
NSF Org: |
OCE Division Of Ocean Sciences |
Recipient: |
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Initial Amendment Date: | September 13, 2018 |
Latest Amendment Date: | April 11, 2023 |
Award Number: | 1848650 |
Award Instrument: | Standard Grant |
Program Manager: |
Baris Uz
bmuz@nsf.gov (703)292-4557 OCE Division Of Ocean Sciences GEO Directorate for Geosciences |
Start Date: | September 15, 2018 |
End Date: | August 31, 2024 (Estimated) |
Total Intended Award Amount: | $991,941.00 |
Total Awarded Amount to Date: | $991,941.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
266 WOODS HOLE RD WOODS HOLE MA US 02543-1535 (508)289-3542 |
Sponsor Congressional District: |
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Primary Place of Performance: |
266 Woods Hole Road Woods Hole MA US 02543-1535 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
GCR-Growing Convergence Resear, PHYSICAL OCEANOGRAPHY, XC-Crosscutting Activities Pro, Integrat & Collab Ed & Rsearch |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.050 |
ABSTRACT
Extreme storms have significant impacts on the nearshore water-land system, where ocean and estuarine waves and surge interact with land processes, that pose high risk to society. Coastal storm-related economic losses have increased substantially, largely owing to increases in population and development in hazardous coastal areas (NRC 2014). Degraded water quality impacts ecosystem and human health; thus, it is critical to improve our ability to predict the impacts of major storms to the coast. In particular, by enabling convergence of research spanning oceanography, geomorphology, hydrogeology, geo-engineering technology, coastal engineering, and ecology, this project will result in a better understanding of the feedbacks among nearshore water-land system processes during extreme storms. The researchers will collaborate closely with biogeochemists, ecologists and social scientists, such that significant and rapid progress transcending these disciplines can be made with investment and expertise spanning multiple NSF programs. The proposed convergent, integrative systems approach will enable rapid advances in understanding and predicting impacts of extreme storms and coastal resilience, leading to improved coastal management strategies. The nearshore water-land interface is vital to the national economy, security, commerce, and recreation, and major storms increasingly threaten communities, infrastructure, and ecosystems.
A transdisciplinary approach is needed to investigate interactions and feedbacks among oceanography (tides, surge, waves), geomorphology (sediment transport, morphological evolution), ecology (vegetation), meteorology (wind, rain), hydrogeology (groundwater and solute transport), geo-engineering technology (soil behavior, soil-structure interaction), and the built environment (engineering, infrastructure) during storms. Alongshore variability within this "nearshore-system" will be measured on scales of 10 m to 10 km, through all of these processes. The researchers will be co-located in a regional during-storm study to address system-wide science questions regarding the interactions and couplings between processes at the water-land interface. Daily interactions between scientists in multiple disciplines will facilitate co-development of predictive models and integration of knowledge by focusing on several coupled processes. Experience and techniques gained during this study will be used to develop a transdisciplinary storm-chasing Nearshore Extreme Event Reconnaissance association (NEER), with emphasis on rapid pre-event site characterization and instrument deployment to obtain observations during major storms. They will also facilitate an exchange program to enable students to gain the range of skills needed to be leaders in transdisciplinary research endeavors by working with scientists outside their primary discipline. Biannual conferences focused on cross-disciplinary research advances and challenges, techniques and methods for understanding the nearshore system, and the development of NEER will be used to keep the broad community with task-diverse expertise focused on the big challenges and guiding questions.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
Extreme storms have significant impacts on the nearshore water-land system (where ocean and estuarine waves and surge interact with land processes) that pose high risk to society. The nearshore water-land interface is vital to the national economy, security, commerce, and recreation, and major storms increasingly threaten communities, infrastructure, and ecosystems. Coastal-storm-related economic losses have increased substantially, largely owing to increases in population and development in hazardous coastal areas. Degraded water quality impacts ecosystem and human health. Although disciplinary advances have led to improved understanding and modeling of storm processes, abig challenge has been to understand and predict the interactions that determine the response to major storms. A transdisciplinary approach is needed to investigate:
- Interactions among oceanography (tides, surge, waves), geomorphology (sediment transport, morphological evolution), ecology (vegetation), meteorology (wind, rain), hydrogeology (groundwater and solute transport), geo-engineering technology (soil behavior, soil-structure interaction), and the built environment (engineering, infrastructure).
- Alongshore variability within this "nearshore-system" on scales of 10 m to 10 km.
The project team nurtured and accelerated convergence by jointly conducting studies to address system-wide science questions regarding the interactions and couplings between processes at the water-land interface. Frequent interactions among scientists across multiple disciplines facilitated co-development of predictive models and integration of knowledge. Experience and techniques were used to develop a transdisciplinary, storm-chasing Nearshore Extreme Event Reconnaissance association (NEER) with emphasis on rapid pre-event site characterization and instrument deployment to obtain perishable observations during major storms. This national association also entrained researchers spanning disciplines, coordinated with federal and state agency personnel and communities, provided support to emerging and marginalized researchers, and expanded access to instrumentation via sharing between members and use of the NHERI Rapid Facility. Student exchanges amongst participants taught the range of skills needed to be leaders in transdisciplinary research endeavors by working with scientists outside their primary discipline. Conferences and workshops focused on cross-disciplinary research advances and challenges, techniques and methods for understanding the nearshore system, and the development of NEER.
By enabling convergence of research spanning oceanography, geomorphology, hydrogeology, geo-engineering technology, coastal engineering, and ecology, this project resulted in a better understanding of the feedbacks among nearshore water-land system processes during extreme storms. The project resulted in 22 new cross-disciplinary collaborations and inter-disciplinary or transdisciplinary projects, 20 peer-reviewed publications, 5 data reports, 28 conference presentations, and 2 white papers. The project also resulted in new techniques for studying storm processes, including rapid-deployment infrastructure and equipment providing real-time data to the public, remote sensing and machine learning methods (shared via GitHub), and new laboratory techniques.
Last Modified: 09/15/2024
Modified by: Britt Raubenheimer
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