Daniel Caviedes-Voullième

Head

Forschungszentrum Jülich

Germany

Research Interests

Explore related searches

Professors in Germany

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Daniel Caviedes-Voullième is the Head at Forschungszentrum Jülich GmbH in Germany. His research focuses on subsurface flow solvers, hydrological modeling, and the application of machine learning in geosciences. Recent publications include studies on variably saturated groundwater flow and the impact of rainfall on flash flood responses. He is also involved in developing performance-portable computing solutions for hydrology and environmental hydraulics.

Articles (12)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2020

Collaborators (6)

Roeland van de Vijsel

Assistant Professor

Wageningen University & Research

NETHERLANDS

View details

Denise Degen

Professor

Technische Universität Darmstadt

GERMANY

View details

Christoph Hinz

Professor (Chair)

Brandenburgische Technische Universität Cottbus-Senftenberg

GERMANY

View details

Ilhan Özgen Xian

Assistant Professor

Technische Universität Braunschweig

GERMANY

View details

Mario Morales Hernández

Universidad de Zaragoza

SPAIN

View details

Florian Wellmann

Prof. Dr.

RWTH Aachen University

GERMANY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Daniel Caviedes-Voullième

Research Interests

Explore related searches

Contact this professor

About

Articles (12)

SERGHEI v2.0: introducing a performance-portable, high-performance, three-dimensional variably saturated subsurface flow solver (SERGHEI-RE)

Mapeo de ríos utilizando ecuaciones de aguas poco profundas en clústeres de GPU: Costa Rica como caso de estudio

Are 2D shallow-water solvers fast enough for early flood warning? A comparative assessment on the 2021 Ahr valley flood event

A comparison of numerical schemes for the GPU-accelerated simulation of variably-saturated groundwater flow

Unravelling the spatial structure of regular dryland vegetation patterns

SERGHEI (SERGHEI-SWE) v1.0: a performance-portable high-performance parallel-computing shallow-water solver for hydrology and environmental hydraulics

Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations

Climate storylines as a way of bridging the gap between information and decision-making in hydrological risk

Effects of Within-Storm Variability on Allochthonous Flash Flooding: A Synthetic Study

Impact of Rainfall Movement on Flash Flood Response: A Synthetic Study of a Semi-Arid Mountainous Catchment

Interactions of Microtopography, Slope and Infiltration Cause Complex Rainfall‐Runoff Behavior at the Hillslope Scale for Single Rainfall Events

From nonequilibrium initial conditions to steady dryland vegetation patterns: How trajectories matter

Collaborators (6)

Roeland van de Vijsel

Denise Degen

Christoph Hinz

Ilhan Özgen Xian

Mario Morales Hernández

Florian Wellmann

Make your next move.