ClimateSearch

Santana, Amapá

Brazil · 119k people · 13 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)83°F (28°C)83°F (28°C)83°F (28°C)83°F (29°C)84°F (29°C)85°F (29°C)87°F (30°C)89°F (31°C)90°F (32°C)89°F (32°C)87°F (30°C)
Average low74°F (23°C)74°F (23°C)74°F (23°C)74°F (23°C)74°F (24°C)74°F (24°C)74°F (24°C)76°F (24°C)76°F (25°C)77°F (25°C)77°F (25°C)76°F (24°C)
Dew point73°F (23°C)73°F (23°C)74°F (23°C)74°F (23°C)74°F (24°C)74°F (23°C)74°F (23°C)74°F (23°C)73°F (23°C)72°F (22°C)73°F (23°C)73°F (23°C)
Rainfall9.1 in (231 mm)11.1 in (282 mm)13.6 in (345 mm)13.4 in (340 mm)12.5 in (317 mm)7 in (178 mm)5.1 in (130 mm)2.4 in (61 mm)1 in (26 mm)0.7 in (18 mm)1.2 in (30 mm)4.3 in (109 mm)
Rainy days272629292926251795719
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)
Sunshine275 h220 h236 h222 h263 h304 h331 h343 h343 h363 h344 h322 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

+1.6°F (+0.9°C)

Models range from +0.6°F (+0.3°C) to +3.3°F (+1.8°C)

Days above 90°F (32°C) a year

31 49

About 1.6× as many

Warming by month
  • January: +1.3°F (+0.7°C)
  • February: +2.0°F (+1.1°C)
  • March: +2.0°F (+1.1°C)
  • April: +2.4°F (+1.3°C)
  • May: +2.0°F (+1.1°C)
  • June: +1.8°F (+1.0°C)
  • July: +2.1°F (+1.2°C)
  • August: +2.2°F (+1.2°C)
  • September: +2.3°F (+1.3°C)
  • October: +2.3°F (+1.3°C)
  • November: +2.3°F (+1.3°C)
  • December: +1.6°F (+0.9°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.