ClimateSearch

Kadapa, Andhra Pradesh

India · 345k people · 134 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 high90°F (32°C)95°F (35°C)101°F (38°C)104°F (40°C)105°F (41°C)99°F (37°C)95°F (35°C)94°F (34°C)92°F (34°C)92°F (33°C)88°F (31°C)87°F (30°C)
Average low69°F (20°C)71°F (22°C)77°F (25°C)82°F (28°C)84°F (29°C)82°F (28°C)79°F (26°C)79°F (26°C)78°F (26°C)77°F (25°C)72°F (22°C)68°F (20°C)
Dew point61°F (16°C)59°F (15°C)60°F (15°C)64°F (18°C)66°F (19°C)69°F (21°C)69°F (21°C)69°F (21°C)70°F (21°C)70°F (21°C)68°F (20°C)64°F (18°C)
Rainfall0 in (1 mm)0.1 in (1 mm)0.2 in (5 mm)1 in (27 mm)1.8 in (46 mm)3.4 in (86 mm)4.7 in (120 mm)5.5 in (140 mm)6 in (153 mm)6.2 in (157 mm)2.3 in (58 mm)0.8 in (20 mm)
Rainy days00114691010941
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)
Sunshine247 h258 h297 h270 h247 h141 h103 h107 h141 h165 h177 h208 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 +1.0°F (+0.5°C) to +1.6°F (+0.9°C)

Days above 90°F (32°C) a year

232 → 244

About 1.1× as many

Warming by month
  • January: −0.3°F (−0.1°C)
  • February: −0.4°F (−0.2°C)
  • March: −0.3°F (−0.2°C)
  • April: +0.6°F (+0.3°C)
  • May: +1.4°F (+0.8°C)
  • June: +1.3°F (+0.7°C)
  • July: +1.6°F (+0.9°C)
  • August: +1.1°F (+0.6°C)
  • September: +1.2°F (+0.6°C)
  • October: +1.0°F (+0.6°C)
  • November: +0.2°F (+0.1°C)
  • December: +0.2°F (+0.1°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.