Deep causal learning for soil water dynamics: Exploring latent causality and improving predictive adaptability

Lijun Wang; Liangsheng Shi; Wenxiang Song; Leilei He; Yanling Wang; Shijie Jiang

doi:https://doi.org/10.5194/egusphere-egu24-9153

[Back] [Session HS3.5]

EGU24-9153, updated on 13 Nov 2025

https://doi.org/10.5194/egusphere-egu24-9153

EGU General Assembly 2024

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Deep causal learning for soil water dynamics: Exploring latent causality and improving predictive adaptability

Lijun Wang

^1,2, Liangsheng Shi², Wenxiang Song

², Leilei He², Yanling Wang², and Shijie Jiang

^1,3

Lijun Wang et al.

¹Max Planck Institute for Biogeochemistry, Jena, Germany
²State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China
³ELLIS Unit Jena, Jena, Germany

How to cite: Wang, L., Shi, L., Song, W., He, L., Wang, Y., and Jiang, S.: Deep causal learning for soil water dynamics: Exploring latent causality and improving predictive adaptability, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-9153, https://doi.org/10.5194/egusphere-egu24-9153, 2024.

This abstract has been withdrawn on 06 May 2024.