ClimateSearch

Mahesāna, Gujarat

India · 191k people · 90 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)97°F (36°C)103°F (40°C)107°F (42°C)102°F (39°C)92°F (33°C)89°F (32°C)91°F (33°C)96°F (36°C)91°F (33°C)85°F (30°C)
Average low53°F (11°C)57°F (14°C)66°F (19°C)74°F (23°C)81°F (27°C)82°F (28°C)79°F (26°C)77°F (25°C)76°F (25°C)70°F (21°C)61°F (16°C)55°F (13°C)
Dew point45°F (7°C)45°F (7°C)47°F (8°C)52°F (11°C)62°F (17°C)71°F (22°C)75°F (24°C)74°F (24°C)72°F (22°C)62°F (17°C)53°F (12°C)49°F (9°C)
Rainfall0.1 in (2 mm)0 in (1 mm)0.3 in (7 mm)0 in (1 mm)0.1 in (2 mm)2.8 in (70 mm)15.5 in (395 mm)7.3 in (186 mm)6.1 in (156 mm)0.6 in (14 mm)0 in (1 mm)0.1 in (2 mm)
Rainy days0010041296100
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)
Sunshine284 h271 h300 h305 h333 h229 h88 h88 h200 h287 h261 h263 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 +2.3°F (+1.3°C)

Days above 90°F (32°C) a year

178 → 193

About 1.1× as many

Warming by month
  • January: +0.6°F (+0.3°C)
  • February: +0.9°F (+0.5°C)
  • March: +0.9°F (+0.5°C)
  • April: +0.8°F (+0.5°C)
  • May: +0.8°F (+0.5°C)
  • June: +1.7°F (+0.9°C)
  • July: +2.1°F (+1.2°C)
  • August: +0.9°F (+0.5°C)
  • September: +0.2°F (+0.1°C)
  • October: −0.3°F (−0.2°C)
  • November: −0.2°F (−0.1°C)
  • December: +0.5°F (+0.3°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.