Sentence examples for structures of rainfall from inspiring English sources

This study provides a coherent theoretical framework between the field structures of rainfall accumulations over different durations.

On the basis of the EOF analysis of the pentad rainfall, we focused on a dominant pattern in the temporal and spatial structures of rainfall shown by EOF1: a pattern related to the summer rainy season with increases in rainfall from mid-May and decreases in rainfall toward mid-December throughout the Philippines.

The instruments now used to study the nature of rainfall are far more sophisticated: they reveal a new order in the seemingly chaotic structure of rainfall, helping us develop methods to use radar to more accurately measure and predict rainfall instead of just detecting it.

These statistics include the marginal distributions, the wet/dry sequences and the spatial dependence structure of rainfall.

This analysis shows the shortcomings of this algorithm, both in reproducing the temporal structure of rainfall depths and generating extreme events.

At weather scale, the EV models are combined with a state-based Markov model to represent the spatiotemporal structure of rainfall as weather states.

The degree of severity of each storm event for the city is shown to depend also on the extent of heavy rain areas and therefore on the spatial structure of rainfall intensities.

In this study, the copula method is used to separate the dependence structure of rainfall variables from their marginal distributions and the different impacts of dependence structure and marginal distributions on system performance are analysed.

While radar rainfall estimates have the advantage of well capturing the spatial structure of rainfall fields and its variation in time, the commonly available radar rainfall products (typically at ∼1 kmin–10 min resolution) may still fail to satisfy the accuracy and resolution – in particular temporal resolution – requirements of urban hydrology.

The results obtained in this study highlight the importance of taking into account the dependence structure of rainfall variables in the context of urban drainage system evaluation and also reveal the different impacts of dependence structure and marginal distributions on the probabilities of sewer flooding and CSO volume.

These in turn lead to large reductions in the amount of solar irradiance reaching Earth's surface, a corresponding increase in solar heating of the atmosphere, changes in the atmospheric temperature structure, suppression of rainfall, and less efficient removal of pollutants.