The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Improving AI System Awareness of Geoscience Knowledge: Symbiotic Integration of Physical Approaches and Deep Learning
Open accessAbstract
Modeling dynamic geophysical phenomena is at the core of Earth and environmental studies. The geoscientific community relying mainly on physical representations may want to consider much deeper adoption of artificial intelligence (AI) instruments in the context of AI's global success and emergence of big Earth data. A new perspective of using hybrid physics‐AI approaches is a grand vision, but actualizing such approaches remains an open question in geoscience. This study develops a general approach to improving AI geoscientific awareness, wherein physical approaches such as temporal dynamic geoscientific models are included as special recurrent neural layers in a deep learning architecture. The illustrative case of runoff modeling across the conterminous United States demonstrates that the physics‐aware DL model has enhanced prediction accuracy, robust transferability, and good intelligence for inferring unobserved processes. This study represents a firm step toward realizing the vision of tackling Earth system challenges by physics‐AI integration.
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Cited by
Feng, D., Beck, H., Lawson, K., & Shen, C. (2023) · Hydrology and Earth System Sciences · doi:10.5194/hess-27-2357-2023 · Cited by 197
Assessing the Physical Realism of Deep Learning Hydrologic Model Projections Under Climate Change
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Metadata
- Authors
- Jiang, S., Zheng, Y., & Solomatine, D.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2020-07
- Volume
- 47
- Issue
- 13
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W3034385753
- Cited by
- 365
- References
- 51
- FWCI
- 12.95
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Funders
- National Natural Science Foundation of China (51961125203, 41622111, 91647201)
- Chinese Academy of Sciences (XDA20100104)
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