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Raphael Schneider

Senior Researcher

Geological Survey of Denmark and Greenland

Denmark

Research Interests

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Professors in Hydrology

Articles (14)

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2026

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2026

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2026

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2026

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2022

Collaborators (9)

Jesper Christiansen

Associate Professor

Københavns Universitet

DENMARK

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Hans Thodsen

Aarhus University

DENMARK

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Nikolas Benavides Höglund

Lund University

SWEDEN

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Simon Stisen

Professor

Geological Survey of Denmark and Greenland

DENMARK

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Peter L. Langen

Professor

Aarhus University

DENMARK

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Mark Bakker

Delft University of Technology

NETHERLANDS

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Ezra Haaf

Researcher

Chalmers University of Technology

SWEDEN

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Søren Jessen

Associate Professor

University of Copenhagen

DENMARK

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lars troldborg

Chief Consultant

Geological Survey of Denmark and Greenland (GEUS)

DENMARK

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Raphael Schneider

Research Interests

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Articles (14)

Drought dynamics across the hydrological cycle – an extensive validation of the National Hydrological Model of Denmark

Groundwater responses to decadal rainfall variability in semi-arid South Africa

Combined water table and temperature dynamics control CO<sub>2</sub> emission estimates from drained peatlands under rewetting and climate change scenarios

Operational flood forecasting in Denmark - integrating groundwater and surface water

CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations

Seasonal variability of nitrate concentrations below the root zone: A monthly predictive modeling approach

Mapping the spatial transferability of knowledge-guided machine learning: Application to the prediction of drain flow fraction

Synthesizing regional irrigation data using machine learning – Towards global upscaling via metamodeling

A national-scale hybrid model for enhanced streamflow estimation – consolidating a physically based hydrological model with long short-term memory (LSTM) networks

Data-driven modelling of hydraulic-head time series: results and lessons learned from the 2022 Groundwater Time Series Modelling Challenge

Deciphering the Mechanism of Better Predictions of Regional LSTM Models in Ungauged Basins

Using jointly calibrated fine-scale drain models across Denmark to assess the influence of physical variables on spatial drain flow patterns

A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin)

Collaborators (9)

Jesper Christiansen

Hans Thodsen

Nikolas Benavides Höglund

Simon Stisen

Peter L. Langen

Mark Bakker

Ezra Haaf

Søren Jessen

lars troldborg

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