This study aims to document the strengths and shortcomings of forecast strategy being developed based on dynamical downscaling for better extended range prediction of extreme weather events.

The present study was planned with an objective to detect the level of heavy metals in feathers of House Crow from agrifield areas of district Ludhiana and Sangrur. In feathers of House Crow, 8 heavy metals were detected through ICAP-AES, out of which As, Cd, Pb were heavy metals and Cr, Cu, Ni, Zn, Mn were essential elements. The concentration of all metals varied significantly at .05% level of significance among the different districts.