ClimateSearch

Ghotki, Sindh

Pakistan · 120k people · 70 m elevation · Northern 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 high72°F (22°C)78°F (25°C)88°F (31°C)99°F (37°C)108°F (42°C)109°F (43°C)104°F (40°C)100°F (38°C)99°F (37°C)95°F (35°C)85°F (29°C)76°F (24°C)
Average low49°F (10°C)54°F (12°C)63°F (17°C)72°F (22°C)80°F (27°C)85°F (29°C)85°F (30°C)83°F (28°C)79°F (26°C)71°F (21°C)61°F (16°C)52°F (11°C)
Dew point42°F (6°C)44°F (7°C)49°F (9°C)51°F (10°C)56°F (13°C)67°F (19°C)73°F (23°C)73°F (23°C)69°F (21°C)58°F (15°C)51°F (11°C)45°F (7°C)
Rainfall0.2 in (6 mm)0.3 in (7 mm)0.2 in (6 mm)0.2 in (6 mm)0.2 in (5 mm)0.2 in (5 mm)1.3 in (33 mm)2 in (52 mm)0.8 in (19 mm)0.1 in (2 mm)0.1 in (2 mm)0.2 in (5 mm)
Rainy days111121442101
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)
Sunshine309 h298 h336 h363 h393 h381 h371 h352 h333 h333 h300 h301 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

+1.5°F (+0.9°C)

Models range from +1.3°F (+0.7°C) to +1.7°F (+1.0°C)

Days above 90°F (32°C) a year

221 225

Roughly unchanged

Warming by month
  • January: +1.4°F (+0.8°C)
  • February: +1.1°F (+0.6°C)
  • March: +1.1°F (+0.6°C)
  • April: +0.8°F (+0.4°C)
  • May: +1.1°F (+0.6°C)
  • June: +1.4°F (+0.8°C)
  • July: +2.2°F (+1.2°C)
  • August: +1.0°F (+0.6°C)
  • September: −0.3°F (−0.1°C)
  • October: −0.2°F (−0.1°C)
  • November: +1.0°F (+0.6°C)
  • December: +1.5°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.