Improved runoff forecasting performance through error predictions using a deep-learning approach

Exploring a Long Short-Term Memory based Encoder-Decoder Framework for Multi-Step-Ahead Flood Forecasting

(2020) I-Feng Kao et al.   JOURNAL OF HYDROLOGY

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

(2020) Zhongrun Xiang et al.   WATER RESOURCES RESEARCH

Comparison of Long Short Term Memory Networks and the Hydrological Model in Runoff Simulation

(2020) Hongxiang Fan et al.   Water

Modeling Streamflow Enhanced by Precipitation from Atmospheric River Using the NOAA National Water Model: A Case Study of the Russian River Basin for February 2004

(2019) Heechan Han et al.   Atmosphere

Hybrid machine learning framework for hydrological assessment

(2019) Jungho Kim et al.   JOURNAL OF HYDROLOGY

Development of Water Level Prediction Models Using Machine Learning in Wetlands: A Case Study of Upo Wetland in South Korea

(2019) Changhyun Choi et al.   Water

Dynamic Neural Network Modelling of Soil Moisture Content for Predictive Irrigation Scheduling

(2018) Olutobi Adeyemi et al.   SENSORS

Flood Prediction Using Machine Learning Models: Literature Review

(2018) Amir Mosavi et al.   Water

Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation

(2018) Caihong Hu et al.   Water

Estimation of soil temperature from meteorological data using different machine learning models

(2018) Yu Feng et al.   GEODERMA

Machine learning algorithms for modeling groundwater level changes in agricultural regions of the U.S.

(2017) S. Sahoo et al.   WATER RESOURCES RESEARCH

Application of BP Neural Network Algorithm in Traditional Hydrological Model for Flood Forecasting

(2017) Jianjin Wang et al.   Water

Uncertainty analysis of a spatially-distributed hydrological model with rainfall multipliers

(2016) Arpana Rani Datta et al.   CANADIAN JOURNAL OF CIVIL ENGINEERING

Uncertainty in rainfall input data in a conceptual water balance model: effects on outputs and implications for predictability

(2015) Enrique Muñoz et al.   Earth Sciences Research Journal

Runoff Estimation by Machine Learning Methods and Application to the Euphrates Basin in Turkey

(2013) Abdullah Gokhan Yilmaz et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Development of an effective data-driven model for hourly typhoon rainfall forecasting

(2013) Gwo-Fong Lin et al.   JOURNAL OF HYDROLOGY

Sensitivity of hydrological models to uncertainty in rainfall input

(2011) Patrick Arnaud et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Rainfall uncertainty in hydrological modelling: An evaluation of multiplicative error models

(2011) Hilary McMillan et al.   JOURNAL OF HYDROLOGY

A fuzzy-based simulation method for modelling hydrological processes under uncertainty

(2010) Y. Huang et al.   HYDROLOGICAL PROCESSES

Parameter and modeling uncertainty simulated by GLUE and a formal Bayesian method for a conceptual hydrological model

(2010) Xiaoli Jin et al.   JOURNAL OF HYDROLOGY

Evaluation of the subjective factors of the GLUE method and comparison with the formal Bayesian method in uncertainty assessment of hydrological models

(2010) Lu Li et al.   JOURNAL OF HYDROLOGY

Tree-based reinforcement learning for optimal water reservoir operation

(2010) A. Castelletti et al.   WATER RESOURCES RESEARCH

Model output uncertainty of a coupled pathogen indicator–hydrologic catchment model due to input data uncertainty

(2008) S. Haydon et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation

(2008) Jasper A. Vrugt et al.   WATER RESOURCES RESEARCH

Data-driven modelling: some past experiences and new approaches

(2007) Dimitri P. Solomatine et al.   JOURNAL OF HYDROINFORMATICS