Jana S Stewart
Jana Stewart is a Scientist Emeritus, previously Supervisory Physical Scientist with the USGS Upper Midwest Water Science Center, where she had worked since 1992.
Expertise
Her expertise is in regional modeling and decision support projects and multi-disciplinary studies that integrate scientific data, remote sensing, and empirical models with geographic information systems (GIS) and web-based technologies in support of water quality and use, and aquatic ecological assessments.
Professional Experience
2023 – Present, USGS, Scientist Emeritus, Upper Midwest Water Science Center
- As a Scientist Emeritus, Jana helps plan and manage a National Water Use Modeling project and contribute to publications.
2020 – 2023, USGS, Supervisory Physical Scientist, Upper Midwest Water Science Center
- Jana served as Team Leader of the Aquatic Contaminants team and contributed to the science leadership within the Upper Midwest Water Science Center. She also co-led a National Water Use Model development project in support of models to estimate water withdrawals and consumptive use for the Nation.
1992 – 2020, USGS, Geographer, Wisconsin and Upper Midwest Water Science Center
- Jana worked on multi-disciplinary studies, particularly aquatic ecological assessments, as part of the NAWQA Program and played national roles helping to develop geospatial datasets, synthesize and archive national datasets, and develop aquatic biological databases. She served as Principal Investigator for regional modeling and decision support projects that integrate scientific data and empirical models with GIS and web-based technologies in the Great Lakes and Northeast US regions including the NorEaST Stream Temperature Web Portal, FishVis Decision Support Mapper, and Great Lakes Aquatic Gap projects in collaboration with Federal, State, local, university, and non-governmental organizations.
Jana is an avid outdooor enthusiast and loves gardening, and kayaking, skiing, and cycling with friends across the country.
Science and Products
SPARROW modeling: Great Lakes, Mississippi River, Ohio River, and Red River Basins
SPARROW models for the Great Lakes, Ohio River, Upper Mississippi River, and Red River Basins predict long-term mean annual loads, yields, concentrations, and source contributions of water, nitrogen, phosphorus, and sediment throughout the Midwest.
SPARROW nutrient modeling: Mississippi/Atchafalaya River Basin (MARB)
SPARROW models for the Mississippi/Atchafalaya River Basin (MARB) predict long-term average loads, concentrations, yields, and source contributions of water, nitrogen, phosphorus, and suspended sediment to the Gulf of Mexico.
SPARROW nutrient modeling: Binational (US/Canada) models
SPARROW phosphorus and nitrogen models are being developed for the entire Great Lakes Basin and the Upper Midwest part of the U.S., and the Red and Assiniboine River Basin, as part of a Binational project between the USGS and the International Joint Commission (IJC) and National Research Council (NRC) of Canada.
SPARROW modeling: Estimating nutrient, sediment, and dissolved solids transport
SPARROW (SPAtially Referenced Regression On Watershed attributes) models estimate the amount of a contaminant transported from inland watersheds to larger water bodies by linking monitoring data with information on watershed characteristics and contaminant sources. Interactive, online SPARROW mapping tools allow for easy access to explore relations between human activities, natural processes, and...
FishTail: A Tool to Inform Conservation of Stream Fish Habitats in the Northeast
Human impacts occurring throughout the DOI Northeast Climate Science Center, including urbanization, agriculture, and dams, have multiple effects on streams in the region which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage st
NorEaST: A Tool to Understand the Responses of Fish to Changes in Stream Temperature
Climate change is expected to alter stream temperature and flow regimes over the coming decades, and in turn influence distributions of aquatic species in those freshwater ecosystems. To better anticipate these changes, there is a need to compile both short- and long-term stream temperature data for managers to gain an understanding of baseline conditions, historic trends, and future projections.
Science and Products
SPARROW modeling: Great Lakes, Mississippi River, Ohio River, and Red River Basins
SPARROW models for the Great Lakes, Ohio River, Upper Mississippi River, and Red River Basins predict long-term mean annual loads, yields, concentrations, and source contributions of water, nitrogen, phosphorus, and sediment throughout the Midwest.
SPARROW nutrient modeling: Mississippi/Atchafalaya River Basin (MARB)
SPARROW models for the Mississippi/Atchafalaya River Basin (MARB) predict long-term average loads, concentrations, yields, and source contributions of water, nitrogen, phosphorus, and suspended sediment to the Gulf of Mexico.
SPARROW nutrient modeling: Binational (US/Canada) models
SPARROW phosphorus and nitrogen models are being developed for the entire Great Lakes Basin and the Upper Midwest part of the U.S., and the Red and Assiniboine River Basin, as part of a Binational project between the USGS and the International Joint Commission (IJC) and National Research Council (NRC) of Canada.
SPARROW modeling: Estimating nutrient, sediment, and dissolved solids transport
SPARROW (SPAtially Referenced Regression On Watershed attributes) models estimate the amount of a contaminant transported from inland watersheds to larger water bodies by linking monitoring data with information on watershed characteristics and contaminant sources. Interactive, online SPARROW mapping tools allow for easy access to explore relations between human activities, natural processes, and...
FishTail: A Tool to Inform Conservation of Stream Fish Habitats in the Northeast
Human impacts occurring throughout the DOI Northeast Climate Science Center, including urbanization, agriculture, and dams, have multiple effects on streams in the region which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage st
NorEaST: A Tool to Understand the Responses of Fish to Changes in Stream Temperature
Climate change is expected to alter stream temperature and flow regimes over the coming decades, and in turn influence distributions of aquatic species in those freshwater ecosystems. To better anticipate these changes, there is a need to compile both short- and long-term stream temperature data for managers to gain an understanding of baseline conditions, historic trends, and future projections.