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Automated calculation of surface energy fluxes with high-frequency lake buoy data., , , , , , , and . Environ. Model. Softw., (2015)Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles., , , , , , and . CoRR, (2020)Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling., , , , , , and . IGARSS, page 3494-3496. IEEE, (2020)Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles., , , , , , and . SDM, page 558-566. SIAM, (2019)Derivation of lake mixing and stratification indices from high-resolution lake buoy data., , , , , , , and . Environ. Model. Softw., 26 (11): 1325-1336 (2011)Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles., , , , , , and . CoRR, (2018)Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks., , , , , , , , , and 1 other author(s). SDM, page 612-620. SIAM, (2021)Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling., , , , , and . SDM, page 702-710. SIAM, (2022)Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks., , , , , , and . SDM, page 621-629. SIAM, (2021)Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems., , , , , , , , and . ICDM, page 270-279. IEEE, (2021)