Niklas Linde

Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks

HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community

HESS Opinions: Deep learning as a promising avenue toward knowledge discovery in water sciences

Investigating riparian groundwater flow close to a losing river using diurnal temperature oscillations at high vertical resolution

Electro-diffusion of ions in porous electrodes for capacitive extraction of renewable energy from salinity differences

Diffuse charge and Faradaic reactions in porous electrodes

Rapid removal of organic micropollutants from water by a porous β-cyclodextrin polymer

Multiresidue analysis of 88 polar organic micropollutants in ground, surface and wastewater using online mixed-bed multilayer solid-phase extraction coupled to high performance liquid chromatography–tandem mass spectrometry

State of science: mental workload in ergonomics

Monitoring groundwater‐surface water interaction using time‐series and time‐frequency analysis of transient three‐dimensional electrical resistivity changes

Review on the science and technology of water desalination by capacitive deionization

Advanced Noninvasive Geophysical Monitoring Techniques

Hyporheic flow and transport processes: Mechanisms, models, and biogeochemical implications

Residence time distributions in sinuosity‐driven hyporheic zones and their biogeochemical effects

Bio-mediated soil improvement

The science and practice of river restoration

Towards improved instrumentation for assessing river-groundwater interactions in a restored river corridor

Self-potential investigations of a gravel bar in a restored river corridor

Chemico-electromechanical coupling in microporous media

Constraining 3-D electrical resistance tomography with GPR reflection data for improved aquifer characterization

3D crosshole ERT for aquifer characterization and monitoring of infiltrating river water

Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network