SLAMM Raw Data, Final Reports, and other Useful Resources

Raw Data and Final Reports

SLAMM raw data and final reports for the LISS project (CT and Westchester County):

SLAMM raw data and final reports for the NYSERDA project (Suffolk, Nassau, NYC counties, and Hudson Valley):                                   

Advancing Existing Assessment of Connecticut Marshes’ Response to SLRfinal report prepared by Warren Pinnacle for the Northeast Regional Oceans Council.

Application of Sea-Level Affecting Marshes Model (SLAMM) to Long Island, NY and New York Cityfinal report prepared by New York State
Energy Research and Development Authority.

Related Resources

The Nature Conservancy’s Coastal Resilience Tool

This Web based tool allows users to investigate the SLAMM results and examine other geographic layers. User’s must select their state from the list and then select the Futures Habitat tab on the left in order to see the various SLR scenarios for their area. Once you select your area to view you can use the slide bar to change the SLR scenarios and the timeframe. There is also a tab in the box that brings you the Warren Pinnacle website to choose the SLAMM final reports. The SLAMM work is only available for Suffolk, Nassau, NYC counties, Hudson in NY (NYSERDA project results) at the moment but will soon include CT and Westchester County results (LISS project results).


This web application allows users to view SLAMM results from across the country through interactive maps and tools. The NYSERDA NY results (Suffolk, Nassau, NYC counties, Hudson) are available to view on this site. CT and Westchester SLAMM results do not yet exist on the site.

Sea-level Rise (SLR) Modeling Handbook, USGS Guide (2015)

Describes and classifies the suite of SLR data, methods, and models and their design, structure, and application for hindcasting and forecasting the potential impacts of sea-level rise in coastal ecosystems. The data and models cover a broad spectrum of disciplines involving different designs and scales of spatial and temporal complexity for predicting environmental change and ecosystem response to SLR. A helpful webinar describing the Handbook can be accessed at:

Please complete your newsletter signup.