ClimateSearch

Crato, Ceará

Brazil · 139k people · 425 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 high89°F (31°C)87°F (31°C)86°F (30°C)85°F (30°C)84°F (29°C)84°F (29°C)85°F (29°C)87°F (31°C)90°F (32°C)91°F (33°C)91°F (33°C)90°F (32°C)
Average low70°F (21°C)70°F (21°C)69°F (21°C)69°F (21°C)68°F (20°C)66°F (19°C)65°F (18°C)65°F (18°C)67°F (19°C)69°F (20°C)70°F (21°C)70°F (21°C)
Dew point67°F (19°C)68°F (20°C)69°F (21°C)68°F (20°C)66°F (19°C)63°F (17°C)60°F (16°C)58°F (15°C)58°F (14°C)59°F (15°C)61°F (16°C)63°F (17°C)
Rainfall6.6 in (168 mm)6.7 in (170 mm)7.7 in (197 mm)5.8 in (146 mm)2.3 in (57 mm)1 in (26 mm)0.5 in (13 mm)0.3 in (7 mm)0.2 in (4 mm)0.8 in (21 mm)1.5 in (37 mm)2.2 in (56 mm)
Rainy days111112952211234
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)
Sunshine185 h167 h182 h185 h200 h205 h229 h256 h260 h259 h232 h226 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

+1.3°F (+0.7°C)

Models range from +0.7°F (+0.4°C) to +1.6°F (+0.9°C)

Days above 90°F (32°C) a year

119 → 153

About 1.3× as many

Warming by month
  • January: +1.0°F (+0.5°C)
  • February: +1.3°F (+0.7°C)
  • March: +2.1°F (+1.2°C)
  • April: +1.7°F (+1.0°C)
  • May: +1.5°F (+0.9°C)
  • June: +1.8°F (+1.0°C)
  • July: +2.0°F (+1.1°C)
  • August: +2.0°F (+1.1°C)
  • September: +1.9°F (+1.1°C)
  • October: +2.4°F (+1.3°C)
  • November: +2.3°F (+1.3°C)
  • December: +1.5°F (+0.8°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.