Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Jeongeun Won"'
Publikováno v:
Hydrology Research, Vol 54, Iss 12, Pp 1625-1640 (2023)
To assess vegetation drought, it is important to understand the relationship between climate and vegetation and to accurately measure the response of vegetation activity to meteorological drought. In this study, we used the vegetation health index (V
Externí odkaz:
https://doaj.org/article/5235478e729942cb9b3c9354064bb477
Publikováno v:
Atmosphere, Vol 14, Iss 8, p 1292 (2023)
The Standardized Precipitation Index (SPI) is a standardized measure of the variability of precipitation and is widely used for drought assessment around the world. In general, the probability distribution used to calculate the SPI in many studies is
Externí odkaz:
https://doaj.org/article/36a0f9dc24a04d1abdc23f304bd147c0
Autor:
Jeongeun Won, Sangdan Kim
Publikováno v:
Remote Sensing, Vol 15, Iss 2, p 337 (2023)
Droughts caused by meteorological factors such as a long-term lack of precipitation can propagate into several types of drought through the hydrological cycle. Among them, a phenomenon in which drought has a significant impact on the ecosystem can be
Externí odkaz:
https://doaj.org/article/430e3b87af67471f9f70a532bb04ef7e
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
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
Autor:
Kim, Jeongeun Won, Jiyu Seo, Jeonghoon Lee, Jeonghyeon Choi, Yoonkyung Park, Okjeong Lee, Sangdan
Publikováno v:
Water; Volume 15; Issue 13; Pages: 2485
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://explore.openaire.eu/search/publication?articleId=multidiscipl::b189cbfbc0402f4077295df3813de405
The Standardized Precipitation Index (SPI) is applied worldwide for drought assessment. In general, in many studies, SPI was estimated from a two-parameter gamma distribution. However, in other climatic regions, there are also studies that suggest th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e0439ddff3116a433d81e95f5eb2ead
https://doi.org/10.5194/egusphere-egu23-4931
https://doi.org/10.5194/egusphere-egu23-4931
Wetland ecosystems have complex interactions of physical and biogeochemical processes, but the first step toward restoring the health of wetland ecosystems is an accurate understanding of the water cycle in wetland ecosystems. In addition, a quantita
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c21f219f3044645923cbec34f598fe0b
https://doi.org/10.5194/egusphere-egu23-4884
https://doi.org/10.5194/egusphere-egu23-4884