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Stefan Kollet

Editor, Water Resources Research

Map from the study.
Posted inEditors' Highlights

Episodic Tales of Salt  

by Stefan Kollet 10 December 20259 December 2025

When episodic pulses of road salt hit after a winter storm, the impact can be like a lightning strike for the environment.

A beaver swimming in water with a stick in its mouth.
Posted inEditors' Highlights

Beavers are Not Concerned About Groundwater

by Stefan Kollet 30 October 202530 October 2025

But, scientists are! A new study illuminates the complex interactions of beaver dam induced ponding and floodplain inundation with shallow groundwater storage and flow patterns.

Diagram from the study.
Posted inEditors' Highlights

Deep Learning Goes Multi-Tasking

by Stefan Kollet 16 September 202511 September 2025

In hydrological modeling, predicting multiple tasks helps in identifying physical rules and generalizations.

Comparative images of real and generated rock thin sections.
Posted inEditors' Highlights

Rock Solid Augmentation: AI-Driven Digital Rock Analysis

by Stefan Kollet 21 May 202521 May 2025

Boosting digital rock images with AI-powered augmentation and quality analysis could improve subsurface engineering decisions.

Graph from the study
Posted inEditors' Highlights

Listening to Groundwater Dynamics

by Stefan Kollet 10 March 20257 March 2025

Deep learning from shallow passive seismic data reveals groundwater table depth information in space and time.

Four graphs from the paper
Posted inEditors' Highlights

Learning Data Assimilation Without the Help of the Gaussian Assumption

by Stefan Kollet 15 April 202411 April 2024

Major Earth system processes are non-linear and non-Gaussian, and so should be our data assimilation approaches.

Diagrams from the paper showing monitoring locations.
Posted inEditors' Highlights

Using Big Data for Monitoring Network Design and Beyond

by Stefan Kollet 5 December 202229 November 2022

Large data sets can be generated using deep learning to improve the design of observation networks for monitoring subsurface flow and transport.

Diagram of experiment design.
Posted inEditors' Highlights

Deep Learning for Hydrologic Projections Under Climate Change

by Stefan Kollet 24 October 202219 October 2022

Extrapolation or not? Big data may help deep learning to go places where it has not been before by transferring learned hydrologic relationships.

Over a dark blue-green square appear the words Special Report: The State of the Science 1 Year On.

Features from AGU Publications

Research Spotlights

Making a Map to Make a Difference

11 February 202611 February 2026
Editors' Highlights

Inclusion, Diversity, Equity, and Accessibility: Excellent IDEA! 

18 February 202618 February 2026
Editors' Vox

A Double-Edged Sword: The Global Oxychlorine Cycle on Mars

10 February 202610 February 2026
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