Figure 2 shows the hourly rainfall derived from precipitation data observed by the radar network of the Japan Meteorological Agency JMAA).
Bounding the range of the subpixel extreme rainfall derived from radar IDF can be of major importance for different applications that require very local estimates of rainfall extremes.
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%).
This is because compared to the empirical scaling, which uses rainfall derived from as many as 10 different parameterisations in the GCMs, the analogue method uses a single relationship between synoptic atmospheric fields and rainfall for all the GCMs.
The two most suitable covariates for rainfall interpolation were identified as (i) distance in wind direction from the main orographic barrier and as (ii) a 0.05° pattern of mean annual rainfall derived from satellite data acquired by the Tropical Rainfall Measuring Mission (TRMM).
This increase is attributed to the larger rainfall component derived from lower elevations between Loma Linda and Pueblo.
Comparison between the rainfall thresholds derived from DFRs and MRs revealed that uncertainty in rainfall estimation has a major impact on estimated intensity duration thresholds.
With the predicted rainfall data derived from the NWP, which are automatically downloaded, hydrological models will be driven to run on the cloud.
Rainfall inputs are derived from Next Generation Radar (NEXRAD).
For these same events, the corresponding rainfall thresholds are derived from MR observations.
