Sushant Mehan

TL;DR: In this paper, three commonly used weather generators (CLImate GENerator (CLIGEN), Long Ashton Research Station Weather Generator (LARS-WG), and Weather Generators (WeaGETS) were compared with regard to their ability to capture the essential statistical characteristics of observed data (distribution, occurrence of wet and dry spells, number of snow days, growing season temperatures, and growing degree days).

TL;DR: In this paper, the authors used SWAT model to simulate the stream flow for Skunk Creek (SK) watershed in South Dakota for the period from 1980-2000, and they performed both daily and monthly time periods using SUFI-2 within SWAT-CUP.

TL;DR: In this paper, the authors used three climate change scenarios to simulate the impact on local hydrology of a small agricultural watershed and found that the watershed is highly susceptible to hydrological and agricultural drought due to limited water availability.

TL;DR: In this article, a case study in an agricultural watershed in northeastern Indiana is presented which builds on the WEF Nexus Tool 2.0 framework and assessment criteria, and spatial and temporal analysis based on SWAT was implemented.

TL;DR: Evaluating the impact of changing climate on hydro-climatology and nutrient loadings in agricultural subsurface-drained areas on a watershed in northeastern Indiana under two different greenhouse gas emission scenarios provides valuable information for stakeholders and policy makers for planning management practices to protect water quality.