Exploring denoising diffusion probabilistic model for daily streamflow gap filling in Central Asia typical watersheds-Reference-Cited by-同舟云学术

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Exploring denoising diffusion probabilistic model for daily streamflow gap filling in Central Asia typical watersheds

Published:2024-04 Issue: Volume:52 Page:101701
ISSN:2214-5818
Container-title:Journal of Hydrology: Regional Studies
language:en
Short-container-title:Journal of Hydrology: Regional Studies

Author:

He Ganchang,Chen Yaning,Li Zhi,Fang Gonghuan,Zhu Jianyu,Liang Wenting

Funder

Youth Innovation Promotion Association of the Chinese Academy of Sciences

National Natural Science Foundation of China

Chinese Academy of Sciences

Publisher

Elsevier BV

Reference58 articles.

1. Using a spatio-temporal dynamic state-space model with the EM algorithm to patch gaps in daily riverflow series, with examples from the Volta Basin, West Africa;Amisigo;Hydrol. Earth Syst. Sci. Discuss.,2005

2. Impacts of climate change and climate variability on hydropower potential in data-scarce regions subjected to multi-decadal variability;Arriagada;Energies,2019

3. Automatic gap-filling of daily streamflow time series in data-scarce regions using a machine learning algorithm;Arriagada;J. Hydrol.,2021

4. Using ASTER satellite data calculate riparian evapotranspiration in the middle Rio Grande, New Mexico;Bawazir;Int. J. Remote Sens.,2009

5. On the probability of daily streamflow in the United States;Blum;Hydrol. Earth Syst. Sci.,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Testing protocols for smoothing datasets of hydraulic variables acquired during unsteady flows;Hydrological Sciences Journal;2024-09-05

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