Adaptability of machine learning methods and hydrological models to discharge simulations in data-sparse glaciated watersheds

Near-Real-Time Forecast of Satellite-Based Soil Moisture Using Long Short-Term Memory with an Adaptive Data Integration Kernel

(2020) Kuai Fang et al.   JOURNAL OF HYDROMETEOROLOGY

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

(2020) Zhongrun Xiang et al.   WATER RESOURCES RESEARCH

Using the Budyko framework for calibrating a global hydrological model

(2020) P. Greve et al.   WATER RESOURCES RESEARCH

Streamflow forecasting using extreme gradient boosting model coupled with Gaussian mixture model

(2020) Lingling Ni et al.   JOURNAL OF HYDROLOGY

High temporal resolution rainfall–runoff modeling using long-short-term-memory (LSTM) networks

(2020) Wei Li et al.   NEURAL COMPUTING & APPLICATIONS

Enhancing streamflow forecast and extracting insights using long‐short term memory networks with data integration at continental scales

(2020) Dapeng Feng et al.   WATER RESOURCES RESEARCH

Increasing dependence of lowland populations on mountain water resources

(2020) Daniel Viviroli et al.   Nature Sustainability

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

Multi-Objective Calibration of a Distributed Hydrological Model in a Highly Glacierized Watershed in Central Asia

(2019) Huiping Ji et al.   Water

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

Evaluation and machine learning improvement of global hydrological model-based flood simulations

(2019) Tao Yang et al.   Environmental Research Letters

Canopy and Terrain Interactions Affecting Snowpack Spatial Patterns in the Sierra Nevada of California

(2019) Zeshi Zheng et al.   WATER RESOURCES RESEARCH

Importance and vulnerability of the world’s water towers

(2019) W. W. Immerzeel et al.   NATURE

Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning

(2019) Frederik Kratzert et al.   WATER RESOURCES RESEARCH

Trends and variability in streamflow and snowmelt runoff timing in the southern Tianshan Mountains

(2018) Yan-Jun Shen et al.   JOURNAL OF HYDROLOGY

Combination of lumped hydrological and remote-sensing models to evaluate water resources in a semi-arid high altitude ungauged watershed of Sierra Nevada (Southern Spain)

(2018) J. Jódar et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Unraveling the Hydrology of the Glacierized Kaidu Basin by Integrating Multisource Data in the Tianshan Mountains, Northwestern China

(2018) Yan-Jun Shen et al.   WATER RESOURCES RESEARCH

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

(2018) Chaopeng Shen   WATER RESOURCES RESEARCH

A hybrid support vector regression framework for streamflow forecast

(2018) Xiangang Luo et al.   JOURNAL OF HYDROLOGY

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

(2018) Caihong Hu et al.   Water

Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network

(2017) Kuai Fang et al.   GEOPHYSICAL RESEARCH LETTERS

Improved modeling of snow and glacier melting by a progressive two-stage calibration strategy with GRACE and multisource data: How snow and glacier meltwater contributes to the runoff of the Upper Brahmaputra River basin?

(2017) Xi Chen et al.   WATER RESOURCES RESEARCH

Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information

(2017) Tiantian Yang et al.   WATER RESOURCES RESEARCH

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Projections for headwater catchments of the Tarim River reveal glacier retreat and decreasing surface water availability but uncertainties are large

(2016) Doris Duethmann et al.   Environmental Research Letters

Effects of input discretization, model complexity, and calibration strategy on model performance in a data-scarce glacierized catchment in Central Asia

(2016) L. Tarasova et al.   WATER RESOURCES RESEARCH

Changes in Central Asia’s Water Tower: Past, Present and Future

(2016) Yaning Chen et al.   Scientific Reports

The value of multiple data set calibration versus model complexity for improving the performance of hydrological models in mountain catchments

(2015) David Finger et al.   WATER RESOURCES RESEARCH

Attribution of streamflow trends in snow and glacier melt-dominated catchments of the Tarim River, Central Asia

(2015) Doris Duethmann et al.   WATER RESOURCES RESEARCH

Heuristic Methods for Reservoir Monthly Inflow Forecasting: A Case Study of Xinfengjiang Reservoir in Pearl River, China

(2015) Chun-Tian Cheng et al.   Water

Increasing precipitation and baseflow in Aksu River since the 1950s

(2013) Yuting Fan et al.   QUATERNARY INTERNATIONAL

Streamflow Prediction in Ungauged Basins: Review of Regionalization Methods

(2012) Tara Razavi et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Stage and Discharge Forecasting by SVM and ANN Techniques

(2012) S. K. Aggarwal et al.   WATER RESOURCES MANAGEMENT

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

(2010) Holger R. Maier et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Analysis of parameter uncertainty in semi-distributed hydrological models using bootstrap method: A case study of SWAT model applied to Yingluoxia watershed in northwest China

(2010) Zhanling Li et al.   JOURNAL OF HYDROLOGY

Climate Change Will Affect the Asian Water Towers

(2010) W. W. Immerzeel et al.   SCIENCE

The altitudinal dependence of recent rapid warming over the Tibetan Plateau

(2009) Jun Qin et al.   CLIMATIC CHANGE