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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Network
Profiles
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John A Downing
- Minnesota Sea Grant - Administrative Director
Person: Executive, Administrative, and Managerial Staff
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MN Sea Grant College Program Dean John A, Knauss Marine Policy Fellowship Participant: Devin Burri
2/1/23 → 2/29/24
Project: Research project
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MN Sea Grant College Program Dean John A, Knauss Marine Policy Fellowship Participant: Celina Harris
2/1/23 → 2/29/24
Project: Research project
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MN Sea Grant College Program Dean John A, Knauss Marine Policy Fellowship Participant: Jackie Culotta
2/1/23 → 2/29/24
Project: Research project
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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
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Individual species and site dynamics are the main drivers of spatial scaling of stability in aquatic communities
Hodapp, D., Armonies, W., Dannheim, J., Downing, J. A., Filstrup, C. T. & Hillebrand, H., Feb 1 2023, In: Frontiers in Ecology and Evolution. 11, 864534.Research output: Contribution to journal › Article › peer-review
Open Access -
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 Access1 Scopus citations
Datasets
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Data for Study of The Fundamental Dynamics of Water Wave Effects on Turbulence for Environmental Applications
Shen, L., Xuan, A. & Deng, B., Data Repository for the University of Minnesota, Aug 25 2021
https://hdl.handle.net/11299/223222
Dataset
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 or Interview