Taereem Kim

Can artificial intelligence and data-driven machine learning models match or even replace process-driven hydrologic models for streamflow simulation?: A case study of four watersheds with different hydro-climatic regions across the CONUS

Taereem Kim, Tiantian Yang, Shang Gao et al. · Journal of Hydrology · 2021 · 144 citations · Full text

Natural Resources, Hydrology, Water Resources Management +17

A large-scale comparison of Artificial Intelligence and Data Mining (AI&DM) techniques in simulating reservoir releases over the Upper Colorado Region

Tiantian Yang, Lujun Zhang, Taereem Kim et al. · Journal of Hydrology · 2021 · 70 citations · Full text

Engineering, Computer Science, Petroleum Engineering +16

Spatial and temporal variations in rainfall erosivity and erosivity density in South Korea

Ju‐Young Shin, Taereem Kim, Jun‐Haeng Heo et al. · CATENA · 2019 · 58 citations

Natural Resources, Earth Sciences, Hydrology +15

Identification of relationships between climate indices and long-term precipitation in South Korea using ensemble empirical mode decomposition

Taereem Kim, Ju‐Young Shin, Sunghun Kim et al. · Journal of Hydrology · 2017 · 57 citations

Natural Sciences, Earth Sciences, Meteorology +17

Evaluation of Subseasonal-to-Seasonal (S2S) precipitation forecast from the North American Multi-Model ensemble phase II (NMME-2) over the contiguous U.S.

Lujun Zhang, Taereem Kim, Tiantian Yang et al. · Journal of Hydrology · 2021 · 50 citations · Full text

Natural Sciences, Earth Sciences, Meteorology +14