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New England Water Science Center

Welcome to the USGS New England Water Science Center. We provide timely and reliable information to Federal, State, Tribal, and local stakeholders on the water resources of Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. Our data help safeguard human and wildlife health, public safety, and environmental sustainability.

For assistance, contact us on our Connect page.

News

WaterMarks Newsletter - Fall 2026

WaterMarks Newsletter - Fall 2026

New England WSC Products in the Third Quarter of 2026

New England WSC Products in the Third Quarter of 2026

A Pristine Headwaters Ecosystem as an Outdoor Laboratory for Foundational Science

A Pristine Headwaters Ecosystem as an Outdoor Laboratory for Foundational Science

Publications

Big data for small streams: Leveraging a coarse national model to enhance fine-resolution stream temperature predictions Big data for small streams: Leveraging a coarse national model to enhance fine-resolution stream temperature predictions

Predictive stream temperature models are commonly used to address spatial and temporal gaps in observational data because stream temperature information is essential for environmental management decisions. National models capture broad patterns driven by climate, topography, and seasonality, but often lack the spatial resolution to simulate fine-scale variation in groundwater discharge...
Authors
Janet R. Barclay, Lauren Elizabeth Koenig, Yingda Fan, X. Jia, Alison P. Appling

A spatial analysis of the groundwater emergence flood hazard in Long Island, New York, and coastal areas surrounding Long Island Sound in New York, Connecticut, and Rhode Island A spatial analysis of the groundwater emergence flood hazard in Long Island, New York, and coastal areas surrounding Long Island Sound in New York, Connecticut, and Rhode Island

Long Island, New York, and nearby coastal areas surrounding Long Island Sound are densely populated and, like other coastal areas, are susceptible to flooding from several potential sources, including stormwater from precipitation events, tidal flooding and storm surge, and groundwater emergence flooding. Groundwater emergence fooding refers to the intersection of a rising water table...
Authors
Kristina K. Masterson, Robert J. Welk, Janet R. Barclay, Kalle L. Jahn, Liv M. Herdman

Fall 2026 Fall 2026

No abstract available.
Authors
Katrina Rossos

Science

Low-Streamflow Statistics for Unregulated Streams in Vermont

Below normal streamflows can intensify competing water demands and affect water quality, drinking-water supplies, and aquatic habitat. Estimating normal low-flow statistics is critical to support natural resource management. The current methods for estimating low-flow statistics at ungaged streams, particularly on small watersheds, are limited in Vermont. The USGS is computing low-flow statistics...
Low-Streamflow Statistics for Unregulated Streams in Vermont

Low-Streamflow Statistics for Unregulated Streams in Vermont

Below normal streamflows can intensify competing water demands and affect water quality, drinking-water supplies, and aquatic habitat. Estimating normal low-flow statistics is critical to support natural resource management. The current methods for estimating low-flow statistics at ungaged streams, particularly on small watersheds, are limited in Vermont. The USGS is computing low-flow statistics...
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Predicting Cyanobacterial Harmful Algal Blooms at Lake Champlain Beaches

USGS, in cooperation with the Lake Champlain Basin Program, is evaluating machine learning models for predicting blooms of potentially harmful cyanobacteria, a damaging blue-green algae, at Lake Champlain beaches in Vermont and New York. Harmful cyanobacterial algal blooms (cyanoHABs) degrade the water quality of Lake Champlain and can threaten environmental and public health because the lake...
Predicting Cyanobacterial Harmful Algal Blooms at Lake Champlain Beaches

Predicting Cyanobacterial Harmful Algal Blooms at Lake Champlain Beaches

USGS, in cooperation with the Lake Champlain Basin Program, is evaluating machine learning models for predicting blooms of potentially harmful cyanobacteria, a damaging blue-green algae, at Lake Champlain beaches in Vermont and New York. Harmful cyanobacterial algal blooms (cyanoHABs) degrade the water quality of Lake Champlain and can threaten environmental and public health because the lake...
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Northeast Region Urban Landscapes Capability Team

Northeast Region Urban Landscapes Capability Team

Learn about the Northeast Region Urban Landscapes Capabilities Team.
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