Calibration of Reflectivity Observations from the Weather Radar Network of Cyprus Against GPM Dual-Frequency Precipitation Radar
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Journal
IEEE EXPLORE
Date Issued
September 5, 2024
Author(s)
Loulli, Eleni
Bühl, Johannes
Michaelides, Silas
Loukas, Athanasios
HADJIMITSIS, DIOFANTOS
Abstract
This paper analyses polarimetric weather radar data to
explore their potential for comprehensive and reliable
precipitation and thus, drought monitoring in Cyprus.
Reflectivity measurements from the two ground-based X
band dual-polarization radars of the Department of
Meteorology of the Republic of Cyprus are compared with
measurements obtained from the Dual-Frequency
Precipitation Radar (DPR) onboard NASA’s Global
Precipitation Measurement (GPM) mission in order to
calibrate the ground-based reflectivity. The comparison is
done using a volume matching method that allows us to
associate the datasets both in space and time. To correct the
attenuation, we examine a Z-A relationship approach and the
forward gate-by-gate attenuation correction based on an
iterative approach with scalable constraints. Preliminary
results show a significant underestimation of the ground
based reflectivity, as well as a notable impact of attenuation
that leads to a major source of error for rainfall estimation
explore their potential for comprehensive and reliable
precipitation and thus, drought monitoring in Cyprus.
Reflectivity measurements from the two ground-based X
band dual-polarization radars of the Department of
Meteorology of the Republic of Cyprus are compared with
measurements obtained from the Dual-Frequency
Precipitation Radar (DPR) onboard NASA’s Global
Precipitation Measurement (GPM) mission in order to
calibrate the ground-based reflectivity. The comparison is
done using a volume matching method that allows us to
associate the datasets both in space and time. To correct the
attenuation, we examine a Z-A relationship approach and the
forward gate-by-gate attenuation correction based on an
iterative approach with scalable constraints. Preliminary
results show a significant underestimation of the ground
based reflectivity, as well as a notable impact of attenuation
that leads to a major source of error for rainfall estimation
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