ClimateSearch

Londrina, Paraná

Brazil · 581k people · 599 m elevation · Southern 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)86°F (30°C)85°F (29°C)82°F (28°C)76°F (25°C)75°F (24°C)76°F (24°C)80°F (27°C)82°F (28°C)84°F (29°C)85°F (30°C)87°F (30°C)
Average low65°F (18°C)64°F (18°C)63°F (17°C)59°F (15°C)53°F (12°C)51°F (11°C)51°F (10°C)53°F (12°C)57°F (14°C)61°F (16°C)61°F (16°C)63°F (17°C)
Dew point68°F (20°C)68°F (20°C)66°F (19°C)62°F (16°C)57°F (14°C)55°F (13°C)53°F (12°C)53°F (12°C)56°F (14°C)62°F (17°C)63°F (17°C)66°F (19°C)
Rainfall9.3 in (236 mm)7.9 in (200 mm)4.9 in (124 mm)3.8 in (97 mm)3.5 in (89 mm)3.2 in (81 mm)2.3 in (59 mm)2 in (50 mm)3.7 in (93 mm)5.6 in (141 mm)5.7 in (145 mm)7.4 in (188 mm)
Rainy days161511666557101013
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)
Sunshine175 h169 h204 h208 h195 h193 h219 h235 h206 h191 h199 h195 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

+1.6°F (+0.9°C)

Models range from +1.5°F (+0.8°C) to +1.7°F (+1.0°C)

Days above 90°F (32°C) a year

9 → 17

About 2.0× as many

Warming by month
  • January: +1.5°F (+0.8°C)
  • February: +1.3°F (+0.7°C)
  • March: +1.6°F (+0.9°C)
  • April: +1.6°F (+0.9°C)
  • May: +1.3°F (+0.7°C)
  • June: +1.8°F (+1.0°C)
  • July: +2.5°F (+1.4°C)
  • August: +2.5°F (+1.4°C)
  • September: +2.7°F (+1.5°C)
  • October: +2.8°F (+1.5°C)
  • November: +2.1°F (+1.2°C)
  • December: +2.0°F (+1.1°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.