Vertical variability in the raindrop size distribution (RSD) can disrupt the basic assumption of a constant rain profile that is customarily parameterized in radar-based quantitative precipitation estimation (QPE) techniques. This study investigates the utility of melting layer (ML) characteristics to help prescribe the RSD, in particular the mass-weighted mean diameter (Dm), of stratiform rainfall. We utilize ground-based polarimetric radar to map the ML and compare it with Dm observations from the ground upwards to the bottom of the ML. The results show definitive proof that a thickening, and to a lesser extent a lowering, of the ML causes an increase in raindrop diameter below the ML that extends to the surface. The connection between ra...
A physically based method is developed to estimate the microphysical structure of the melting layer ...
Precipitation is a complex phenomenon which is characterized by a significant variability both in ti...
The raindrop size distribution (DSD) is vital for applications such as quantitative precipitation es...
This study investigates the link between rain and ice microphysics across the melting layer in strat...
This study investigates the link between rain and ice microphysics across the melting layer in strat...
Interpretation of polarimetric radar measurements in rainfall such as differential reflectivity and ...
Abstract The seeder–feeder interactions (SFIs), where raindrops from upper clouds grow by accreting ...
The knowledge of the exact shape of falling raindrops is essential for the retrieval of rainfall ra...
The knowledge of the raindrop size distribution is key for characterizing precipitation. It is howev...
(1) Raindrop size distribution (DSD) is a vital microphysical characteristic of clouds and precipita...
The characterization of the melting layer (ML) is an important task for operational radar meteorolog...
Abstract Quantitative precipitation estimates (QPE) can be further improved using estimation algorit...
Raindrop size distributions (DSDs) play a crucial role in quantitative rainfall estimation using wea...
Different relations between rainfall rate R and polarimetric X-band radar measurables were evaluated...
This article describes polarimetric X-band radar-based quantitative precipitation estimations (QPE) ...
A physically based method is developed to estimate the microphysical structure of the melting layer ...
Precipitation is a complex phenomenon which is characterized by a significant variability both in ti...
The raindrop size distribution (DSD) is vital for applications such as quantitative precipitation es...
This study investigates the link between rain and ice microphysics across the melting layer in strat...
This study investigates the link between rain and ice microphysics across the melting layer in strat...
Interpretation of polarimetric radar measurements in rainfall such as differential reflectivity and ...
Abstract The seeder–feeder interactions (SFIs), where raindrops from upper clouds grow by accreting ...
The knowledge of the exact shape of falling raindrops is essential for the retrieval of rainfall ra...
The knowledge of the raindrop size distribution is key for characterizing precipitation. It is howev...
(1) Raindrop size distribution (DSD) is a vital microphysical characteristic of clouds and precipita...
The characterization of the melting layer (ML) is an important task for operational radar meteorolog...
Abstract Quantitative precipitation estimates (QPE) can be further improved using estimation algorit...
Raindrop size distributions (DSDs) play a crucial role in quantitative rainfall estimation using wea...
Different relations between rainfall rate R and polarimetric X-band radar measurables were evaluated...
This article describes polarimetric X-band radar-based quantitative precipitation estimations (QPE) ...
A physically based method is developed to estimate the microphysical structure of the melting layer ...
Precipitation is a complex phenomenon which is characterized by a significant variability both in ti...
The raindrop size distribution (DSD) is vital for applications such as quantitative precipitation es...