Author(s): Yunseop Song; Seungwoo Lee; Wooyoung Na
Linked Author(s): Wooyoung Na
Keywords: Biomass dynamics; Cloud seeding; Ecohydrological modeling; Forest fire recovery
Abstract: This study evaluates the effects of cloud seeding on post-fire vegetation recovery using the 3PG ecohydrological model in the Samcheok–Uljin wildfire region. Model inputs included ASOS meteorological data, ERA5-Land reanalysis, and MODIS satellite products. Simulations for 2010–2065 under the SSP2-4.5 scenario showed that cloud seeding accelerated the recovery of LAI, GPP, and NPP by 2–4 years and increased biomass by 2.6% relative to the baseline. The benefits were more pronounced in high-severity burn areas. The results suggest that cloud seeding can enhance both early recovery and long-term carbon sequestration, offering valuable implications for climate-resilient forest restoration strategies.
Year: 2026