The impact of spatial-temporal averaging on the dynamic-statistical properties of rain fields
- Submitting institution
-
University of the West of Scotland
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 14535594
- Type
- D - Journal article
- DOI
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10.1109/TAP.2019.2930137
- Title of journal
- IEEE Transactions on Antennas and Propagation
- Article number
- AP1610-153
- First page
- -
- Volume
- 67
- Issue
- 10
- ISSN
- 0018-926X
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper addresses key challenges in rain measurements, prediction and modelling due to variations in time and space for large area high frequency wireless systems. It uses high resolution data to develop models for scientists and engineers to estimate rain statistics at different time-space scales throughout N.W. Europe eliminating the challenges and cost of high resolution measurements. This work has attracted interest from the Government of Guangdong Province in China who are interested in rain modelling for flood prediction and mitigation. Funding application for conducting similar studies in Guangdong Province is currently being prepared.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -