Hydrologic Modelling

Abstract

Advances in computational tools and modelling techniques combined with enhanced process knowledge have, in recent
decades, facilitated a rapid progress in hydrologic modelling. From the use of traditional lumped models, the hydrologic
science has moved to the much more complex, fully distributed models that exude an enhanced knowledge of hydrologic
processes. Despite this progress, uncertainties in hydrologic predictions remain. The Indian contribution to hydrologic
science literature in the recent years has been significant, covering areas of surface water, groundwater, climate change
impacts and quantification of uncertainties. Future scientific efforts in hydrologic science in India are expected to involve
better, more robust observation techniques and datasets, deeper process-knowledge at a range of spatio-temporal scales,
understanding links between hydrologic and other natural and human systems, and integrated solutions using multidisciplinary
approaches.