Back to Search Start Over

Correcting for Mobile X-Band Weather Radar Tilt Using Solar Interference

Authors :
David Dufton
Lindsay Bennett
John R. Wallbank
Ryan R. Neely
Source :
Remote Sensing, Vol 15, Iss 24, p 5637 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Precise knowledge of the antenna pointing direction is a key facet to ensure the accuracy of observations from scanning weather radars. The sun is an often-used reference point to aid accurate alignment of weather radar systems and is particularly useful when observed as interference during normal scanning operations. In this study, we combine two online solar interference approaches to determine the pointing accuracy of an X-band mobile weather radar system deployed for 26 months in northern England (54.517°N, 3.615°W). During the deployment, several shifts in the tilt of the radar system are diagnosed between site visits. One extended period of time (>11 months) is shown to have a changing tilt that is independent of human intervention. To verify the corrections derived from this combined approach, quantitative precipitation estimates (QPEs) from the radar system are compared to surface observations: an approach that takes advantage of the variations in the magnitude of partial beam blockage corrections required due to tilting of the radar system close to mountainous terrain. The observed improvements in QPE performance after correction support the use of the derived tilt corrections for further applications using the corrected dataset. Finally, recommendations for future deployments are made, with particular focus on higher latitudes where solar interference spikes show more seasonality than those at mid-latitudes.

Details

Language :
English
ISSN :
20724292
Volume :
15
Issue :
24
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.5c56ef5ff59548b7b071cc4e61b76e57
Document Type :
article
Full Text :
https://doi.org/10.3390/rs15245637