ClimateSearch

Sarandi, Paraná

Brazil · 118k people · 585 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 high83°F (28°C)83°F (28°C)82°F (28°C)80°F (27°C)74°F (23°C)72°F (22°C)72°F (22°C)77°F (25°C)80°F (27°C)82°F (28°C)82°F (28°C)83°F (28°C)
Average low69°F (21°C)69°F (20°C)67°F (20°C)64°F (18°C)58°F (15°C)57°F (14°C)56°F (13°C)58°F (14°C)62°F (16°C)65°F (18°C)66°F (19°C)68°F (20°C)
Dew point68°F (20°C)68°F (20°C)66°F (19°C)62°F (17°C)57°F (14°C)56°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)
Rainfall9.4 in (239 mm)7.9 in (201 mm)5.3 in (135 mm)3.5 in (89 mm)3.9 in (100 mm)3.8 in (96 mm)2.7 in (68 mm)2.6 in (67 mm)4.6 in (117 mm)6.2 in (158 mm)6.1 in (155 mm)7.5 in (192 mm)
Rainy days222017988669141419
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)
Sunshine314 h285 h310 h291 h273 h261 h287 h302 h282 h299 h312 h326 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

+1.7°F (+0.9°C)

Models range from +1.6°F (+0.9°C) to +1.8°F (+1.0°C)

Days above 90°F (32°C) a year

13 27

About 2.0× as many

Warming by month
  • January: +1.5°F (+0.8°C)
  • February: +1.4°F (+0.8°C)
  • March: +1.6°F (+0.9°C)
  • April: +1.5°F (+0.8°C)
  • May: +1.4°F (+0.8°C)
  • June: +1.8°F (+1.0°C)
  • July: +2.5°F (+1.4°C)
  • August: +2.7°F (+1.5°C)
  • September: +2.7°F (+1.5°C)
  • October: +2.8°F (+1.6°C)
  • November: +2.2°F (+1.2°C)
  • December: +2.1°F (+1.2°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.