ClimateSearch

Nandyāl, Andhra Pradesh

India · 211k people · 211 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 high88°F (31°C)94°F (34°C)100°F (38°C)103°F (40°C)103°F (40°C)95°F (35°C)90°F (32°C)88°F (31°C)89°F (32°C)89°F (31°C)87°F (31°C)86°F (30°C)
Average low65°F (18°C)68°F (20°C)74°F (23°C)79°F (26°C)83°F (28°C)79°F (26°C)77°F (25°C)76°F (24°C)75°F (24°C)74°F (23°C)70°F (21°C)65°F (19°C)
Dew point58°F (15°C)57°F (14°C)58°F (15°C)63°F (17°C)65°F (19°C)70°F (21°C)70°F (21°C)71°F (21°C)71°F (22°C)70°F (21°C)65°F (18°C)61°F (16°C)
Rainfall0.1 in (4 mm)0.1 in (2 mm)0.2 in (6 mm)0.4 in (11 mm)1.2 in (31 mm)4 in (101 mm)4.6 in (117 mm)4.9 in (125 mm)4.8 in (123 mm)4.5 in (115 mm)1.4 in (35 mm)0.4 in (11 mm)
Rainy days11136131716151352
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)
Sunshine326 h317 h363 h355 h363 h277 h235 h237 h258 h288 h295 h316 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

+1.4°F (+0.8°C)

Models range from +1.0°F (+0.6°C) to +1.9°F (+1.1°C)

Days above 90°F (32°C) a year

208 239

About 1.1× as many

Warming by month
  • January: +0.4°F (+0.2°C)
  • February: +0.4°F (+0.2°C)
  • March: +0.3°F (+0.1°C)
  • April: +0.8°F (+0.4°C)
  • May: +1.5°F (+0.8°C)
  • June: +1.4°F (+0.8°C)
  • July: +1.6°F (+0.9°C)
  • August: +1.3°F (+0.7°C)
  • September: +1.3°F (+0.7°C)
  • October: +1.1°F (+0.6°C)
  • November: +0.7°F (+0.4°C)
  • December: +0.6°F (+0.4°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.