Research output per year
Research output per year
Personal profile
Education
- 國立台灣大學 生物環境系統工程學系 博士
Research Interests
- 大數據分析
- 多尺度水文物理模型
- 多目標最佳化水資源管理
- 生態水文分析
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Improving River Routing Using a Differentiable Muskingum-Cunge Model and Physics-Informed Machine Learning
Bindas, T., Tsai, W. P., Liu, J., Rahmani, F., Feng, D., Bian, Y., Lawson, K. & Shen, C., 2024 Jan, In: Water Resources Research. 60, 1, e2023WR035337.Research output: Contribution to journal › Article › peer-review
Open Access10 Citations (Scopus) -
LSTM-Based Data Integration to Improve Snow Water Equivalent Prediction and Diagnose Error Sources
Song, Y., Tsai, W. P., Gluck, J., Rhoades, A., Zarzycki, C., McCrary, R., Lawson, K. & Shen, C., 2024 Jan, In: Journal of Hydrometeorology. 25, 1, p. 223-237 15 p.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling
Tsai, W. P., Feng, D., Pan, M., Beck, H., Lawson, K., Yang, Y., Liu, J. & Shen, C., 2021 Dec 1, In: Nature communications. 12, 1, 5988.Research output: Contribution to journal › Article › peer-review
Open Access124 Citations (Scopus) -
From hydrometeorology to river water quality: Can a deep learning model predict dissolved oxygen at the continental scale?
Zhi, W., Feng, D., Tsai, W. P., Sterle, G., Harpold, A., Shen, C. & Li, L., 2021 Feb 16, In: Environmental Science and Technology. 55, 4, p. 2357-2368 12 p.Research output: Contribution to journal › Article › peer-review
167 Citations (Scopus) -
Transferring Hydrologic Data Across Continents – Leveraging Data-Rich Regions to Improve Hydrologic Prediction in Data-Sparse Regions
Ma, K., Feng, D., Lawson, K., Tsai, W. P., Liang, C., Huang, X., Sharma, A. & Shen, C., 2021 May, In: Water Resources Research. 57, 5, e2020WR028600.Research output: Contribution to journal › Article › peer-review
80 Citations (Scopus)