Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/36241| Title: | Calibration of Two X-Band Ground Radars Against GPM DPR Ku-Band | Authors: | Loulli, Eleni Michaelides, Silas Bühl, Johannes Athanasios, Loukas Hadjimitsis, Diofantos G. |
Major Field of Science: | Engineering and Technology | Field Category: | Other Engineering and Technologies | Keywords: | X-band polarimetric weather radar;Cyprus radar network;calibration;GPM DPR Ku-band;meteorological radar;reflectivity;volume matching | Issue Date: | 14-May-2025 | Source: | Remote Sensing, 2025, vol. 17, Issue 10 pp.1-24 | Volume: | 17 | Issue: | 10 | Start page: | 1 | End page: | 24 | Project: | EXCELSIOR: ERATOSTHENES Centre of Excellence for Earth Surveillance and Space-Based Monitoring of the Environment | Journal: | Remote Sensing | Abstract: | Weather radars are essential in the Quantitative Precipitation Estimates (QPE) but are susceptible to calibration errors. Previous work demonstrated that observations from the Ku-band Dual Polarization Radar (DPR) radar on board the Global Precipitation Measurement Mission Dual-Precipitation Radar (GPM) are suitable for ground radar calibration. Several studies volume-matched ground radar and GPM DPR Ku-band reflectivities for the absolute calibration of ground radars, by applying different constraints and filters in the volume-matching procedure. This study compares and evaluates volume-matching thresholds and data filtering schemes for the Rizoelia, Larnaca (LCA) and Nata, Pafos (PFO) radars of the Cyprus weather radar network from October 2017 till May 2023. Excluding reflectivities below and within the melting layer with a 250 m buffer yielded consistent results for both ground radars. The selected calibration schemes were combined, and the resulting offsets were compared to stable radar parameters to identify stable calibration periods. The consistency of the wet hydrological year October 2019 to September 2020 suggests that radar calibration results are prone to differences in meteorological conditions, as scarce rainfall can result in insufficient data for reliable calibration. Future work will incorporate disdrometer measurements and extend the analysis to quantitative precipitation estimation. | URI: | https://hdl.handle.net/20.500.14279/36241 | DOI: | 10.3390/rs17101712 | Rights: | Attribution-NonCommercial-NoDerivatives 4.0 International | Type: | Article | Affiliation : | Cyprus University of Technology ERATOSTHENES Centre of Excellence Leibniz Institute for Tropospheric Research (TROPOS) Harz University of Applied Sciences Aristotle University of Thessaloniki |
Funding: | The authors acknowledge the `EXCELSIOR’: ERATOSTHENES: EXcellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment H2020 Widespread Teaming project (www.excelsior2020.eu, accessed on 10 March 2025). The ‘EXCELSIOR’ project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 857510, from the Government of the Republic of Cyprus through the Directorate General for the European Programmes, Coordination and Development and the Cyprus University of Technology. The authors acknowledge also the Department of Meteorology of the Republic of Cyprus for the provision of the X-band radar data. The authors wish to thank the five anonymous reviewers for their constructive comments that led to important improvements in the manuscript. | Publication Type: | Peer Reviewed |
| Appears in Collections: | EXCELSIOR H2020 Teaming Project Publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| remotesensing-17-01712-v2.pdf | 44.21 MB | Adobe PDF | View/Open |
CORE Recommender
Page view(s)
67
Last Week
5
5
Last month
30
30
checked on Apr 13, 2026
Download(s) 50
20
checked on Apr 13, 2026
Google ScholarTM
Check
Altmetric
This item is licensed under a Creative Commons License
