ClimateSearch

Amreli, Gujarat

India · 118k people · 123 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 high83°F (28°C)88°F (31°C)96°F (35°C)102°F (39°C)104°F (40°C)97°F (36°C)88°F (31°C)86°F (30°C)89°F (31°C)94°F (34°C)90°F (32°C)85°F (29°C)
Average low58°F (15°C)61°F (16°C)68°F (20°C)74°F (23°C)78°F (25°C)80°F (26°C)78°F (25°C)76°F (25°C)75°F (24°C)73°F (23°C)67°F (20°C)61°F (16°C)
Dew point44°F (7°C)45°F (7°C)47°F (8°C)54°F (12°C)65°F (18°C)73°F (23°C)74°F (24°C)74°F (23°C)72°F (22°C)62°F (17°C)52°F (11°C)47°F (9°C)
Rainfall0 in (1 mm)0 in (1 mm)0 in (1 mm)0 in (1 mm)0.1 in (3 mm)3.8 in (97 mm)7.1 in (180 mm)6.6 in (167 mm)4.6 in (116 mm)0.8 in (21 mm)0.2 in (5 mm)0 in (1 mm)
Rainy days0000110161410310
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)
Sunshine334 h310 h348 h358 h381 h315 h224 h228 h287 h334 h303 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 +1.2°F (+0.7°C) to +2.2°F (+1.2°C)

Days above 90°F (32°C) a year

183 200

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 (+0.4°C)
  • May: +0.8°F (+0.4°C)
  • June: +1.5°F (+0.9°C)
  • July: +1.9°F (+1.0°C)
  • August: +1.5°F (+0.8°C)
  • September: +0.6°F (+0.3°C)
  • October: −0.2°F (−0.1°C)
  • November: +0.0°F (+0.0°C)
  • December: +0.6°F (+0.4°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.