Characteristics of the Underestimation Error of Annual Maximum Rainfall Depth Due to Coarse Temporal Aggregation

Characteristics of the Underestimation Error of Annual Maximum Rainfall Depth Due to Coarse Temporal Aggregation

This study analyzed all characteristics of the error committed in evaluating annual maximum rainfall depth, Hd, associated with a given duration, d, when data with coarse temporal aggregation, ta, were used. It is well known that when ta = 1 min, this error is practically negligible while coarser te...

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Bibliographic Details
Main Authors: Renato Morbidelli, Carla Saltalippi, Alessia Flammini, Tommaso Picciafuoco, Jacopo Dari, Corrado Corradini
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Atmosphere
Subjects:
rainfall data
temporal aggregation
annual maximum rainfall depths
underestimated errors
Online Access:http://www.mdpi.com/2073-4433/9/8/303

Internet

http://www.mdpi.com/2073-4433/9/8/303

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