CHANGE SEMANTIC CONSTRAINED ONLINE DATA CLEANING METHOD FOR REAL-TIME OBSERVATIONAL DATA STREAM

Our study developed a preliminary dataset of catchment attributes and meteorological variables covering 544 basins in China, and evaluated the applicability of process-based models, the long short-term memory model, and hybrid modeling methods. Results highlight the critical role of meteorological data quality and the potential of hybrid approaches. Our findings support model selection and offer reference for regions with limited observational data.

Ocean tides and mean sea level (MSL) can show correlations of short-term variability in addition to the long-term trends, which may combine to increase total water levels at multiple timescales. Such changes may have implications for short-term high-water events such as nuisance flooding. This work analyses the variability in tides in the Hong Kong region to find that small changes in MSL may amplify tidal changes in Hong Kong, suggesting a strong sensitivity of water levels in the region.