Differences in extremes and uncertainties in future runoff simulations using SWAT and LSTM for SSP scenarios

• Main Authors: Song, Young Hoon, Chung, Eun Sung, Shahid, Shamsuddin
• Format: Article
• Published: Elsevier B.V. 2022
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/103964/; http://dx.doi.org/10.1016/j.scitotenv.2022.156162
• Institution: Universiti Teknologi Malaysia

This study compared the performance of Long Short-Term Memory networks (LSTM) and Soil Water Assessment Tool (SWAT) in simulating observed runoff and projecting future runoff using 11 CMIP6 GCMs. The projected runoff was estimated for two Shared Socioeconomic Pathways (SSPs), 2–4.5 and 5–8.5 for nea...