Geology Reports⌕ Search
Home/Archive/USGS

USGS · 70270195

Confronting debris-flow hazards after wildfire

Ann Youberg·Luke McGuire·N. S. Oakley·Francis K. Rengers·Autym Shafer
View original source ↗Export metadata ↓

Abstract

No abstract available.

Explore related subjects

Eos, American Geophysical UnionArticle

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Ann Youberg, Luke McGuire, N. S. Oakley, Francis K. Rengers, Autym Shafer. 2025-02-19. Confronting debris-flow hazards after wildfire. https://doi.org/10.1029/2025eo250069

Cite the original work for its findings. Save a collection to share your selection of sources.

Discover connections

Article subjectEos, American Geophysical Union subject

Connections use source metadata and explicit phrase matches, not verified experimental comparisons.

KEEP EXPLORING

Related USGS reports

USGS2026

How to accelerate advances in ecological forecasting

Ecological forecasting offers critical insights for managing natural resources and safeguarding public well-being. Despite growing demand for these forecasts, progress is hindered by fragmented systems, redundant workflows, and limited interoperability. Drawing lessons from weather forecasting and recent successes like the NEON Ecological Forecasting Challenge, shared cyberinfrastructure is important for advancing ecological prediction. By adopting common standards, open-source tools, and scalable architectures, and fostering transdisciplinary collaboration, the ecological forecasting community can overcome technical and institutional barriers. Such investments could accelerate scientific understanding, improve forecast reliability, and empower decisionmakers to anticipate environmental change and respond effectively.

Eos, American Geophysical Union↗
USGS2026

A hybrid approach for revealing headwater hydrology

Coordinated work to compile existing data and apply models pairing physical understanding with machine learning could substantially improve streamflow predictions for little-known headwater basins.

Eos, American Geophysical Union↗
USGS2025

Planting seeds for thriving data management

The volumes and varieties of data coming from all types of scientific instrumentation around the globe and beyond are rapidly growing. To reuse and capitalize on these data effectively, scientists must be able to share and access them efficiently, which requires the data to be well managed. Many scientists intuit that research data management (RDM) done well does not mean using dusty USB drives or aging laptops for storage. Yet the path to strong data management is not always clear. How is RDM done? Who does it? For science to advance, we need to bolster cyberinfrastructure and human capacity to ensure that the data being collected are reusable by both humans and machines.

Eos, American Geophysical Union↗