Assessing spatial connectivity effects on daily streamflow forecasting using Bayesian-based graph neural network

Predicting runoff series in ungauged basins of the Brazilian Cerrado biome

(2022) Daniel Althoff et al.   ENVIRONMENTAL MODELLING & SOFTWARE

A stochastic conceptual-data-driven approach for improved hydrological simulations

(2022) John M. Quilty et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Short-term runoff prediction using deep learning multi-dimensional ensemble method

(2022) Guanjun Liu et al.   JOURNAL OF HYDROLOGY

Directed graph deep neural network for multi-step daily streamflow forecasting

(2022) Yongqi Liu et al.   JOURNAL OF HYDROLOGY

Daily streamflow forecasting in Sobradinho Reservoir using machine learning models coupled with wavelet transform and bootstrapping

(2021) Samuel Vitor Saraiva et al.   APPLIED SOFT COMPUTING

Daily runoff forecasting by deep recursive neural network

(2021) Jiangwei Zhang et al.   JOURNAL OF HYDROLOGY

Flow interval prediction based on deep residual network and lower and upper boundary estimation method

(2021) Le Yan et al.   APPLIED SOFT COMPUTING

A deep learning model for predicting river flood depth and extent

(2021) Hossein Hosseiny   ENVIRONMENTAL MODELLING & SOFTWARE

Enhancing robustness of monthly streamflow forecasting model using gated recurrent unit based on improved grey wolf optimizer

(2021) Xuehua Zhao et al.   JOURNAL OF HYDROLOGY

A hybrid deep learning algorithm and its application to streamflow prediction

(2021) Yongen Lin et al.   JOURNAL OF HYDROLOGY

Explore Spatio‐Temporal Learning of Large Sample Hydrology Using Graph Neural Networks

(2021) Alexander Y. Sun et al.   WATER RESOURCES RESEARCH

A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning

(2020) Zhongrun Xiang et al.   WATER RESOURCES RESEARCH

Extreme subsidence in a populated city (Mashhad) detected by PSInSAR considering groundwater withdrawal and geotechnical properties

(2020) Mohammad Khorrami et al.   Scientific Reports

Distributed long-term hourly streamflow predictions using deep learning – A case study for State of Iowa

(2020) Zhongrun Xiang et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation

(2020) Shuai Gao et al.   JOURNAL OF HYDROLOGY

A Comprehensive Survey on Graph Neural Networks

(2020) Zonghan Wu et al.   IEEE Transactions on Neural Networks and Learning Systems

Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems

(2019) Xiaohu Wen et al.   JOURNAL OF HYDROLOGY

Can machines learn to predict weather? Using deep learning to predict gridded 500‐hPa geopotential height from historical weather data

(2019) Jonathan A. Weyn et al.   Journal of Advances in Modeling Earth Systems

Probabilistic spatiotemporal wind speed forecasting based on a variational Bayesian deep learning model

(2019) Yongqi Liu et al.   APPLIED ENERGY

Real-time reservoir operation using recurrent neural networks and inflow forecast from a distributed hydrological model

(2019) Shuyu Yang et al.   JOURNAL OF HYDROLOGY

Monthly streamflow forecasting based on hidden Markov model and Gaussian Mixture Regression

(2018) Yongqi Liu et al.   JOURNAL OF HYDROLOGY

Streamflow and Hydrological Drought Trend Analysis and Forecasting in Cyprus

(2018) Dimitrios Myronidis et al.   WATER RESOURCES MANAGEMENT

A trans-disciplinary review of deep learning research and its relevance for water resources scientists

(2018) Chaopeng Shen   WATER RESOURCES RESEARCH

The importance of aspect for modelling the hydrological response in a glacier catchment in Central Asia

(2017) Hongkai Gao et al.   HYDROLOGICAL PROCESSES

Comparison of random forests and other statistical methods for the prediction of lake water level: a case study of the Poyang Lake in China

(2016) B. Li et al.   HYDROLOGY RESEARCH

Comparison of random forests and other statistical methods for the prediction of lake water level: a case study of the Poyang Lake in China

(2016) B. Li et al.   Hydrology Research

Are hybrid models integrated with data preprocessing techniques suitable for monthly streamflow forecasting? Some experiment evidences

(2015) Xiaoli Zhang et al.   JOURNAL OF HYDROLOGY

Data-Enabled Field Experiment Planning, Management, and Research Using Cyberinfrastructure

(2015) Ibrahim Demir et al.   JOURNAL OF HYDROMETEOROLOGY

Multi-step streamflow forecasting using data-driven non-linear methods in contrasting climate regimes

(2015) Daniel J. Karran et al.   JOURNAL OF HYDROINFORMATICS

A two stage Bayesian stochastic optimization model for cascaded hydropower systems considering varying uncertainty of flow forecasts

(2014) Wei Xu et al.   WATER RESOURCES RESEARCH

Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir

(2012) Mohammad Valipour et al.   JOURNAL OF HYDROLOGY

Classification and regression trees

(2011) Wei-Yin Loh   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Multivariate Bayesian Regression Approach to Forecast Releases from a System of Multiple Reservoirs

(2010) Andres M. Ticlavilca et al.   WATER RESOURCES MANAGEMENT