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 Steinbach; Vipin Kumar

doi:10.1109/IGARSS39084.2020.9323723

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 Steinbach, Vipin Kumar

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

In this paper, we introduce a new paradigm that combines scientific knowledge within process-based models and machine learning models to advance scientific discovery in many physical systems. We will describe how to incorporate physical knowledge in real-world dynamical systems as additional constraints for training machine learning models and how to leverage the hidden knowledge encoded by existing process-based models. We evaluate this approach on modeling lake water temperature and demonstrate its superior performance using limited training data and the improved generalizability to different scenarios.

Original language	English (US)
Title of host publication	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3494-3496
Number of pages	3
ISBN (Electronic)	9781728163741
DOIs	https://doi.org/10.1109/IGARSS39084.2020.9323723
State	Published - Sep 26 2020
Event	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Virtual, Waikoloa, United States Duration: Sep 26 2020 → Oct 2 2020

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Country/Territory	United States
City	Virtual, Waikoloa
Period	9/26/20 → 10/2/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Deep Learning
Lake Temperature Modeling
Physical Systems

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10.1109/IGARSS39084.2020.9323723

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Jia, X., Willard, J., Karpatne, A., Read, J. S., Zwart, J. A., Steinbach, M., & Kumar, V. (2020). Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. In 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings (pp. 3494-3496). Article 9323723 (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS39084.2020.9323723

Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. / Jia, Xiaowei; Willard, Jared; Karpatne, Anuj et al.
2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. p. 3494-3496 9323723 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jia, X, Willard, J, Karpatne, A, Read, JS, Zwart, JA, Steinbach, M & Kumar, V 2020, Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. in 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings., 9323723, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., pp. 3494-3496, 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Virtual, Waikoloa, United States, 9/26/20. https://doi.org/10.1109/IGARSS39084.2020.9323723

Jia X, Willard J, Karpatne A, Read JS, Zwart JA, Steinbach M et al. Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. In 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. p. 3494-3496. 9323723. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS39084.2020.9323723

Jia, Xiaowei ; Willard, Jared ; Karpatne, Anuj et al. / Process Guided Deep Learning for Modeling Physical Systems : An Application in Lake Temperature Modeling. 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 3494-3496 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling

Abstract

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Keywords

Access

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