Articles with public access mandates - Shuqi LinLearn more
Available somewhere: 4
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
Mandates: Natural Sciences and Engineering Research Council of Canada
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
Mandates: Swedish Research Council for Environment, Agricultural Sciences and Spatial …
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
Mandates: German Research Foundation, Swedish Research Council for Environment …
Multi‐model machine learning approach accurately predicts lake dissolved oxygen with multiple environmental inputs
S Lin, DC Pierson, R Ladwig, BM Kraemer, FRS Hu
Earth and Space Science 11 (7), e2023EA003473, 2024
Mandates: Swedish Research Council for Environment, Agricultural Sciences and Spatial …
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