The impact of spatial-temporal averaging on the dynamic-statistical properties of rain fields

Guangguang Yang, David Ndzi, Boris Grimont, Kevin Paulson, Misha Filip, Abdul-Hadi Al-Hassani

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
161 Downloads (Pure)

Abstract

Knowledge of the spatial-temporal variation of rain fields is required for the planning and optimization of wide area high frequency terrestrial and satellite communication networks. This paper presents data and a method for characterizing multi-resolutions statistical/dynamic parameters describing the spatial-temporal variation of rain fields across Europe. The data is derived from the NIMROD network of rain radars. The characterizing parameters include: (i) statistical distribution of point one-minute rainfall rates, (ii) spatial and temporal correlation function of rainfall rate and, (iii) the probability of rain/no-rain. The main contributions of this paper are the assessment of the impact of varying spatial and temporal integration lengths on these parameters, their dependencies on the integration volumes and area sizes, and the model for both temporal and spatial correlation parameters.
Original languageEnglish
Article numberAP1610-153
JournalIEEE Transactions on Antennas and Propagation
Volume67
Issue number10
Early online date29 Jul 2019
DOIs
Publication statusE-pub ahead of print - 29 Jul 2019

Keywords

  • Rainfall rate
  • Rain characteristics
  • Radio-wave propagation
  • Statistical model
  • Fitting
  • Modelling

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