Brian Pellerin
Brian Pellerin is the Program Manager for the Next Generation Water Observing Systems (NGWOS) and Water Hazards Programs.
Professional Experience
2017- Branch Chief, Hydrologic Networks Branch, USGS, Observing Systems Division, Reston, Virginia
2016-2017 Research Physical Scientist (RGE), USGS, Office of Water Quality, Reston, Virginia
2009-2016 Research Soil Scientist (RGE), USGS, California Water Science Center, Sacramento
2007-2009 Soil Scientist, USGS, California Water Science Center, Sacramento
2004-2007 National Research Council Post-Doctoral Associate, USGS, California Water Science Center, Sacramento
2000-2004 Graduate Research Assistant, University of New Hampshire
1998-2000 Graduate Research Assistant, University of Maine
1996-1998 Technician Assistant, USDA-Forest Service, Durham, New Hampshire
Education and Certifications
2004 Ph.D., Natural Resources and Environmental Studies, University of New Hampshire, Durham. Dissertation: The influence of urbanization on runoff generation and stream chemistry in Massa
2000 M.S., Plant, Soil and Environmental Science, University of Maine, Orono. Thesis: Inferences from soil chemical properties on linkages between soil and surface water in Maine forested waters
1998 B.S., Environmental Science (Soil Science minor), University of New Hampshire, Durham
Science and Products
Transport of dissolved organic matter by river networks from mountains to the sea: a re-examination of the role of flow across temporal and spatial scales
Clearing the waters: Evaluating the need for site-specific field fluorescence corrections based on turbidity measurements
Spatial and temporal patterns of dissolved organic matter quantity and quality in the Mississippi River Basin, 1997–2013
Patterns of diel variation in nitrate concentrations in the Potomac River
Emerging tools for continuous nutrient monitoring networks: Sensors advancing science and water resources protection
The new Landsat 8 potential for remote sensing of colored dissolved organic matter (CDOM)
Optical properties of dissolved organic matter (DOM): Effects of biological and photolytic degradation
Quantifying watershed-scale groundwater loading and in-stream fate of nitrate using high-frequency water quality data
Applications of optical sensors for high-frequency water-quality monitoring and research
The river as a chemostat: fresh perspectives on dissolved organic matter flowing down the river continuum
Causes and consequences of ecosystem service regionalization in a coastal suburban watershed
Mississippi River nitrate loads from high frequency sensor measurements and regression-based load estimation
Optical sensors for water quality
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Transport of dissolved organic matter by river networks from mountains to the sea: a re-examination of the role of flow across temporal and spatial scales
Clearing the waters: Evaluating the need for site-specific field fluorescence corrections based on turbidity measurements
Spatial and temporal patterns of dissolved organic matter quantity and quality in the Mississippi River Basin, 1997–2013
Patterns of diel variation in nitrate concentrations in the Potomac River
Emerging tools for continuous nutrient monitoring networks: Sensors advancing science and water resources protection
The new Landsat 8 potential for remote sensing of colored dissolved organic matter (CDOM)
Optical properties of dissolved organic matter (DOM): Effects of biological and photolytic degradation
Quantifying watershed-scale groundwater loading and in-stream fate of nitrate using high-frequency water quality data
Applications of optical sensors for high-frequency water-quality monitoring and research
The river as a chemostat: fresh perspectives on dissolved organic matter flowing down the river continuum
Causes and consequences of ecosystem service regionalization in a coastal suburban watershed
Mississippi River nitrate loads from high frequency sensor measurements and regression-based load estimation
Optical sensors for water quality
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.