Frontiers in Water | Water and Artificial Intelligence

Original Research

Published on 23 Jun 2023

Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations

in Water and Artificial Intelligence

Jacob A. Zwart
Jeremy Diaz
Scott Hamshaw
Samantha Oliver
Jesse C. Ross
Margaux Sleckman
Alison P. Appling
Hayley Corson-Dosch
Xiaowei Jia
Jordan Read

Frontiers in Water

doi 10.3389/frwa.2023.1184992

2,132 views
2 citations

Original Research

Published on 05 Jun 2023

Predicting streamflow with LSTM networks using global datasets

in Water and Artificial Intelligence

Katharina Wilbrand
Riccardo Taormina
Marie-Claire ten Veldhuis
Martijn Visser
Markus Hrachowitz
Jonathan Nuttall
Ruben Dahm

Frontiers in Water

doi 10.3389/frwa.2023.1166124

3,880 views
14 citations

Editorial

Published on 01 Jun 2023

Editorial: Data-driven machine learning for advancing hydrological and hydraulic predictability

in Water and Artificial Intelligence

Dan Lu
Tiantian Yang
Xiaofeng Liu

Frontiers in Water

doi 10.3389/frwa.2023.1215966

2,129 views

Original Research

Published on 24 May 2023

Deep learning of model- and reanalysis-based precipitation and pressure mismatches over Europe

in Water and Artificial Intelligence

Kaveh Patakchi Yousefi
Stefan Kollet

Frontiers in Water

doi 10.3389/frwa.2023.1178114

2,626 views
3 citations

Original Research

Published on 21 Apr 2023

Uncertainty quantification of machine learning models to improve streamflow prediction under changing climate and environmental conditions

in Water and Artificial Intelligence

Siyan Liu
Dan Lu
Scott L. Painter
Natalie A. Griffiths
Eric M. Pierce

Frontiers in Water

doi 10.3389/frwa.2023.1150126

4,555 views
9 citations

Original Research

Published on 17 Apr 2023

Short-term runoff forecasting in an alpine catchment with a long short-term memory neural network

in Water and Artificial Intelligence

Corinna Frank
Marc Rußwurm
Javier Fluixa-Sanmartin
Devis Tuia

Frontiers in Water

doi 10.3389/frwa.2023.1126310

2,038 views
3 citations

Original Research

Published on 22 Mar 2023

Hydraulic head change predictions in groundwater models using a probabilistic neural network

in Water and Artificial Intelligence

Mathias Busk Dahl
Troels Norvin Vilhelmsen
Torben Bach
Thomas Mejer Hansen

Frontiers in Water

doi 10.3389/frwa.2023.1028922

1,721 views
1 citation

Original Research

Published on 21 Mar 2023

Simulating hydrological extremes for different warming levels–combining large scale climate ensembles with local observation based machine learning models

in Water and Artificial Intelligence

Sandra M. Hauswirth
Karin van der Wiel
Marc F. P. Bierkens
Vincent Beijk
Niko Wanders

Frontiers in Water

doi 10.3389/frwa.2023.1108108

2,092 views
2 citations

Original Research

Published on 14 Mar 2023

Investigation of hydrometeorological influences on reservoir releases using explainable machine learning methods

in Water and Artificial Intelligence

Ming Fan
Lujun Zhang
Siyan Liu
Tiantian Yang
Dan Lu

Frontiers in Water

doi 10.3389/frwa.2023.1112970

2,231 views
10 citations

Original Research

Published on 14 Mar 2023

Super-resolution and uncertainty estimation from sparse sensors of dynamical physical systems

in Water and Artificial Intelligence

Adam M. Collins
Peter Rivera-Casillas
Sourav Dutta
Orie M. Cecil
Andrew C. Trautz
Matthew W. Farthing

Frontiers in Water

doi 10.3389/frwa.2023.1137110

1,664 views
4 citations

Original Research

Published on 08 Dec 2022

Seasonal prediction of Horn of Africa long rains using machine learning: The pitfalls of preselecting correlated predictors

in Water and Artificial Intelligence

Victoria M. H. Deman
Akash Koppa
Willem Waegeman
David A. MacLeod
Michael Bliss Singer
Diego G. Miralles

Frontiers in Water

doi 10.3389/frwa.2022.1053020

2,668 views
9 citations

Original Research

Published on 27 Jun 2022

Interpreting Deep Machine Learning for Streamflow Modeling Across Glacial, Nival, and Pluvial Regimes in Southwestern Canada

in Water and Artificial Intelligence

Sam Anderson
Valentina Radić

Frontiers in Water

doi 10.3389/frwa.2022.934709

4,326 views
9 citations

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Articles

Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations

Predicting streamflow with LSTM networks using global datasets

Editorial: Data-driven machine learning for advancing hydrological and hydraulic predictability

Deep learning of model- and reanalysis-based precipitation and pressure mismatches over Europe

Uncertainty quantification of machine learning models to improve streamflow prediction under changing climate and environmental conditions

Short-term runoff forecasting in an alpine catchment with a long short-term memory neural network

Hydraulic head change predictions in groundwater models using a probabilistic neural network

Simulating hydrological extremes for different warming levels–combining large scale climate ensembles with local observation based machine learning models

Investigation of hydrometeorological influences on reservoir releases using explainable machine learning methods

Super-resolution and uncertainty estimation from sparse sensors of dynamical physical systems

Seasonal prediction of Horn of Africa long rains using machine learning: The pitfalls of preselecting correlated predictors

Interpreting Deep Machine Learning for Streamflow Modeling Across Glacial, Nival, and Pluvial Regimes in Southwestern Canada