ClimateSearch

Campo Largo, Paraná

Brazil · 145k people · 961 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 high77°F (25°C)77°F (25°C)75°F (24°C)72°F (22°C)66°F (19°C)64°F (18°C)64°F (18°C)67°F (20°C)69°F (21°C)72°F (22°C)73°F (23°C)76°F (24°C)
Average low63°F (17°C)64°F (18°C)62°F (17°C)58°F (15°C)53°F (12°C)50°F (10°C)49°F (9°C)50°F (10°C)53°F (12°C)57°F (14°C)58°F (15°C)62°F (16°C)
Dew point64°F (18°C)64°F (18°C)62°F (17°C)59°F (15°C)54°F (12°C)52°F (11°C)50°F (10°C)51°F (11°C)54°F (12°C)58°F (14°C)59°F (15°C)62°F (17°C)
Rainfall8.9 in (225 mm)7.4 in (189 mm)5 in (128 mm)3 in (77 mm)3.6 in (92 mm)4.1 in (104 mm)3.5 in (88 mm)3 in (77 mm)5.2 in (132 mm)5.6 in (143 mm)5.1 in (130 mm)7 in (178 mm)
Rainy days23201710898811151519
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)
Sunshine280 h255 h266 h243 h216 h206 h228 h252 h212 h223 h253 h288 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 +1.3°F (+0.7°C) to +2.0°F (+1.1°C)

Days above 90°F (32°C) a year

0 0

Warming by month
  • January: +1.6°F (+0.9°C)
  • February: +1.2°F (+0.7°C)
  • March: +1.4°F (+0.8°C)
  • April: +1.5°F (+0.8°C)
  • May: +1.2°F (+0.6°C)
  • June: +1.5°F (+0.8°C)
  • July: +2.1°F (+1.2°C)
  • August: +1.9°F (+1.0°C)
  • September: +1.5°F (+0.8°C)
  • October: +1.7°F (+1.0°C)
  • November: +1.4°F (+0.8°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.