Inference of spatial scaling properties of rainfall: Impact of radar rainfall estimation uncertainties

Gabriele Villarini, Witold F. Krajewski

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The existence of relationships able to connect quantities across different spatio-temporal scales represents an attractive way of describing and characterizing the high spatial and temporal variability of the rainfall process. Several studies investigated the scaling properties of spatial rainfall, and in most of the cases, these analyses were performed using radar-based estimates of rainfall, which are notoriously affected by systematic and random uncertainties. The impact of these errors on the estimated scaling properties of spatial rainfall still remains an open question. By using an empirically based radar rainfall error model, the authors explore this issue by generating ensembles of probable true rainfall fields, conditioned on radar rainfall maps. Fifteen rainfall events over Oklahoma are analyzed, and it is shown how the presence of radar rainfall errors results in biased estimates of the scaling properties of rainfall.

Original languageEnglish (US)
Article number5196723
Pages (from-to)812-815
Number of pages4
JournalIEEE Geoscience and Remote Sensing Letters
Volume6
Issue number4
DOIs
StatePublished - Oct 2009

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Electrical and Electronic Engineering

Keywords

  • Error analysis
  • Radar
  • Rain
  • Scaling

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