Work

Enhancing Multi-Step Runoff Forecasts Through Machine Learning and Climate-Informed Rainfall Prediction

Year: 2025

Type: article

Source: Earth Systems and Environment

DOI: 10.1007/s41748-025-00785-x

Authors: Nureehan Salaeh, Sirimon Pinthong, Quoc Bao Pham, Warit Wipulanusat, Uruya Weesakul, Suthira Thongkao, Nand Lal Kushwaha, Aqil Tariq, Shuraik Kader, Pakorn Ditthakit

Institutions: Walailak University, University of Silesia in Katowice, Thammasat University, Indian Council of Agricultural Research, Indian Agricultural Research Institute, Mississippi State University, Griffith University

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Clean water and sanitation

Open Access status: green

OpenAlex ID: W4413638825

FWCI: 0.23

Cites: 65

Cited by: 1

Related to: 10