Prospective Interest of Deep Learning for Hydrological Inference

Defensible Model Complexity: A Call for Data-Based and Goal-Oriented Model Choice

(2017) Anneli Guthke   Groundwater

Changing the Prior Model Description in Bayesian Inversion of Hydrogeophysics Dataset

(2017) Giulia de Pasquale   Groundwater

Prediction-Focused Approaches: An Opportunity for Hydrology

(2017) Thomas Hermans   Groundwater

Defensible Model Complexity: A Call for Data-Based and Goal-Oriented Model Choice

(2017) Anneli Guthke   Groundwater

Changing the Prior Model Description in Bayesian Inversion of Hydrogeophysics Dataset

(2017) Giulia de Pasquale   Groundwater

Prediction-Focused Approaches: An Opportunity for Hydrology

(2017) Thomas Hermans   Groundwater

Deep vs. shallow networks: An approximation theory perspective

(2016) H. N. Mhaskar et al.   Analysis and Applications

Cyber-Innovated Watershed Research at the Shale Hills Critical Zone Observatory

(2016) Xuan Yu et al.   IEEE Systems Journal

Constitution of a catchment virtual observatory for sharing flow and transport models outputs

(2016) Zahra Thomas et al.   JOURNAL OF HYDROLOGY

A Deep Neural Network Modeling Framework to Reduce Bias in Satellite Precipitation Products

(2016) Yumeng Tao et al.   JOURNAL OF HYDROMETEOROLOGY

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Understanding deep convolutional networks

(2016) Stéphane Mallat   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Deep learning

(2015) Yann LeCun et al.   NATURE

On the optimal design of experiments for conceptual and predictive discrimination of hydrologic system models

(2015) C. P. Kikuchi et al.   WATER RESOURCES RESEARCH

Hydrocomplexity: Addressing water security and emergent environmental risks

(2015) Praveen Kumar   WATER RESOURCES RESEARCH

A unified approach for process-based hydrologic modeling: 1. Modeling concept

(2015) Martyn P. Clark et al.   WATER RESOURCES RESEARCH

The quantity and quality of information in hydrologic models

(2015) Grey S. Nearing et al.   WATER RESOURCES RESEARCH

A review of surrogate models and their application to groundwater modeling

(2015) M. J. Asher et al.   WATER RESOURCES RESEARCH

Process consistency in models: The importance of system signatures, expert knowledge, and process complexity

(2014) M. Hrachowitz et al.   WATER RESOURCES RESEARCH

Searching for exotic particles in high-energy physics with deep learning

(2014) P. Baldi et al.   Nature Communications

A general framework for Dynamic Emulation Modelling in environmental problems

(2012) A. Castelletti et al.   ENVIRONMENTAL MODELLING & SOFTWARE

HydroDesktop: Web services-based software for hydrologic data discovery, download, visualization, and analysis

(2012) Daniel P. Ames et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Predictive modelling of hydraulic head responses to dipole flow experiments in a fractured/karstified limestone aquifer: Insights from a comparison of five modelling approaches to real-field experiments

(2012) Jacques Bodin et al.   JOURNAL OF HYDROLOGY

Review of surrogate modeling in water resources

(2012) Saman Razavi et al.   WATER RESOURCES RESEARCH

Towards a comprehensive assessment of model structural adequacy

(2012) Hoshin V. Gupta et al.   WATER RESOURCES RESEARCH

Distilling Free-Form Natural Laws from Experimental Data

(2009) Michael Schmidt et al.   SCIENCE

Integrating a calibrated groundwater flow model with error-correcting data-driven models to improve predictions

(2008) Yonas K. Demissie et al.   JOURNAL OF HYDROLOGY