Shimla, (Samajweekly) Himachal Pradesh will soon have complete coverage of scientific data for weather forecasting as the state mulls to set up two more Doppler radar stations in Kinnaur and Lahaul-Spiti districts to predict the weather, an official statement said on Monday.
This step will enhance the alert system to predict future weather trends, while alerting meteorologists to upcoming precipitation, storms, or severe weather, which will help adopting the safety measures much in advance.
Recently, two Doppler radar stations at Jot in Chamba district and Murari Devi in Mandi district have been established, enabling 70 per cent state being covered. These stations can generate scientific data on the severity of weather in a radius of 100 km each and with the establishment of two more stations the coverage of the state will be ensured for weather forecasting well in time.
The Doppler radar technology will enable the meteorologists to accurately forecast the arrival of precipitation and ability to forecast the location, the intensity and severity of the bad weather and to highlight whether there’s a high or low probability of danger to life and property.
The frequent occurrence of heavy rains, thunderstorms and hailstorms in Himachal, makes it even more pertinent to have these radar stations, thereby enhancing the weather monitoring capabilities, enabling the administration to make early arrangements to mitigate damages caused by disasters and to ensure safety of life.
Chief Minister Sukhvinder Sukhu said the matter has been raised to set up these new stations with the Union government and the process for set up was well in its advanced stage.
He said the state government was committed to leveraging cutting-edge technology for the benefit of the people.
Apart from setting up Doppler radar stations, the government is also focusing on establishing high-tech seismic observatory-cum-data analysis centres in Kangra and Hamirpur districts with the help of the Union government.
The observatory and data analysis centres will aid in the early detection and warning of earthquakes, which can potentially save lives and minimise damages.
