Work

Can SEAS5 seasonal forecasts drive daily streamflow prediction? Machine learning experiments in Central Asian catchments

Year: 2026

Type: preprint

Source: SSRN Electronic Journal

DOI: 10.2139/ssrn.7540436

Authors: Diegopablo Pineda Schwarz, Didovets Iulii, Bijan Fallah, Tursyn Tillakarym

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: W7214716699

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