Kyungpook National University · Daegu, Republic of Korea
We study high-impact storms and the wind, rainfall, and damage they bring. Our work runs along four lines: dynamics, predictability, climate, and risk.
What shapes the rain and wind a storm brings, and what governs the path it takes and how fast it travels. We study individual cases in detail, combining observations with dynamical model experiments, then test whether each mechanism holds across a larger sample of storms.
heavy rainfallwind guststracktranslational speed
Where short-range forecasts fail, and why. We take forecasts that missed — the wrong rainfall, the wrong intensity, the wrong track — and trace the error back to its cause. What the diagnosis shows then goes back into the model: sharper observations fed in at the start, and a better account of the physics inside it.
forecast error diagnosisdata assimilationmodel physics
How storm activity swings from year to year and decade to decade, and how much of that swing has come from warming. Finding what drives those swings is what makes a forecast for the season — or the decade — ahead possible. Model experiments carry the same question forward: how much activity to expect under the scenarios for the rest of this century.
long-term variability and changeseasonal-to-decadal forecastfuture projection
What a storm costs the places it reaches. We build fast, simple models that lay a storm's wind and rainfall onto the map at fine detail, and tie those fields to the losses actually recorded. Put together, the two sharpen the tools insurers and planners use to price storm risk.
parametric modeldamage functioncatastrophe model
We are glad to hear from anyone drawn to high-impact storms — how they work, how far ahead they can be predicted, how they are changing, and the damage they leave behind. Students, postdocs, and people arriving from other fields are all welcome to write; prior coding experience helps but is not required. Whether a position is funded depends on the year.
