Development of machine learning models for estimation of daily evaporation and mean temperature: a case study in New Delhi, India

• Main Authors: Rajput J., Kushwaha N.L., Srivastava A., Pande C.B., Suna T., Sena D.R., Singh D.K., Mishra A.K., Sahoo P.K., Elbeltagi A.
• Other Authors: 57211190879
• Format: Article
• Published: IWA Publishing 2025
• Subjects: Resource allocation; Water management; Evaporation temperature; Index values; Mean absolute error; Mean temperature; Model testing; Pan evaporation; Performance indices; Prediction indices; Testing phase; Water resources management; Prediction models

Accurate prediction of pan evaporation and mean temperature is crucial for effective water resources management, influencing the hydrological cycle and impacting water availability. This study focused on New Delhi?s semi-arid climate, data spanning 31 years (1990?2020) were used to predict these var...