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

Research output: Contribution to journalArticle

Standard

The impact of spatial-temporal averaging on the dynamic-statistical properties of rain fields. / Yang, Guangguang; Ndzi, David; Grimont, Boris; Paulson, Kevin; Filip, Misha; Al-Hassani, Abdul-Hadi.

In: IEEE Transactions on Antennas and Propagation, 29.07.2019.

Research output: Contribution to journalArticle

Harvard

Yang, G, Ndzi, D, Grimont, B, Paulson, K, Filip, M & Al-Hassani, A-H 2019, 'The impact of spatial-temporal averaging on the dynamic-statistical properties of rain fields', IEEE Transactions on Antennas and Propagation. https://doi.org/10.1109/TAP.2019.2930137

APA

Yang, G., Ndzi, D., Grimont, B., Paulson, K., Filip, M., & Al-Hassani, A-H. (2019). The impact of spatial-temporal averaging on the dynamic-statistical properties of rain fields. IEEE Transactions on Antennas and Propagation. https://doi.org/10.1109/TAP.2019.2930137

Vancouver

Yang G, Ndzi D, Grimont B, Paulson K, Filip M, Al-Hassani A-H. The impact of spatial-temporal averaging on the dynamic-statistical properties of rain fields. IEEE Transactions on Antennas and Propagation. 2019 Jul 29. https://doi.org/10.1109/TAP.2019.2930137

Author

Yang, Guangguang ; Ndzi, David ; Grimont, Boris ; Paulson, Kevin ; Filip, Misha ; Al-Hassani, Abdul-Hadi. / The impact of spatial-temporal averaging on the dynamic-statistical properties of rain fields. In: IEEE Transactions on Antennas and Propagation. 2019.

Bibtex

@article{313894753be74494b8247fcb109ad26d,
title = "The impact of spatial-temporal averaging on the dynamic-statistical properties of rain fields",
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 ocean climate in North-Western 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.",
keywords = "RCUK, NERC",
author = "Guangguang Yang and David Ndzi and Boris Grimont and Kevin Paulson and Misha Filip and Abdul-Hadi Al-Hassani",
year = "2019",
month = "7",
day = "29",
doi = "10.1109/TAP.2019.2930137",
language = "English",
journal = "IEEE Transactions on Antennas and Propagation",
issn = "0018-926X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - The impact of spatial-temporal averaging on the dynamic-statistical properties of rain fields

AU - Yang, Guangguang

AU - Ndzi, David

AU - Grimont, Boris

AU - Paulson, Kevin

AU - Filip, Misha

AU - Al-Hassani, Abdul-Hadi

PY - 2019/7/29

Y1 - 2019/7/29

N2 - 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 ocean climate in North-Western 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.

AB - 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 ocean climate in North-Western 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.

KW - RCUK

KW - NERC

U2 - 10.1109/TAP.2019.2930137

DO - 10.1109/TAP.2019.2930137

M3 - Article

JO - IEEE Transactions on Antennas and Propagation

JF - IEEE Transactions on Antennas and Propagation

SN - 0018-926X

ER -

ID: 15113924