Effective improvement of multi-step-ahead flood forecasting accuracy through encoder-decoder with an exogenous input structure-Reference-Cited by-同舟云学术

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Effective improvement of multi-step-ahead flood forecasting accuracy through encoder-decoder with an exogenous input structure

Published:2022-06 Issue: Volume:609 Page:127764
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Cui Zhen,Zhou Yanlai,Guo Shenglian,Wang Jun,Xu Chong-Yu

Funder

National Natural Science Foundation of China

Norges Forskningsråd

National Key Research and Development Program of China

China Three Gorges Corporation

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference59 articles.

1. Scheduled sampling for sequence prediction with recurrent neural networks;Bengio;In Adv. Neural Inf. Process. Syst.,2015

2. Daily vs. hourly simulation for estimating future flood peaks in mesoscale catchments;Beylich;Hydrol. Res.,2021

3. Advancing tracer-aided rainfall–runoff modelling: a review of progress, problems and unrealised potential;Birkel;Hydrol. Process.,2015

4. Impact of ENSO regimes on developing-and decaying-phase precipitation during rainy season in China;Cao;Hydrol. Earth Syst. Sci.,2017

5. Watershed rainfall forecasting using neuro-fuzzy networks with the assimilation of multi-sensor information;Chang;J. Hydrol.,2014

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