Improving medium-range streamflow forecasts over South Korea with a dual-encoder transformer model-Reference-Cited by-同舟云学术

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Improving medium-range streamflow forecasts over South Korea with a dual-encoder transformer model

Published:2024-09 Issue: Volume:368 Page:122114
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Lee Dong-Gi,Ahn Kuk-Hyun^ORCID

Publisher

Elsevier BV

Reference72 articles.

1. Incorporating climate model similarities and hydrologic error models to quantify climate change impacts on future riverine flood risk;Ahn;J. Hydrol.,2019

2. Future flood riverine risk analysis considering the heterogeneous impacts from tropical cyclone and non-tropical cyclone rainfalls: application to daily flows in the Nam River Basin, South Korea;Alcantara;Adv. Water Resour.,2021

3. GloFAS–global ensemble streamflow forecasting and flood early warning;Alfieri;Hydrol. Earth Syst. Sci.,2013

4. Hydrological drought forecasting using a deep transformer model;Amanambu;Water,2022

5. Neural machine translation by jointly learning to align and translate;Bahdanau;ArXiv Prepr. ArXiv14090473,2014

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