Jordan S. Read

Orcid: 0000-0002-3888-6631

According to our database1, Jordan S. Read authored at least 21 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Physics-guided machine learning from simulated data with different physical parameters.
Knowl. Inf. Syst., 2023

2022
Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

2021
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles.
Trans. Data Sci., 2021

LakeEnsemblR: An R package that facilitates ensemble modelling of lakes.
Environ. Model. Softw., 2021

Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems.
Proceedings of the IEEE International Conference on Data Mining, 2021

Heterogeneous Stream-reservoir Graph Networks with Data Assimilation.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning.
CoRR, 2020

Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks.
CoRR, 2020

Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

2018
A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network.
Environ. Model. Softw., 2018

Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes.
CoRR, 2018

2017
Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling.
CoRR, 2017

2016
sbtools: A Package Connecting R to Cloud-based Data for Collaborative Online Research.
R J., 2016

2015
Automated calculation of surface energy fluxes with high-frequency lake buoy data.
Environ. Model. Softw., 2015

Supporting Open Collaboration in Science Through Explicit and Linked Semantic Description of Processes.
Proceedings of the Semantic Web. Latest Advances and New Domains, 2015

2012
Time-scale dependence in numerical simulations: Assessment of physical, chemical, and biological predictions in a stratified lake at temporal scales of hours to months.
Environ. Model. Softw., 2012

2011
Derivation of lake mixing and stratification indices from high-resolution lake buoy data.
Environ. Model. Softw., 2011


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