Derivation of lake mixing and stratification indices from high-resolution lake buoy data. - Jordan S. Read; David P. Hamilton; Ian D. Jones; Kohji Muraoka; Luke A. Winslow; Ryan Kroiss; Chin H. Wu; Evelyn Gaiser (Environ. Model. Softw., 2011)

Time-scale dependence in numerical simulations: Assessment of physical, chemical, and biological predictions in a stratified lake at temporal scales of hours to months. - Emily L. Kara; Paul C. Hanson; David P. Hamilton; Matthew R. Hipsey; Katherine D. McMahon; Jordan S. Read; Luke A. Winslow; John Dedrick; Kevin Rose; Cayelan C. Carey; Stefan Bertilsson; David da Motta Marques; et al. (Environ. Model. Softw., 2012)

Supporting Open Collaboration in Science Through Explicit and Linked Semantic Description of Processes. - Yolanda Gil; Felix Michel; Varun Ratnakar; Jordan S. Read; Matheus Hauder; Christopher J. Duffy; Paul C. Hanson; Hilary Dugan (ESWC, 2015)

Automated calculation of surface energy fluxes with high-frequency lake buoy data. - R. Iestyn Woolway; Ian D. Jones; David P. Hamilton; Stephen C. Maberly; Kohji Muraoka; Jordan S. Read; Robyn L. Smyth; Luke A. Winslow (Environ. Model. Softw., 2015)

sbtools: A Package Connecting R to Cloud-based Data for Collaborative Online Research. - Luke A. Winslow; Scott Chamberlain; Alison P. Appling; Jordan S. Read (R J., 2016)

Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling. - Anuj Karpatne; William Watkins; Jordan S. Read; Vipin Kumar 001 (CoRR, 2017)

Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes. - Xiaowei Jia; Anuj Karpatne; Jared Willard; Michael S. Steinbach; Jordan S. Read; Paul C. Hanson; Hilary A. Dugan; Vipin Kumar 001 (CoRR, 2018)

A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network. - Louise C. Bruce; Marieke A. Frassl; George B. Arhonditsis; Gideon Gal; David P. Hamilton; Paul C. Hanson; Amy L. Hetherington; John M. Melack; Jordan S. Read; Karsten Rinke; Anna Rigosi; Dennis Trolle; et al. (Environ. Model. Softw., 2018)

Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. - Xiaowei Jia; Jared Willard; Anuj Karpatne; Jordan S. Read; Jacob Zwart; Michael S. Steinbach; Vipin Kumar 001 (SDM, 2019)

Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. - Xiaowei Jia; Jared Willard; Anuj Karpatne; Jordan S. Read; Jacob A. Zwart; Michael S. Steinbach; Vipin Kumar 001 (IGARSS, 2020)

Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling. - Arka Daw; R. Quinn Thomas; Cayelan C. Carey; Jordan S. Read; Alison P. Appling; Anuj Karpatne (SDM, 2020)

Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks. - Xiaowei Jia; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Steven Markstrom; Jared Willard; Shaoming Xu; Michael S. Steinbach; Jordan S. Read; Vipin Kumar 001 (CoRR, 2020)

Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning. - Jared D. Willard; Jordan S. Read; Alison P. Appling; Samantha K. Oliver; Xiaowei Jia; Vipin Kumar 001 (CoRR, 2020)

Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. - Shengyu Chen; Alison P. Appling; Samantha Oliver; Hayley Corson-Dosch; Jordan S. Read; Jeffrey M. Sadler; Jacob Zwart; Xiaowei Jia (ICDM, 2021)

Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. - Xiaowei Jia; Yiqun Xie; Sheng Li 001; Shengyu Chen; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Jordan S. Read (ICDM, 2021)

Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks. - Xiaowei Jia; Beiyu Lin; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Jordan S. Read (SDM, 2021)

Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. - Xiaowei Jia; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Steven Markstrom; Jared Willard; Shaoming Xu; Michael S. Steinbach; Jordan S. Read; Vipin Kumar 001 (SDM, 2021)

LakeEnsemblR: An R package that facilitates ensemble modelling of lakes. - Tadhg N. Moore; Jorrit P. Mesman; Robert Ladwig; Johannes Feldbauer; Freya Olsson; Rachel M. Pilla; Tom Shatwell; Jason J. Venkiteswaran; Austin D. Delany; Hilary Dugan; Kevin C. Rose; Jordan S. Read (Environ. Model. Softw., 2021)

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. - Xiaowei Jia; Jared Willard; Anuj Karpatne; Jordan S. Read; Jacob A. Zwart; Michael S. Steinbach; Vipin Kumar 001 (Trans. Data Sci., 2021)

Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling. - Kshitij Tayal; Xiaowei Jia; Rahul Ghosh; Jared Willard; Jordan S. Read; Vipin Kumar 001 (SDM, 2022)

Physics-guided machine learning from simulated data with different physical parameters. - Shengyu Chen; Nasrin Kalanat; Yiqun Xie; Sheng Li 001; Jacob A. Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha K. Oliver; Jordan S. Read; Xiaowei Jia (Knowl. Inf. Syst., 2023)