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Shuqi Lin
Shuqi Lin
Environment and Climate Change Canada
Verified email at ec.gc.ca
Title
Cited by
Cited by
Year
Three-dimensional modeling of sediment resuspension in a large shallow lake
S Lin, L Boegman, R Valipour, D Bouffard, JD Ackerman, Y Zhao
Journal of Great Lakes Research 47 (4), 970-984, 2021
182021
Characterizing spatial and temporal distributions of turbulent mixing and dissipation in Lake Erie
S Lin, L Boegman, YR Rao
Journal of Great Lakes Research 47 (1), 168-179, 2021
122021
An automatic lake-model application using near-real-time data forcing: development of an operational forecast workflow (COASTLINES) for Lake Erie
S Lin, L Boegman, S Shan, R Mulligan
Geoscientific Model Development 15 (3), 1331-1353, 2022
82022
Prediction of algal blooms via data-driven machine learning models: an evaluation using data from a well-monitored mesotrophic lake
S Lin, DC Pierson, JP Mesman
Geoscientific Model Development 16 (1), 35-46, 2023
62023
Observation and parameterization of bottom shear stress and sediment resuspension in a large shallow lake
S Lin, L Boegman, A Jabbari, R Valipour, Y Zhao
Earth and Space Science 10 (6), e2022EA002786, 2023
32023
An automatic lake-model application using near real-time data forcing: Development of an operational forecast model for Lake Erie, V1, Scholars Portal Dataverse [data set]
S Lin, L Boegman, S Shan, R Mulligan
22021
Multi-model machine learning approach accurately predicts lake dissolved oxygen with meteorological and hydrological input
S Lin, DC Pierson, R Ladwig, BM Kraemer, FRS Hu
Available at SSRN 4454256, 2023
12023
An automatic lake-model application using near real-time data forcing: Development of an operational forecast model for Lake Erie
S Lin, L Boegman, S Shan, R Mulligan
Geoscientific Model Development Discussions 2021, 1-37, 2021
12021
Sediment resuspension modeling in Lake Erie
SQ Lin, R Valipour, YM Zhao, L Boegman
59th Annual Conference on Great Lakes Research, Guelph, Ont., June, 6-10, 2016
12016
Observation and parameterization of bottom shear stress and sediment resuspension in a large shallow lake
S Lin, L Boegman, A Jabbari, R Valipour, Y Zhao
Authorea Preprints, 2022
2022
Prediction of algal blooms via data-driven machine learning models: An evaluation using data from a well monitored mesotrophic lake
S Lin, D Pierson, J Mesman
Geoscientific Model Development Discussions 2022, 1-18, 2022
2022
Turbulence and Sediment Resuspension Modelling in Lake Erie
S Lin
2019
Prediction of algal blooms via data-driven machine learning models
S Lin, DC Pierson, JP Mesman
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