Projects per year
Organization profile
Organization profile
Minnesota Sea Grant is a partnership of the University of Minnesota and the National Oceanic and Atmospheric Administration. It is one of 32 other Sea Grant programs located in coastal states throughout the United States and Puerto Rico. Our mission is to facilitate interaction among the public and scientists to enhance communities, the environment and economies along Lake Superior and Minnesota’s inland waters by identifying needs, fostering research, and communicating results.
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Collaborations and top research areas from the last five years
Profiles
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John A Downing
- Minnesota Sea Grant - Administrative Director
Person: Executive, Administrative, and Managerial
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Connecting PFAS regulators across the Great Lakes region
PURDUE UNIVERSITY, USDOC NAT'L OCEANIC & ATMOSPHERIC ADMIN
3/1/24 → 7/31/25
Project: Research project
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MN Sea Grant College Program Dean John A, Knauss Marine Policy Fellowship Participant: Gurparteet Singh
USDOC NAT'L OCEANIC & ATMOSPHERIC ADMIN
2/1/24 → 2/28/25
Project: Research project
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Tracing Atmospherically Deposited PFAS from Source to Sediment in the Great Lakes Region
Peterson, J. M., Frie, A. L., Griffis, T. J., Sprague, T. A. & Ulrich, B. A.
12/19/22 → 12/18/25
Project: Research project
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Efficacy of grape seed procyanidins for inhibiting denitrification varies by source, soil texture, and cropping history
Hsiao, C. J., Frie, A. L., Mitchell, S., Venterea, R. & Griffis, T., Mar 2024, In: Applied Soil Ecology. 195, 105254.Research output: Contribution to journal › Article › peer-review
Open Access -
Evaluation and improvement of the E3SM land model for simulating energy and carbon fluxes in an Amazonian peatland
Yuan, F., Ricciuto, D. M., Xu, X., Roman, D. T., Lilleskov, E., Wood, J. D., Cadillo-Quiroz, H., Lafuente, A., Rengifo, J., Kolka, R., Fachin, L., Wayson, C., Hergoualc'h, K., Chimner, R. A., Frie, A. & Griffis, T. J., Apr 1 2023, In: Agricultural and Forest Meteorology. 332, 109364.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
KGML-ag: a modeling framework of knowledge-guided machine learning to simulate agroecosystems: a case study of estimating N2O emission using data from mesocosm experiments
Liu, L., Xu, S., Tang, J., Guan, K., Griffis, T. J., Erickson, M. D., Frie, A. L., Jia, X., Kim, T., Miller, L. T., Peng, B., Wu, S., Yang, Y., Zhou, W., Kumar, V. & Jin, Z., Apr 7 2022, In: Geoscientific Model Development. 15, 7, p. 2839-2858 20 p.Research output: Contribution to journal › Article › peer-review
Open Access15 Scopus citations
Press/Media
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Testing the waters: Researchers checking Lake Superior beaches for coronavirus
Richard G Melvin & Jesse D Schomberg
8/27/20
1 item of Media coverage
Press/Media: Expert Comment