Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Okjeong Lee"'
Publikováno v:
Water Supply, Vol 21, Iss 8, Pp 4153-4162 (2021)
In this study, non-stationary frequency analysis was carried out to apply non-stationarity of extreme rainfall driven by climate change using the scale parameter of two parameters of the Gumbel distribution (GUM) as a co-variate function. The surface
Externí odkaz:
https://doaj.org/article/2109865531ba44708ce9f049c2df4c2f
Autor:
Jeongeun Won, Jiyu Seo, Jeonghoon Lee, Jeonghyeon Choi, Yoonkyung Park, Okjeong Lee, Sangdan Kim
Publikováno v:
Water, Vol 15, Iss 13, p 2485 (2023)
River runoff predictions in ungauged basins are one of the major challenges in hydrology. In the past, the approach using a physical-based conceptual model was the main approach, but recently, a solution using a data-driven model has been evaluated a
Externí odkaz:
https://doaj.org/article/701ce40c7382417ca8ecb07dc54ceb48
Autor:
Jeonghoon Lee, Okjeong Lee, Jeonghyeon Choi, Jiyu Seo, Jeongeun Won, Suhyung Jang, Sangdan Kim
Publikováno v:
Water, Vol 15, Iss 9, p 1794 (2023)
The effect of mountainous regions with high elevation on hourly timescale rainfall presents great difficulties in flood forecasting and warning in mountainous areas. In this study, the hourly rainfall–elevation relationship of the regional scale is
Externí odkaz:
https://doaj.org/article/20337079515f41419e390bccaaa3db0f
Publikováno v:
Remote Sensing, Vol 13, Iss 24, p 5103 (2021)
Since vegetation is closely related to a variety of hydrological factors, the vegetation condition during a drought is greatly affected by moisture supply or moisture demand from the atmosphere. However, since feedback between vegetation and climate
Externí odkaz:
https://doaj.org/article/d94b2578e2aa4d07a4578f577fd52305
Autor:
Okjeong Lee, Sangdan Kim
Publikováno v:
Atmosphere, Vol 12, Iss 6, p 782 (2021)
The extreme climates that occur around the world every year have a profound impact on the quality of life for mankind since they can cause natural disasters beyond our control, such as droughts and floods [...]
Externí odkaz:
https://doaj.org/article/cfb97f132c20438ba03e62db872e6571
Publikováno v:
Atmosphere, Vol 12, Iss 2, p 227 (2021)
Interest in future rainfall extremes is increasing, but the lack of consistency in the future rainfall extremes outputs simulated in climate models increases the difficulty of establishing climate change adaptation measures for floods. In this study,
Externí odkaz:
https://doaj.org/article/bc76bfdc35f74da090f1e23276a2b810
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 756 (2021)
Using modelling approaches to predict stream flow from ungauged basins requires new model calibration strategies and evaluation methods that are different from the existing ones. Soil moisture information plays an important role in hydrological appli
Externí odkaz:
https://doaj.org/article/a79ae0c8053e4fe18ccf5bd7dee74bc0
Publikováno v:
Atmosphere, Vol 11, Iss 5, p 476 (2020)
Studies using drought index to examine return levels of drought can be classified into two approaches: univariate frequency analysis using annual series extracted from drought index time series and multivariate frequency analysis that simultaneously
Externí odkaz:
https://doaj.org/article/c41c30121d81455592f18ae1e82423e3
Publikováno v:
Atmosphere, Vol 11, Iss 1, p 22 (2019)
One of the most common ways to investigate changes in future rainfall extremes is to use future rainfall data simulated by climate models with climate change scenarios. However, the projected future design rainfall intensity varies greatly depending
Externí odkaz:
https://doaj.org/article/23fee6d7fd224a63ade1176ba404e446
Publikováno v:
Water, Vol 11, Iss 4, p 771 (2019)
Looking at future data obtained from global climate models, it is expected that future extreme rainfall will increase in many parts of the world. The Clausius-Clapeyron equation provides a physical basis for understanding the sensitivity of rainfall
Externí odkaz:
https://doaj.org/article/0fe1cf800f474e41a404980addd3b6c1