Rainfall disaggregation is the process of transforming coarse-scale rainfall data, typically collected over long time intervals (like daily or monthly), into finer temporal resolutions (such as hourly or minute intervals). This is essential for hydrological modeling, flood forecasting, and agricultural planning, as it allows for a more accurate representation of rainfall events. Techniques used in disaggregation can include statistical methods, stochastic models, and machine learning approaches, which aim to preserve the statistical properties of the original data while providing more detailed insights.
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