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Tae-Jin Oh

Observed name: Taejin Oh
ORCID: 0000-0002-0844-8307
Observed ORCID: 0000-0002-0844-8307
OpenAlex ID: A5049855230
Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting
2024 · Sojung An, Tae-Jin Oh, et al. · Expert Systems with Applications · 60
An Evaluation of the Software System Dependency of a Global Atmospheric Model
2013 · Song-You Hong, Myung-Seo Koo, et al. · Monthly Weather Review · 39
Vortex Merger in Shallow Water Model
2022 · Wen-Yih Sun, Tae-Jin Oh · Asia-Pacific Journal of Atmospheric Sciences · 7
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Divergence/Connection Preservation Scheme in the Curvilinear Domain with a Small Geometric Approximation Error
2022 · Sehun Chun, Taejin Oh · Journal of Scientific Computing · 2
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The development and testing of characteristic-based semi -Lagrangian two-dimensional shallow water equations model
2007 · Tae-Jin Oh · Purdue e-Pubs (Purdue University System) · 2
Corrigendum to “Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting” [Exp. Syst. Appl. 268 (2025) 126301]
2026 · Sojung An, Tae-Jin Oh, et al. · Expert Systems with Applications
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Development of AI-based precipitation forecasting at KIAPS
2026 · Tae-Jin Oh, In-Chae Na, et al. · EGU General Assembly Conference Abstracts
Deep learning model for six hour rainfall prediction
2023 · Inchae Na, Sojung An, et al.
Spectral Topography Generation for Arbitrary Grids
2015 · Tae-Jin Oh · AGU Fall Meeting Abstracts
Software system dependency of a global atmospheric model
2013 · Song‐You Hong, Myung‐Seo Koo, et al. · 한국기상학회 학술대회 논문집
Progress and plans for the dynamical core module development at KIAPS
2013 · Tae-Jin Oh, Tae-Hyeong Yi, et al. · 한국기상학회 학술대회 논문집
The KIAPS global NWP model development project at the Korea Institute of Atmospheric Prediction Systems (KIAPS.org)
2013 · Young‐Joon Kim, D. W. Shin, et al. · EGUGA
Works count: 12
Citation count: 110
H-index: 3
I10-index: 2
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