The CAREER program of the National Science Foundation, the U. S. Agency for International Development and the Department of Earth Sciences in India funded the study.Niyogi, UC Mohanty, a professor at the Center for Atmospheric Sciences at the Indian Institute of Technology and a PhD student Mohanty, Ashish Routray on, has collaborated with scientists at the National Center for Atmospheric Research and gathered information such as radial velocity and reflectivity of six Doppler weather radars that were in place during storms. Through research and forecasting model of the time, they found that the inclusion of information based on Doppler radar landing a reduction of errors during the monsoon depression of 200 km to 75 km.
Dev Niyogi, Purdue associate professor of agronomy and earth and atmospheric sciences, said that the modeling of a piece of the monsoon may have a margin of error of about 200 km to reach the ground, which may be important for the storms producing up to 20 to 25 inches of rain and flooding inland, and death.
Monsoons account for 80 % of the rain India receives each year. Mohanty said more accurate predictions would better prepare people for heavy rains are a number of deaths in a monsoon season.
Doppler radar significantly improve forecasting models used to monitor the monsoon systems affect the monsoon in and around India, according to a research collaboration, including Purdue University, National Center for Atmospheric Research and the Indian Institute of Technology Delhi.
The researchers modeled monsoon depressions and published their findings in the Quarterly Journal of the Royal Meteorological Society. Future studies will include more advanced models and simulations to test the ability of Doppler radar to track the progress of the monsoon. Niyogi said the techniques and tools developed could also help predict landfall of tropical storm systems that hit the Caribbean and the United States.