ClimateSearch

Kunri, Sindh

Pakistan · 237k people · 12 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 high79°F (26°C)86°F (30°C)95°F (35°C)103°F (40°C)107°F (41°C)104°F (40°C)97°F (36°C)94°F (35°C)96°F (36°C)98°F (37°C)91°F (33°C)82°F (28°C)
Average low47°F (8°C)53°F (12°C)62°F (17°C)71°F (22°C)78°F (26°C)82°F (28°C)81°F (27°C)79°F (26°C)77°F (25°C)70°F (21°C)59°F (15°C)50°F (10°C)
Dew point42°F (5°C)44°F (6°C)49°F (9°C)55°F (13°C)65°F (19°C)72°F (22°C)74°F (23°C)74°F (23°C)71°F (21°C)59°F (15°C)49°F (10°C)43°F (6°C)
Rainfall0.1 in (3 mm)0.1 in (3 mm)0.1 in (3 mm)0.1 in (3 mm)0.1 in (3 mm)0.4 in (11 mm)4.1 in (103 mm)2.8 in (71 mm)1.5 in (39 mm)0.2 in (5 mm)0 in (1 mm)0.1 in (1 mm)
Rainy days101001432000
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)
Sunshine274 h258 h281 h301 h344 h295 h190 h171 h249 h299 h264 h266 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

+1.7°F (+1.0°C)

Models range from +0.9°F (+0.5°C) to +2.4°F (+1.3°C)

Days above 90°F (32°C) a year

237 → 247

Roughly unchanged

Warming by month
  • January: +1.0°F (+0.6°C)
  • February: +0.9°F (+0.5°C)
  • March: +0.8°F (+0.5°C)
  • April: +0.8°F (+0.5°C)
  • May: +0.9°F (+0.5°C)
  • June: +1.3°F (+0.7°C)
  • July: +2.7°F (+1.5°C)
  • August: +1.2°F (+0.7°C)
  • September: +0.3°F (+0.2°C)
  • October: −0.1°F (−0.1°C)
  • November: +0.6°F (+0.4°C)
  • December: +1.3°F (+0.7°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.