ClimateSearch

Gondiā, Maharashtra

India · 133k people · 319 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 high82°F (28°C)89°F (32°C)96°F (36°C)103°F (39°C)108°F (42°C)100°F (38°C)87°F (31°C)86°F (30°C)88°F (31°C)88°F (31°C)86°F (30°C)83°F (29°C)
Average low55°F (13°C)60°F (16°C)68°F (20°C)76°F (25°C)83°F (29°C)81°F (27°C)76°F (25°C)76°F (24°C)76°F (24°C)70°F (21°C)60°F (16°C)56°F (13°C)
Dew point49°F (9°C)50°F (10°C)51°F (11°C)52°F (11°C)56°F (13°C)69°F (21°C)74°F (23°C)74°F (23°C)73°F (23°C)66°F (19°C)57°F (14°C)50°F (10°C)
Rainfall0.5 in (12 mm)0.2 in (5 mm)1.1 in (27 mm)0.5 in (12 mm)0.2 in (6 mm)5.7 in (144 mm)22.8 in (580 mm)16.4 in (415 mm)11.6 in (295 mm)2.3 in (59 mm)0.1 in (3 mm)0.3 in (6 mm)
Rainy days113219212014401
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)
Sunshine264 h259 h299 h297 h314 h162 h65 h61 h132 h237 h259 h267 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 +0.6°F (+0.3°C) to +1.8°F (+1.0°C)

Days above 90°F (32°C) a year

123 → 133

About 1.1× as many

Warming by month
  • January: +0.5°F (+0.3°C)
  • February: +0.2°F (+0.1°C)
  • March: −0.3°F (−0.2°C)
  • April: −0.7°F (−0.4°C)
  • May: −0.3°F (−0.1°C)
  • June: +2.1°F (+1.2°C)
  • July: +1.0°F (+0.6°C)
  • August: +1.0°F (+0.6°C)
  • September: +1.3°F (+0.7°C)
  • October: +0.8°F (+0.5°C)
  • November: +0.6°F (+0.3°C)
  • December: +0.1°F (+0.1°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.