Kuk‐Hyun Ahn
Biographic Data
| ID | 7993750 |
|---|---|
| NAME | Kuk‐Hyun Ahn |
| GIVEN NAMES | Kuk‐Hyun |
| FAMILY NAME | Ahn |
| SIGNATURE | AHN K H |
| AFFILIATIONS | Kongju National University |
| ORCID | 0000-0001-8142-0813 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Understanding the 2023 compound dry hazard events across the pan-Asian region
Amid a global trend of intensifying climate extremes, 2023 marked Earth’s hottest year on record that triggered widespread disruptions. As global warming continues, understanding the compound events (CEs) characterized by dry hazards is crucial especially in Asia, where dense populations heighten vulnerability. This study examines the intricate characteristics of 2023 compound heatwave, drought, and fire (CHDF) events in Asia by analyzing spatial…
Understanding the influence of hydrologic parameter uncertainty on Community Water Model predictions: A diagnostic assessment through extensive ensemble simulations
Global hydrological models have been used to analyze Earth’s hydrological cycle and evaluate water scarcity risks. Despite their significance, a comprehensive investigation into the effects of parametric uncertainty on their hydrologic predictions across diverse regions and flow characteristics remains lacking. This study contributes by detailing how variations in the response of the Community Water Model (CWatM) can be linked to the uncertainty …
Understanding extreme precipitation scaling with temperature: Insights from multi-spatiotemporal analysis in South Korea
With global warming, the intensification of extreme precipitation events is anticipated to follow an exponential growth pattern aligned with the Clausius–Clapeyron (CC) scaling rate (approximately 7% per degree Celsius). However, the regional-scale response of extreme precipitation shows significant variability, deviating from the expected CC rate. This deviation is likely caused by diverse weather patterns and local fluctuations in thermodynamic…
No prominent works on this page.
Understanding extreme precipitation scaling with temperature: Insights from multi-spatiotemporal analysis in South Korea
With global warming, the intensification of extreme precipitation events is anticipated to follow an exponential growth pattern aligned with the Clausius–Clapeyron (CC) scaling rate (approximately 7% per degree Celsius). However, the regional-scale response of extreme precipitation shows significant variability, deviating from the expected CC rate. This deviation is likely caused by diverse weather patterns and local fluctuations in thermodynamic…
Understanding the 2023 compound dry hazard events across the pan-Asian region
Amid a global trend of intensifying climate extremes, 2023 marked Earth’s hottest year on record that triggered widespread disruptions. As global warming continues, understanding the compound events (CEs) characterized by dry hazards is crucial especially in Asia, where dense populations heighten vulnerability. This study examines the intricate characteristics of 2023 compound heatwave, drought, and fire (CHDF) events in Asia by analyzing spatial…
Understanding the influence of hydrologic parameter uncertainty on Community Water Model predictions: A diagnostic assessment through extensive ensemble simulations
Global hydrological models have been used to analyze Earth’s hydrological cycle and evaluate water scarcity risks. Despite their significance, a comprehensive investigation into the effects of parametric uncertainty on their hydrologic predictions across diverse regions and flow characteristics remains lacking. This study contributes by detailing how variations in the response of the Community Water Model (CWatM) can be linked to the uncertainty …
Climatology (2 works) · Environmental Science (2 works) · Geology (2 works) · Mathematics (2 works) · Atmospheric sciences (1 works) · Climate change (1 works) · Climate variability and models (1 works) · Computer Science (1 works) · Dew point (1 works) · East Asia (1 works)