Sentence examples for mean areal rainfall from inspiring English sources

We introduce and compare two different approaches to estimate mean areal rainfall intensity in urban catchments.

As such, a radar derived IDF curve is representative of the mean areal rainfall over a given radar pixel and neglects the within-pixel rainfall variability.

To perform the study, firstly, the mean areal rainfall estimated by different rain gauge densities using various statistical indices as evaluation criteria was analysed.

Also, a region based (upper and middle regions of Mahanadi basin) analysis of extreme rainfall is carried out using daily mean areal rainfall.

We examined the daily and 24-h mean areal rainfall over the entire Panama Canal Watershed with the Generalized Extreme Value, Gumbel, and Generalized Pareto distributions using the maximum likelihood approach for the parameter and uncertainty bounds estimation.

The results show that the error range of the indices in analysing mean areal rainfall and simulated runoff narrowed gradually with increasing number of rain gauges up to some threshold, and beyond which the model performance did not show considerable improvements.

It was found that the mean areal extreme rainfall derived from the radar underestimate most of the extreme values computed for point locations within the radar pixel (on average, ∼70%).

Areal rainfall correction coefficients are often used to cope with this problem.

Weather radar provides areal rainfall information with very high temporal and spatial resolution.

Analysis of an individual 18-h rainfall event revealed that the uncertainty in peak areal rainfall estimated using one rain gauge may range between −100% and 600%.

In catchment models it is particularly important to correctly proportion diffuse (areal) rainfall recharge and to account for the lag between rainfall and recharge at the water table.