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Wei, Siqi; Wang, Xiekang (2026) Physics-informed gated transformer for robust flash flood forecasting in data-scarce small catchments via variance-constrained learning. Journal of Hydrology, 676. doi:10.1016/j.jhydrol.2026.135706

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Reference TypeJournal (article/letter/editorial)
TitlePhysics-informed gated transformer for robust flash flood forecasting in data-scarce small catchments via variance-constrained learning
JournalJournal of Hydrology
AuthorsWei, SiqiAuthor
Wang, XiekangAuthor
Year2026 (August)Volume676
PublisherElsevier BV
DOIdoi:10.1016/j.jhydrol.2026.135706Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID20043891Long-form Identifiermindat:1:5:20043891:1
GUID0
Full ReferenceWei, Siqi; Wang, Xiekang (2026) Physics-informed gated transformer for robust flash flood forecasting in data-scarce small catchments via variance-constrained learning. Journal of Hydrology, 676. doi:10.1016/j.jhydrol.2026.135706
Plain TextWei, Siqi; Wang, Xiekang (2026) Physics-informed gated transformer for robust flash flood forecasting in data-scarce small catchments via variance-constrained learning. Journal of Hydrology, 676. doi:10.1016/j.jhydrol.2026.135706
In(2026) Journal of Hydrology Vol. 676. Elsevier BV

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Not Yet Imported: - journal-article : 10.1080/02626667.2024.2332616

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Chiu (2025) IEEE Trans. Instrum. Meas. Temporal attention with gated residual network for stepwise multimodal trajectory prediction 74, 1
Debbarma (2025) Environ Model. Assess. Streamflow simulation using a hybrid approach combining HEC-HMS and LSTM model in the Tlawng River Basin of Mizoram, India 30, 591
Not Yet Imported: - journal-article : 10.1007/s11269-024-03811-1

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Gao (2025) Water Resour. Manage. Reference crop evapotranspiration prediction based on gated recurrent unit with quantum inspired multi-head self-attention mechanism 39, 1481
Not Yet Imported: Meteorological Applications - journal-article : 10.1002/met.2079

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Not Yet Imported: CLEAN – Soil, Air, Water - journal-article : 10.1002/clen.202000381

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Guo (2025) Water Runoff prediction in the Xiangxi river basin under climate change: the application of the HBV-XGBoost coupled model 17, 2420
Not Yet Imported: - journal-article : 10.3390/rs15163991

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Not Yet Imported: Water - journal-article : 10.3390/w14132017

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Not Yet Imported: - journal-article : 10.1080/02626667.2013.803183

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Not Yet Imported: Water Resources Management - journal-article : 10.1007/s11269-023-03713-8

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Not Yet Imported: - journal-article : 10.1038/s42254-021-00314-5

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Ke (2024) Water Resour. Manage. Xinanjiang-based interval forecasting model for daily streamflow considering climate change impacts 38, 5507
Khattab (2025) Hydrology Evaluation of the soil conservation service curve number (SCS-CN) method for flash flood runoff estimation in arid regions: a case study of central Eastern Desert, Egypt 12, 54
Li (2025) PLoS One Multi-dimensional water quality indicators forecasting from IoT sensors: a tensor decomposition and multi-head self-attention mechanism 20
Lundberg, S.M., Lee, S.-I., 2017. A unified approach to interpreting model predictions. In: Advances in Neural Information Processing Systems 30 (NeurIPS), 4765-4774.
Lyne (2025) J. Hydrol. X AutoVL: Automated streamflow separation for changing catchments and climate impact analysis 26
Nagy (2024) J. Hydrol. Calibrating the Lyne-Hollick filter for baseflow separation based on catchment response time 638
Rijal (2025) Arch. Comput. Meth. Eng. Mountainous flood resilience: a comprehensive systematic review of flood analysis methods
Shi, X., Chen, Z., Wang, H., Yeung, D.-Y., Wong, W.-K., Woo, W.-C., 2015. Convolutional LSTM network: a machine learning approach for precipitation nowcasting. In: Advances in Neural Information Processing Systems 28 (NeurIPS), pp. 802–810.
Spiridonov (2025) Meteorol. Hydrol. Water Manage. A winter flash flood in Skenderaj, Kosovo: heavy rainfall analysis and early warning perspectives
Trošelj (2023) Geomat. Nat. Haz. Risk Real-time flash flood forecasting approach for development of early warning systems: integrated hydrological and meteorological application 14
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I., 2017. Attention is all you need. In: Advances in Neural Information Processing Systems 30 (NeurIPS), pp. 5998–6008.
Not Yet Imported: - journal-article : 10.1016/j.scitotenv.2020.142977

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Zhang (2022) Int. J. Appl. Earth Obs. Geoinf. Mapping homogeneous regions for flash floods using machine learning: a case study in Jiangxi province, China 108
Not Yet Imported: - journal-article : 10.1016/j.iswcr.2021.09.003

If you would like this item imported into the Digital Library, please contact us quoting Journal ID


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