ClimateSearch

Shāhjānpur, Uttar Pradesh

India · 320k people · 158 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 high69°F (20°C)75°F (24°C)86°F (30°C)98°F (36°C)101°F (39°C)98°F (37°C)90°F (32°C)88°F (31°C)88°F (31°C)87°F (31°C)81°F (27°C)72°F (22°C)
Average low47°F (9°C)53°F (12°C)61°F (16°C)71°F (22°C)78°F (26°C)81°F (27°C)79°F (26°C)78°F (26°C)76°F (24°C)67°F (19°C)58°F (14°C)50°F (10°C)
Dew point47°F (9°C)50°F (10°C)52°F (11°C)51°F (11°C)60°F (16°C)71°F (22°C)77°F (25°C)77°F (25°C)75°F (24°C)64°F (18°C)54°F (12°C)48°F (9°C)
Rainfall1 in (26 mm)1.4 in (36 mm)1 in (24 mm)0.6 in (15 mm)0.9 in (22 mm)5.3 in (135 mm)11.5 in (291 mm)10.4 in (264 mm)6.2 in (157 mm)1 in (24 mm)0.1 in (3 mm)0.5 in (12 mm)
Rainy days3433512252515211
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)
Sunshine294 h284 h347 h363 h392 h338 h255 h252 h280 h332 h312 h299 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

+1.2°F (+0.7°C)

Models range from +0.2°F (+0.1°C) to +1.9°F (+1.1°C)

Days above 90°F (32°C) a year

133 154

About 1.2× as many

Warming by month
  • January: +0.4°F (+0.2°C)
  • February: +0.1°F (+0.1°C)
  • March: +0.2°F (+0.1°C)
  • April: −0.6°F (−0.3°C)
  • May: +0.2°F (+0.1°C)
  • June: +1.5°F (+0.8°C)
  • July: +1.0°F (+0.5°C)
  • August: +1.2°F (+0.7°C)
  • September: +1.3°F (+0.7°C)
  • October: +0.9°F (+0.5°C)
  • November: −0.1°F (+0.0°C)
  • December: +0.4°F (+0.2°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.