Zobrazeno 1 - 10
of 692
pro vyhledávání: '"Joon Jin"'
Publikováno v:
Atmosphere, Vol 15, Iss 8, p 1018 (2024)
Accurately generating high-resolution surface grid datasets often involves merging multiple weather observation networks and addressing the challenge of network heterogeneity. This study aims to tackle the problem of accurately interpolating temperat
Externí odkaz:
https://doaj.org/article/e636fb85c1f749cc892be6e9dfe077d3
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 1, Pp n/a-n/a (2024)
Abstract Retrieving raindrop size distribution (DSD) is essential to understanding precipitation processes. Conventional approaches based on polarimetric radar (e.g., polynomial regression) struggle to accurately capture the inherent nonlinearity bet
Externí odkaz:
https://doaj.org/article/2e0811bfe2db4d84835083c47184a97c
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3820 (2022)
An accurate classification of the precipitation type is important for forecasters, particularly in the winter season. We explored the capability of three supervised machine learning (ML) methods (decision tree, random forest, and support vector machi
Externí odkaz:
https://doaj.org/article/58199e7c6338470c84e937389703928c
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2039 (2021)
Estimating precipitation area is important for weather forecasting as well as real-time application. This paper aims to develop an analytical framework for efficient precipitation area estimation using S-band dual-polarization radar measurements. Sev
Externí odkaz:
https://doaj.org/article/90fb894f34d0416598b5e31fab48f3fc
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 694 (2021)
Traditional radar-based rainfall estimation is typically done by known functional relationships between the rainfall intensity (R) and radar measurables, such as R–Zh, R–(Zh, ZDR), etc. One of the biggest advantages of machine learning algorithms
Externí odkaz:
https://doaj.org/article/0a75ba9e208943609f76584532751f25
Publikováno v:
Mathematics, Vol 8, Iss 10, p 1678 (2020)
Recently, the area of sea ice is rapidly decreasing due to global warming, and since the Arctic sea ice has a great impact on climate change, interest in this is increasing very much all over the world. In fact, the area of sea ice reached a record l
Externí odkaz:
https://doaj.org/article/c828cbe4044f45fbbe5df0ee32ec63a9
Autor:
Chur Hoan Lim, Ji Hyun Han, Joon Jin, Ji Eun Yu, Jin Ook Chung, Dong Hyeok Cho, Dong Jin Chung, Min Young Chung
Publikováno v:
Endocrinology and Metabolism, Vol 30, Iss 4, Pp 502-508 (2015)
BackgroundWe investigated the prevalence of electrolyte imbalance and the relationship between serum electrolyte and anterior pituitary hormone levels in patients with Sheehan's syndrome.MethodsIn a retrospective study, we investigated 78 patients wi
Externí odkaz:
https://doaj.org/article/725408202c8047609bc3b2730eb4f6b5
Publikováno v:
In Spatial Statistics March 2024 59
Autor:
Carmon, Nimrod, Berk, Alexander, Bohn, Niklas, Brodrick, Phillip G., Dozier, Jeff, Johnson, Margaret, Miller, Charles E., Thompson, David R., Turmon, Michael, Bachmann, Charles M., Green, Robert O., Eckert, Regina, Liggett, Elliott, Nguyen, Hai, Ochoa, Francisco, Okin, Gregory S., Samuels, Rory, Schimel, David, Song, Joon Jin, Susiluoto, Jouni
Publikováno v:
In Remote Sensing of Environment 1 April 2023 288
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