@Article{nhess-26-2353-2026,
AUTHOR = {Liu, Z. and Yang, H. and Yang, D.},
TITLE = {Enhancing hydrological hazard early warning: a 60\,d streamflow forecasting
framework integrating deep learning and process-based modeling},
JOURNAL = {Natural Hazards and Earth System Sciences},
VOLUME = {26},
YEAR = {2026},
NUMBER = {5},
PAGES = {2353--2366},
URL = {https://nhess.copernicus.org/articles/26/2353/2026/},
DOI = {10.5194/nhess-26-2353-2026}
}