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Get the Rawalpindi, Punjab local weather forecast by the hour and the next 10 days.
On a typical day, the city hosts breezy afternoons (30 kilometres per hour (19 mph)+), but usually calm to light breeze (Beaufort scale) wind conditions are observed after midnight. The mean annual wind speed of Rawalpindi is roughly 10 kilometres per hour (6.2 mph) at 14 m height. Moreover, just a few kilometers southwest of Rawalpindi, the ...
August 30, 2024 at 3:25 AM. RAWALPINDI, Pakistan (AP) — Persistent rain washed out the opening day of the second test match between Pakistan and Bangladesh at the Rawalpindi Cricket Stadium on ...
The day is considered from sunrise to next sunrise and for the first day of the solar months, the Orissa rule is observed: day 1 of the month occurs on the day of the transition of monthly constellations, or sangrānd in Punjabi. [13] [14] The Punjabi Calendar stands as a timeless emblem of tradition within the vibrant tapestry of Punjabi culture.
Website. pmd.gov.pk. The Pakistan Meteorological Department (PMD) (Urdu: محکمہ موسمیات پاکستان, also known as Pakistan Met Office[3][4]), is an autonomous and independent institution tasked with providing weather forecasts and public warnings concerning weather for protection, safety and general information. [1]
Along the coastal strip, the climate is modified by sea breeze. In the rest of the country, temperatures reach great heights in the summer; the mean temperature during June is 38 °C (100 °F) in the plains, the highest temperatures can exceed 53 °C (127 °F). During summer, hot winds called Loo blow across the plains during the day.
Rawalpindi (/ rɔːlˈpɪndi /; Punjabi, Urdu: راولپنڈی, romanized:Rāwalpinḍī; pronounced [ɾɑːʋəlpɪnɖiː] ⓘ [ 5 ]), colloquially known as Pindi, is the third-largest city in the Pakistani province of Punjab. It is a commercial and metropolitan city, being the fourth most populous in Pakistan. It is located near the Soan ...
Microsoft's Aurora system offers global 10-day weather and 5-day air pollution (CO 2, NO, NO 2, SO 2, O 3, and particulates) forecasts with claimed accuracy similar to physics-based models, but at orders-or-magnitude lower cost. Aurora was trained on more than a million hours of data from six weather/climate models. [83] [84]
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