Physics-guided deep learning for rainfall-runoff modeling by considering extreme events and monotonic relationships

Assessment of the Advanced Very High-Resolution Radiometer (AVHRR) for Snowfall Retrieval in High Latitudes Using CloudSat and Machine Learning

(2021) Mohammad Reza Ehsani et al.   JOURNAL OF HYDROMETEOROLOGY

Can Deep Learning Extract Useful Information about Energy Dissipation and Effective Hydraulic Conductivity from Gridded Conductivity Fields?

(2021) Mohammad A. Moghaddam et al.   Water

Special Issue: Advances in Architectures and Theories for Computer Vision

(2020) Yair Weiss et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Verification of a New Spatial Distribution Function of Soil Water Storage Capacity Using Conceptual and SWAT Models

(2020) Kang Xie et al.   JOURNAL OF HYDROLOGIC ENGINEERING

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

Recursive Bayesian Estimation of Conceptual Rainfall‐Runoff Model Errors in Real‐Time Prediction of Streamflow

(2020) M. Tajiki et al.   WATER RESOURCES RESEARCH

Deep learning of subsurface flow via theory-guided neural network

(2020) Nanzhe Wang et al.   JOURNAL OF HYDROLOGY

Machine learning assisted hybrid models can improve streamflow simulation in diverse catchments across the conterminous US

(2020) Goutam Konapala et al.   Environmental Research Letters

Improving AI System Awareness of Geoscience Knowledge: Symbiotic Integration of Physical Approaches and Deep Learning

(2020) Shijie Jiang et al.   GEOPHYSICAL RESEARCH LETTERS

Reducing lake water-level decline by optimizing reservoir operating rule curves: A case study of the Three Gorges Reservoir and the Dongting Lake

(2020) Xiao Li et al.   JOURNAL OF CLEANER PRODUCTION

Rainfall-runoff modeling through regression in the reproducing kernel Hilbert space algorithm

(2020) Mir Jafar Sadegh Safari et al.   JOURNAL OF HYDROLOGY

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

Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization

(2020) Yazid Tikhamarine et al.   JOURNAL OF HYDROLOGY

Evaluation of baseflow modelling structure in monthly water balance models using 443 Australian catchments

(2020) Shujie Cheng et al.   JOURNAL OF HYDROLOGY

Multi-step wind speed prediction by combining a WRF simulation and an error correction strategy

(2020) Weifeng Xu et al.   RENEWABLE ENERGY

What Role Does Hydrological Science Play in the Age of Machine Learning?

(2020) Grey S. Nearing et al.   WATER RESOURCES RESEARCH

Identification of spatially distributed parameters of hydrological models using the dimension-adaptive key grid calibration strategy

(2020) Kang Xie et al.   JOURNAL OF HYDROLOGY

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

Process‐Guided Deep Learning Predictions of Lake Water Temperature

(2019) Jordan S. Read et al.   WATER RESOURCES RESEARCH

Error correction-based forecasting of reservoir water levels: Improving accuracy over multiple lead times

(2018) Xiaojing Zhang et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Upper and lower benchmarks in hydrological modelling

(2018) Jan Seibert et al.   HYDROLOGICAL PROCESSES

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Assessing the potential robustness of conceptual rainfall-runoff models under a changing climate

(2018) Danlu Guo et al.   WATER RESOURCES RESEARCH

Near real-time assimilation of SAR derived flood maps for improving flood forecasts.

(2018) Renaud Hostache 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

Incorporating reservoir impacts into flood frequency distribution functions

(2018) Shida Gao 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

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

(2017) Anuj Karpatne et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Benchmarking of a Physically Based Hydrologic Model

(2017) Andrew J. Newman et al.   JOURNAL OF HYDROMETEOROLOGY

A survey of deep neural network architectures and their applications

(2017) Weibo Liu et al.   NEUROCOMPUTING

Introduction to Physical Hydrology

(2014) Mark Robinson   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

(2009) Hoshin V. Gupta et al.   JOURNAL OF HYDROLOGY

A process-based diagnostic approach to model evaluation: Application to the NWS distributed hydrologic model

(2008) Koray K. Yilmaz et al.   WATER RESOURCES RESEARCH