ClimateSearch

Thenali, Andhra Pradesh

India · 165k people · 14 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 high86°F (30°C)89°F (32°C)94°F (34°C)98°F (37°C)103°F (39°C)99°F (37°C)92°F (33°C)91°F (33°C)91°F (33°C)89°F (32°C)87°F (31°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)79°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)66°F (19°C)69°F (21°C)73°F (23°C)73°F (23°C)73°F (23°C)73°F (23°C)74°F (23°C)75°F (24°C)74°F (23°C)70°F (21°C)65°F (19°C)
Rainfall0 in (1 mm)0.1 in (4 mm)0.2 in (4 mm)0.7 in (19 mm)1.2 in (30 mm)5.2 in (132 mm)7.7 in (196 mm)7.5 in (190 mm)7.6 in (192 mm)7.9 in (201 mm)2.4 in (61 mm)0.6 in (14 mm)
Rainy days0001181313121241
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 h246 h281 h266 h260 h135 h94 h99 h125 h166 h198 h233 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 (+0.6°C) to +1.5°F (+0.8°C)

Days above 90°F (32°C) a year

187 → 210

About 1.1× as many

Warming by month
  • January: +0.3°F (+0.2°C)
  • February: +0.2°F (+0.1°C)
  • March: +0.1°F (+0.0°C)
  • April: +0.6°F (+0.4°C)
  • May: +1.0°F (+0.6°C)
  • June: +1.2°F (+0.7°C)
  • July: +1.4°F (+0.8°C)
  • August: +1.2°F (+0.7°C)
  • September: +1.1°F (+0.6°C)
  • October: +1.3°F (+0.7°C)
  • November: +0.8°F (+0.4°C)
  • December: +0.3°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.