ClimateSearch

Punāsa, Madhya Pradesh

India · 350k people · 274 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 high84°F (29°C)91°F (33°C)99°F (37°C)106°F (41°C)110°F (43°C)101°F (39°C)89°F (32°C)87°F (31°C)89°F (32°C)92°F (34°C)89°F (32°C)86°F (30°C)
Average low55°F (13°C)59°F (15°C)66°F (19°C)76°F (24°C)83°F (28°C)80°F (27°C)76°F (25°C)75°F (24°C)74°F (24°C)68°F (20°C)61°F (16°C)55°F (13°C)
Dew point48°F (9°C)47°F (9°C)46°F (8°C)46°F (8°C)55°F (13°C)69°F (21°C)73°F (23°C)73°F (23°C)72°F (22°C)63°F (17°C)55°F (13°C)49°F (10°C)
Rainfall0.2 in (4 mm)0 in (1 mm)0.2 in (6 mm)0.1 in (3 mm)0.2 in (5 mm)3.9 in (100 mm)14.5 in (369 mm)9.5 in (241 mm)11 in (279 mm)1.1 in (28 mm)0.3 in (7 mm)0.2 in (6 mm)
Rainy days101116151311311
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)
Sunshine265 h266 h317 h306 h323 h191 h74 h74 h170 h261 h266 h258 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 +1.2°F (+0.7°C) to +2.0°F (+1.1°C)

Days above 90°F (32°C) a year

148 → 160

About 1.1× as many

Warming by month
  • January: +0.1°F (+0.1°C)
  • February: +0.0°F (+0.0°C)
  • March: +0.1°F (+0.0°C)
  • April: +0.0°F (+0.0°C)
  • May: +0.8°F (+0.5°C)
  • June: +2.3°F (+1.3°C)
  • July: +1.3°F (+0.7°C)
  • August: +1.2°F (+0.7°C)
  • September: +1.0°F (+0.6°C)
  • October: +0.2°F (+0.1°C)
  • November: +0.2°F (+0.1°C)
  • December: +0.0°F (+0.0°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.