The Pakistan Meteorological Department (PMD) on Saturday forecast heavy rains with thunderstorms in most districts of Sindh including Karachi, warning of possible urban flooding and water logging in major urban centres of the province.
According to the latest advisory, the third spell of monsoon rains would cause heavy downpour in the port city from tonight and can continue till July 26, warning that thunderstorms with strong dusty winds are likely to accompany the rain.
It said that powerful thunderstorm with wind speed of up to 70 kilometres per hour could be witnessed, fearing that weak structures might get damaged as a result.
The met office requested all concerned authorities to remain alert during the forecast period and take necessary measures.
As per details, light showers were witnessed in some parts of Karachi on Saturday with the highest rain of 3mm recorded in Saddar whereas 1.5mm of rian was recorded in Gulshan-e-Hadeed.
The monsoon rains have wreaked havoc in the country with Sindh and Balochistan the most affected provinces lately.
Earlier, Federal Minister for Climate Change Sherry Rehman had revealed that Sindh and Balochistan have exceeded the 30-year average in July.
“Sindh is 625% above the 30 year[s] average, Balochistan 501. @pmdgov reports a further rise in heavy rainfall starting tomorrow (Thursday). Again the weather cycle will focus on Sindh, Balochistan for hi[gh] precipitation,” she wrote in a tweet.
The first column of the graph describes the maximum rainfall in different places from July 1 to 13. The other one shows the rainfall in 2022 during the same period in millimetres.
According to the graph, Balochistan records an average of 9.6mm of maximum rainfall from July 1 to 13. However, in the same period this year, the province received around 57.8mm of rainfall – 48.2mm more than usual.
Similarly, Sindh receives an average of 13.6mm of maximum rainfall from July 1 to 13. However this year during the same period, the province received a downpour of 98.3mm, which is 84.7mm more than its average.
The chart also compares other provinces in the same period.