Spatiotemporal Patterns of Temperature, Precipitation, Wind, and Sunshine Extremes in the Seomjin and Yeongsan River Basins (2020--2023)
Keywords:
Extreme weather, Seomjin River, Yeongsan River, ASOS, AWS, PRISM, GIS interpolation, agriculture.Abstract
Extreme weather risks agriculture in S. Korea's Seomjin/Yeongsan basins. Used KMA ASOS/AWS obs (2020-2023) to study spatiotemporal extremes: temp, precip, wind, sunshine. Data summarized by yr/loc. Spatial fields generated via GIS interpolation (30m to 270m res); precip used PRISM-style topo adj.Both basins showed fluctuating min temps (higher near coast). Extreme daily min temps varied between even/odd yrs; max temps stable but basin-avg max increased (34.1C in 2020 to 35.3C in 2023). Precip extremes varied greatly: max $361.3 \text{ mm/day}$ (Sunchang, 2020); gridded max approx $280 \text{ mm/day}$ (Seomjin). Seomjin NE had higher max precip than SW (topo control). Max inst wind $\approx 47.4 \text{ m/s}$ (Heuksan Isl); max daily sunshine $13.6 \text{ h}$ (coast). Topo influences & agri implications discussed. Results descriptive, not inferential (short 4-yr period). Future work should use standardized indices & cross-validated interpolation.References
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