Daeha Kim

Daeha Kim


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 April 2020 in Geophysical Research Letters
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KHKyung-Ja Ha
Kyung-Ja Ha
SMSuyeon Moon
Suyeon Moon
ATAxel Timmermann
Axel Timmermann
DKDaeha Kim
Daeha Kim
Future greenhouse warming is expected to influence the characteristics of global monsoon systems. However, large regional uncertainties still remain. Here we use 16 Coupled Model Intercomparison Project Phase 6 (CMIP6) models to determine how the length of the summer rainy season and precipitation extremes over the Asian summer monsoon domain will change in response to greenhouse warming. Over East Asia the models simulate on average on the earlier onset and later retreat; whereas over India, the retreat will occur later. The model simulations also show an intensification of extreme rainfall events, as well as an increase of seasonal drought conditions. These results demonstrate the high volatility of the Asian summer monsoon systems and further highlight the need for improved water management strategies in this densely populated part of the world.

11 October 2016 in Geophysical Research Letters
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DKDaeha Kim
Daeha Kim
JRJinyoung Rhee
Jinyoung Rhee


22 March 2018 in Water
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Journal Article
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Jong Ahn ChunJong Ahn Chun
Jong Ahn Chun
CLChangmook Lim
Changmook Lim
DKDaeha Kim
Daeha Kim
JKJin Sung Kim
Jin Sung Kim
The objectives of this study were to assess the climate change impacts on sea-level rise (SLR) and freshwater recharge rates and to investigate these SLR and freshwater recharge rates on seawater intrusion in coastal groundwater systems through the Saturated-Unsaturated Transport (SUTRA) model. The Gunsan tide gauge station data were used to project SLR based on polynomial regressions. Freshwater recharge rates were assumed as 10% of the projected annual precipitation under climate change. The Byeonsan2 groundwater monitoring well for seawater intrusion was selected for the study. A total of 15 scenarios, including the baseline period (2005–2015), were made based on SLR projections and estimated freshwater recharge rates. The changes in salinity relative to the baseline at the monitoring well for each scenario were investigated through the SUTRA model. From the scenario of 0.57 m SLR with a freshwater recharge rate of 0.0058 kg s−1, the largest salinity increase (40.3%) was simulated. We concluded that this study may provide a better understanding of the climate change impacts on seawater intrusion by considering both SLR and freshwater recharge rates.

1 January 2020 in Journal of Hydrology
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Journal Article
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CKChristelle Kyatengerwa
Christelle Kyatengerwa
DKDaeha Kim
Daeha Kim
MCMinha Choi
Minha Choi