We study the problem of finding a shortest descending path (SDP) between a pair of points, called source (s) and destination (t), on the surface of a triangulated convex terrain with n faces. A path from s to t on a polyhedral terrain is descending if the height of a point p never increases while we move p along the path from s to t. Time and space complexity requirement of our algorithm are O (μ(n) log n) and O (τ (n)), respectively. Here μ(n) and τ (n) are time and space complexity requirement for finding shortest geodesic path (SGP) between a pair of points on the surface of a convex polyhedra. The best known bounds on μ(n) and τ (n) are both O (n log n) due to Schreiber and Sharir (2008) [11]. Earlier best known time and space complexity results of SDP on convex terrain were O (n 2 log n) and O (n 2 ), respectively, and appears in Roy et al. (2007) [10]. Thus our algorithm improves both time and space complexity requirement of SDP problem by almost a linear factor over earlier best known results.