ClimateSearch

Sonīpat, Haryana

India · 289k people · 227 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 high68°F (20°C)75°F (24°C)86°F (30°C)98°F (37°C)105°F (41°C)103°F (40°C)96°F (36°C)94°F (34°C)93°F (34°C)91°F (33°C)83°F (28°C)73°F (23°C)
Average low45°F (7°C)50°F (10°C)59°F (15°C)69°F (20°C)77°F (25°C)81°F (27°C)80°F (27°C)79°F (26°C)76°F (25°C)66°F (19°C)54°F (12°C)46°F (8°C)
Dew point45°F (7°C)49°F (9°C)52°F (11°C)50°F (10°C)56°F (13°C)68°F (20°C)76°F (24°C)76°F (25°C)73°F (23°C)60°F (16°C)51°F (11°C)46°F (8°C)
Rainfall1 in (26 mm)0.7 in (17 mm)0.7 in (18 mm)0.3 in (7 mm)0.3 in (8 mm)1.2 in (29 mm)6.6 in (167 mm)8.1 in (206 mm)5.2 in (133 mm)0.8 in (20 mm)0.2 in (4 mm)0.2 in (5 mm)
Rainy days33211212137111
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)
Sunshine226 h218 h273 h283 h321 h283 h169 h161 h242 h298 h264 h246 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

+1.3°F (+0.7°C)

Models range from +0.3°F (+0.2°C) to +2.1°F (+1.2°C)

Days above 90°F (32°C) a year

156 → 166

About 1.1× as many

Warming by month
  • January: +0.5°F (+0.3°C)
  • February: +0.1°F (+0.1°C)
  • March: +0.3°F (+0.2°C)
  • April: −0.4°F (−0.2°C)
  • May: +0.3°F (+0.1°C)
  • June: +1.4°F (+0.8°C)
  • July: +1.2°F (+0.7°C)
  • August: +1.2°F (+0.7°C)
  • September: +0.6°F (+0.3°C)
  • October: −0.5°F (−0.3°C)
  • November: −0.7°F (−0.4°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.