ClimateSearch

Navadwīp, West Bengal

India · 111k people · 15 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 high78°F (26°C)85°F (30°C)91°F (33°C)98°F (37°C)98°F (37°C)94°F (35°C)91°F (33°C)91°F (33°C)91°F (33°C)91°F (33°C)86°F (30°C)80°F (27°C)
Average low52°F (11°C)59°F (15°C)65°F (18°C)75°F (24°C)78°F (26°C)80°F (26°C)79°F (26°C)80°F (27°C)79°F (26°C)75°F (24°C)64°F (18°C)56°F (13°C)
Dew point53°F (12°C)57°F (14°C)62°F (17°C)71°F (21°C)76°F (25°C)78°F (26°C)78°F (26°C)78°F (25°C)77°F (25°C)73°F (23°C)63°F (17°C)56°F (13°C)
Rainfall0.5 in (13 mm)0.6 in (15 mm)0.7 in (19 mm)1.7 in (44 mm)4.2 in (106 mm)11 in (281 mm)12.2 in (310 mm)9.7 in (246 mm)10.4 in (265 mm)6 in (154 mm)0.6 in (16 mm)0.1 in (2 mm)
Rainy days2223816201817810
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)
Sunshine256 h244 h279 h258 h226 h120 h85 h93 h122 h211 h234 h245 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

+1.1°F (+0.6°C)

Models range from +0.4°F (+0.2°C) to +2.3°F (+1.3°C)

Days above 90°F (32°C) a year

106 → 122

About 1.1× as many

Warming by month
  • January: −0.1°F (+0.0°C)
  • February: −0.3°F (−0.2°C)
  • March: −0.1°F (+0.0°C)
  • April: −0.5°F (−0.3°C)
  • May: −0.4°F (−0.2°C)
  • June: +1.4°F (+0.8°C)
  • July: +0.7°F (+0.4°C)
  • August: +1.1°F (+0.6°C)
  • September: +1.2°F (+0.7°C)
  • October: +0.9°F (+0.5°C)
  • November: +0.3°F (+0.2°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.