This project overview describes a 2016 Collaborative Research project that designed and applied predictive models to better understand the buffering services provided by Piermont Marsh on New York's Hudson River.

This project overview describes a 2017 Collaborative Research project that is piloting and refining DNA-based monitoring protocols that can be applied to specific issues and species of interest in estuarine ecosystems.

This project overview describes a 2018 Catalyst project led by Grand Bay Reserve that developed standardized tools to quality-check, analyze, and visualize Surface Elevation Table data.

This project overview describes a 2018 Catalyst project that facilitated the development of a collaborative research agenda to study the ecological and physical impacts of storm surge barriers on the Hudson River Estuary.

This project overview describes a 2017-18 science transfer project led by the Narragansett Bay National Estuarine Research Reserve that developed a regional workshop to build capacity for New England salt marsh resilience.

The joint probability method (JPM) is the traditional way to determine the base flood elevation due to storm surge, and it usually requires simulation of st

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the September 2019 webinar Accelerating Collective Learning and Action for Enhanced Climate Resilience.

This project overview describes a 2013 Collaborative Research project that developed a model climate adaptation plan for Exeter, New Hampshire to help decision-makers address climate change impacts.

This project overview describes a 2013 Collaborative Research project that refined and piloted the Climate Change Vulnerability Assessment Tool for Coastal Habitats ("CCVATCH").

This project overview describes the New England Climate Adaptation Project (NECAP), a 2012 Collaborative Research project that tested the use of role-play simulations to help community members manage climate risk in four New England communities.