ClimateSearch

Gyānpur, Uttar Pradesh

India · 200k people · 92 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 high71°F (22°C)81°F (27°C)91°F (33°C)103°F (39°C)106°F (41°C)102°F (39°C)93°F (34°C)91°F (33°C)91°F (33°C)91°F (33°C)86°F (30°C)76°F (25°C)
Average low48°F (9°C)55°F (13°C)64°F (18°C)74°F (23°C)80°F (27°C)82°F (28°C)81°F (27°C)80°F (27°C)79°F (26°C)71°F (22°C)59°F (15°C)50°F (10°C)
Dew point49°F (10°C)52°F (11°C)52°F (11°C)52°F (11°C)61°F (16°C)71°F (22°C)77°F (25°C)77°F (25°C)76°F (24°C)67°F (20°C)57°F (14°C)51°F (10°C)
Rainfall0.8 in (20 mm)0.4 in (10 mm)0.6 in (16 mm)0.1 in (2 mm)0.3 in (8 mm)3.2 in (81 mm)11.7 in (296 mm)12.4 in (314 mm)7 in (179 mm)1.5 in (38 mm)0.1 in (3 mm)0.1 in (3 mm)
Rainy days222016191912201
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)
Sunshine254 h250 h286 h304 h334 h218 h102 h104 h160 h263 h263 h261 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

+1.4°F (+0.8°C)

Models range from +0.9°F (+0.5°C) to +1.7°F (+1.0°C)

Days above 90°F (32°C) a year

147 → 166

About 1.1× as many

Warming by month
  • January: +0.2°F (+0.1°C)
  • February: −0.2°F (−0.1°C)
  • March: +0.2°F (+0.1°C)
  • April: −0.1°F (+0.0°C)
  • May: +0.7°F (+0.4°C)
  • June: +1.7°F (+0.9°C)
  • July: +1.1°F (+0.6°C)
  • August: +1.4°F (+0.8°C)
  • September: +1.3°F (+0.7°C)
  • October: +0.8°F (+0.4°C)
  • November: −0.1°F (−0.1°C)
  • December: −0.1°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.