RSS feed source: National Science Foundation

U.S. National Science Foundation-funded researchers discovered that subtle changes in magma composition may drive tremors during volcanic eruptions, offering a new tool for forecasting volcanic activity and guiding hazard assessments.

Volcano forecasts are critical for protecting lives and property by warning nearby residents to evacuate, take safety precautions and seek emergency services. In addition to offering new clues into the cause of volcanic tremor, a key eruption monitoring parameter, this study shows the benefit of combining petrological data collection, like ashfall, with geophysical data to improve eruption forecasting, hazard assessment and decision-making during volcanic crises.

After lying dormant for 50 years, the Cumbre Vieja volcano in the Canary Islands erupted in September 2021, forcing thousands of residents to evacuate. Over the next 85 days, the eruption destroyed over 3,000 buildings and hundreds of acres of farmland.

Working with local scientists, a research team led by Queens College of the City University of New York (CUNY), in collaboration with the CUNY Graduate Center and the American Museum of Natural History, set up a system near the volcano that collected samples of falling ash almost daily, capturing 94% of the eruption timeline. This study represents an unprecedented level of detail, revealing critical insights into internal magma properties and eruption dynamics throughout the three-month eruption.

Analysis revealed that in the first week of the eruption, magma had higher concentrations

Click this link to continue reading the article on the source website.

RSS feed source: National Science Foundation

Synopsis

The intent of this solicitation is to request proposals from organizations who are willing to serve as resource providers within the NSF Advanced Computing Systems and Services (ACSS) program. Resource providers would (1) provide advanced cyberinfrastructure (CI) resources in production operations to support the full range of computation, data-analysis, and AI research across all of science and engineering (S&E), and (2) enable democratized and equitable access to the proposed resources. The current solicitation is intended to complement previous NSF investments in advanced computational infrastructure by provisioning resources, broadly defined in this solicitation to include systems and services, in two categories: 

Category I, Capacity Resources: production computational resources maximizing the capacity provided to support the broad range of computation, data analytics and AI needs in S&E research; and  Category II, Innovative Prototypes/Testbeds: innovative forward-looking capabilities deploying novel technologies, architectures, usage modes, etc., and

Click this link to continue reading the article on the source website.

RSS feed source: National Science Foundation

Award information

The number of MRSEC awards will depend on the quality of the proposals and available funds. An estimate of $27M will be available for the FY 2026 competition for funding 8-10 MRSEC awards.

Estimated number of awards

8 to 10

Proposals may only be submitted by certain types of organizations. Please see solicitation for details. Limit on number of proposals per organization

1

Limit on number of proposals per organization description –

Only one MRSEC preliminary proposal may be submitted by any one organization as the lead institution in this competition. An institution proposing research in several groups should submit a single MRSEC proposal with multiple Interdisciplinary Research Groups (IRGs). A MRSEC proposal must contain a minimum of 2 IRGs and a maximum of 3 IRGs.

Click this link to continue reading the article on the source website.