ClimateSearch

Nadiād, Gujarat

India · 225k people · 41 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 high81°F (27°C)87°F (31°C)96°F (35°C)101°F (39°C)104°F (40°C)99°F (37°C)90°F (32°C)88°F (31°C)90°F (32°C)95°F (35°C)92°F (33°C)85°F (30°C)
Average low53°F (12°C)57°F (14°C)65°F (19°C)74°F (23°C)80°F (27°C)81°F (27°C)78°F (26°C)77°F (25°C)77°F (25°C)71°F (22°C)62°F (17°C)55°F (13°C)
Dew point47°F (8°C)47°F (9°C)48°F (9°C)55°F (13°C)65°F (18°C)73°F (23°C)76°F (24°C)75°F (24°C)74°F (23°C)64°F (18°C)54°F (12°C)50°F (10°C)
Rainfall0.1 in (2 mm)0 in (1 mm)0.2 in (5 mm)0 in (1 mm)0.1 in (3 mm)4.1 in (104 mm)16.9 in (431 mm)11 in (280 mm)8.6 in (217 mm)0.7 in (17 mm)0.1 in (1 mm)0.1 in (2 mm)
Rainy days00000514117200
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 h273 h304 h308 h334 h222 h91 h95 h194 h280 h261 h262 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

+1.7°F (+1.0°C)

Models range from +1.3°F (+0.7°C) to +2.2°F (+1.2°C)

Days above 90°F (32°C) a year

184 → 204

About 1.1× as many

Warming by month
  • January: +0.6°F (+0.3°C)
  • February: +0.8°F (+0.5°C)
  • March: +0.8°F (+0.4°C)
  • April: +0.9°F (+0.5°C)
  • May: +1.0°F (+0.5°C)
  • June: +1.9°F (+1.1°C)
  • July: +2.1°F (+1.2°C)
  • August: +1.1°F (+0.6°C)
  • September: +0.5°F (+0.3°C)
  • October: −0.1°F (−0.1°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.