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 high82°F (28°C)82°F (28°C)80°F (27°C)79°F (26°C)71°F (22°C)69°F (21°C)70°F (21°C)74°F (23°C)78°F (25°C)79°F (26°C)80°F (27°C)83°F (28°C)
Average low61°F (16°C)61°F (16°C)59°F (15°C)56°F (14°C)49°F (9°C)47°F (8°C)46°F (8°C)48°F (9°C)53°F (12°C)56°F (14°C)57°F (14°C)60°F (16°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)
Rainfall6.9 in (175 mm)6.1 in (154 mm)4.4 in (111 mm)3.4 in (86 mm)3.4 in (86 mm)3.2 in (81 mm)2.1 in (52 mm)1.7 in (42 mm)3.1 in (79 mm)5.5 in (139 mm)4 in (102 mm)5.6 in (143 mm)
Rainy days15131067655710912
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)
Sunshine183 h174 h208 h207 h191 h188 h214 h231 h203 h191 h202 h200 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.