ClimateSearch

Santarém, Pará

Brazil · 361k people · 50 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 high86°F (30°C)85°F (30°C)85°F (30°C)85°F (29°C)85°F (30°C)86°F (30°C)86°F (30°C)89°F (32°C)89°F (32°C)90°F (32°C)89°F (32°C)89°F (31°C)
Average low73°F (23°C)72°F (22°C)72°F (22°C)73°F (23°C)73°F (23°C)72°F (22°C)71°F (22°C)73°F (23°C)74°F (23°C)74°F (23°C)74°F (23°C)74°F (23°C)
Dew point74°F (23°C)74°F (23°C)74°F (23°C)74°F (24°C)74°F (24°C)74°F (23°C)74°F (23°C)74°F (23°C)74°F (23°C)73°F (23°C)74°F (23°C)74°F (23°C)
Rainfall9 in (228 mm)11.6 in (294 mm)16.2 in (411 mm)14.4 in (366 mm)11.2 in (283 mm)5.3 in (136 mm)3.2 in (82 mm)1.6 in (41 mm)1 in (24 mm)1.6 in (41 mm)2.6 in (67 mm)4.4 in (111 mm)
Rainy days1921242422137323610
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)
Sunshine147 h121 h121 h113 h144 h201 h236 h248 h233 h216 h183 h177 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 +2.3°F (+1.3°C)

Days above 90°F (32°C) a year

19 → 32

About 1.7× as many

Warming by month
  • January: +1.1°F (+0.6°C)
  • February: +1.4°F (+0.8°C)
  • March: +1.3°F (+0.7°C)
  • April: +1.5°F (+0.9°C)
  • May: +1.4°F (+0.8°C)
  • June: +1.6°F (+0.9°C)
  • July: +1.8°F (+1.0°C)
  • August: +2.2°F (+1.2°C)
  • September: +2.8°F (+1.6°C)
  • October: +2.8°F (+1.6°C)
  • November: +2.0°F (+1.1°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.