Prediction of monthly rainfall statistics from data with long integration time. Issue 17 (1st August 2013)

• Record Type: Journal Article
• Authors: Luini, L.; Capsoni, C.
• Is Part Of: Electronics letters. Volume 49:Issue 17(2013)
• Page Start: 1104
• Page End: 1106
• Publication Date: 2013-08-01
• Subjects: rain -- weather forecasting; monthly rainfall statistics -- integration time -- conversion models -- monthly 1‐min integrated statistics -- rain attenuation statistics -- monthly raingauge‐derived rainfall data -- Exponential CELL rainfall statistics conversion -- Lavergnat‐Gole models -- 1‐min integrated rainfall statistics; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2013.2088
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : Conversion models, originally devised to turn yearly rainfall statistics from long (e.g. 30 or 60 min) to short integration time T (i.e. 1 min), are assessed for their ability to also predict monthly 1‐min integrated statistics, P ( R )1 m, knowledge of which may be beneficial for specific services (e.g. reconfigurable systems) and for the definition of a reliable approach to estimate monthly (hence worst month) rain attenuation statistics. Tests, performed for 5 ≤ T ≤ 60 min against monthly raingauge‐derived rainfall data collected in some sites worldwide, indicate that the EXponential CELL rainfall statistics conversion (EXCELL RSC) and Lavergnat‐Golé models, in force of their physical soundness, provide a good performance when used to predict 1‐min integrated rainfall statistics both on yearly and on monthly bases.