ClimateSearch

Marabá, Pará

Brazil · 284k people · 93 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 high84°F (29°C)84°F (29°C)84°F (29°C)84°F (29°C)85°F (30°C)88°F (31°C)90°F (32°C)92°F (33°C)92°F (34°C)91°F (33°C)88°F (31°C)86°F (30°C)
Average low73°F (23°C)73°F (23°C)73°F (23°C)74°F (23°C)74°F (23°C)73°F (23°C)73°F (23°C)74°F (23°C)76°F (24°C)76°F (24°C)75°F (24°C)74°F (23°C)
Dew point74°F (23°C)74°F (23°C)74°F (23°C)74°F (24°C)74°F (23°C)71°F (22°C)67°F (20°C)66°F (19°C)69°F (21°C)72°F (22°C)74°F (23°C)74°F (23°C)
Rainfall11.3 in (286 mm)10.9 in (278 mm)11.9 in (303 mm)8.7 in (221 mm)4.9 in (124 mm)1 in (26 mm)0.5 in (12 mm)0.3 in (6 mm)0.9 in (22 mm)2.8 in (71 mm)5.6 in (141 mm)8.5 in (216 mm)
Rainy days29272926175224111825
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)
Sunshine260 h227 h250 h264 h312 h327 h338 h346 h346 h350 h306 h291 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

+1.2°F (+0.7°C)

Models range from +0.9°F (+0.5°C) to +1.6°F (+0.9°C)

Days above 90°F (32°C) a year

98 137

About 1.4× as many

Warming by month
  • January: +1.1°F (+0.6°C)
  • February: +1.4°F (+0.8°C)
  • March: +1.7°F (+1.0°C)
  • April: +1.5°F (+0.9°C)
  • May: +1.6°F (+0.9°C)
  • June: +1.5°F (+0.9°C)
  • July: +1.9°F (+1.1°C)
  • August: +2.6°F (+1.4°C)
  • September: +2.9°F (+1.6°C)
  • October: +3.3°F (+1.8°C)
  • November: +2.4°F (+1.4°C)
  • December: +1.2°F (+0.6°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.