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Regarding events of 14th, which caused 19 fatalities in Oman (compared to 1 in UAEreported for the UAE event on 16th) the plots below show the ecPoint 99th percentile from leads of 8, 4 and 2 days in advance. We don't have many measurements, but very dramatic floodwater videos, and data we do have, suggest that 100-500mm very probably fell in a short period of time in hills/mountains north of the crosshairs marker on the plots. Here there is again a signal well in advance (though at a lower level than for 16th events given that this is the 99th percentile). This signal grew markedly in forecasts from 4 to 2 days in advance. For comparison, the last plot below shows the equivalent 99th percentile from the raw ENS output (=max in the ENS here). As is usual for a high percentile, raw ENS values are generally notably less than ecPoint, and much more noisy. Just locally the raw ENS can give a much higher value than ecPoint, if for example there is a marked outlier, as shown by the CDF example.

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