ClimateSearch

Gudivāda, Andhra Pradesh

India · 118k people · 11 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 high85°F (30°C)89°F (32°C)94°F (34°C)98°F (36°C)102°F (39°C)98°F (37°C)92°F (33°C)90°F (32°C)90°F (32°C)89°F (32°C)87°F (30°C)85°F (30°C)
Average low67°F (20°C)69°F (21°C)74°F (24°C)79°F (26°C)83°F (28°C)82°F (28°C)78°F (26°C)78°F (26°C)78°F (26°C)77°F (25°C)72°F (22°C)67°F (20°C)
Dew point65°F (18°C)67°F (19°C)70°F (21°C)74°F (23°C)74°F (23°C)73°F (23°C)74°F (23°C)74°F (23°C)75°F (24°C)74°F (23°C)70°F (21°C)65°F (18°C)
Rainfall0 in (1 mm)0.2 in (4 mm)0.2 in (5 mm)0.8 in (20 mm)1 in (26 mm)5.6 in (144 mm)9.7 in (246 mm)8.5 in (215 mm)7.9 in (200 mm)8.3 in (212 mm)2.1 in (54 mm)0.5 in (14 mm)
Rainy days0001181414131241
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)
Sunshine248 h245 h278 h265 h260 h132 h91 h95 h121 h165 h200 h234 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 +1.2°F (+0.7°C) to +1.3°F (+0.7°C)

Days above 90°F (32°C) a year

174 → 197

About 1.1× as many

Warming by month
  • January: +0.3°F (+0.2°C)
  • February: +0.3°F (+0.2°C)
  • March: +0.1°F (+0.0°C)
  • April: +0.6°F (+0.3°C)
  • May: +1.2°F (+0.7°C)
  • June: +1.3°F (+0.7°C)
  • July: +1.3°F (+0.7°C)
  • August: +1.0°F (+0.6°C)
  • September: +1.1°F (+0.6°C)
  • October: +1.2°F (+0.7°C)
  • November: +0.8°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.