EGU26-6123, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-6123
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Machine learning modeling of soil moisture time series for a hillside at Sulmachun watershed, South Korea
SangHyun Kim and Dahong Kim
SangHyun Kim and Dahong Kim
  • Pusan National University, Environmental Engineeringrology, Busan, Korea, Republic of (kimsangh@pusan.ac.kr)

How to cite: Kim, S. and Kim, D.: Machine learning modeling of soil moisture time series for a hillside at Sulmachun watershed, South Korea, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6123, https://doi.org/10.5194/egusphere-egu26-6123, 2026.

This abstract has been withdrawn on 11 Aug 2026.