To date, one of the most widely used parametric forms for modeling raindrop size distribution (DSD) is the three-parameter gamma. The aim of this paper is to analyze the error of assuming such parametric form to model the natural DSDs. To achieve this goal, a methodology is set up to compare the rain rate obtained from a disdrometer-measured drop size distribution with the rain rate of a gamma drop size distribution that produces the same triplets of dual-polarization radar measurements, namely reflectivity factor, differential reflectivity, and specific differential phase shift. In such a way, any differences between the values of the two rain rates will provide information about how well the gamma distribution fits the measured prec...
Although most parameterizations of the drop size distributions (DSD) use the gamma function, there a...
319-327This paper describes research on a new form of gamma drop size distribution (DSD) model that...
Estimation of raindrop size distribution over large spatial and temporal scales has been a long-stan...
AbstractTo date, one of the most widely used parametric forms for modeling raindrop size distributio...
The adequacy of the gamma model to describe the variability of raindrop size distributions (DSD) is ...
International audienceThe gamma distribution is often used to characterize raindrop size distributio...
International audienceThe gamma distribution is often used to characterize raindrop size distributio...
International audienceThe gamma distribution is often used to characterize raindrop size distributio...
Raindrop size distributions (DSDs) play a crucial role in quantitative rainfall estimation using wea...
The raindrop size distribution (DSD) is vital for applications such as quantitative precipitation es...
The raindrop size distribution (DSD) is fundamental for quantitative precipitation estimation (QPE) ...
A method for estimating three parameters of a gamma raindrop size distribution (DSD) model and the r...
none3siThe NASA's Global Precipitation Measurement (GPM) mission dual-frequency precipitation radar ...
The NASA's Global Precipitation Measurement (GPM) mission dual-frequency precipitation radar retriev...
The NASA's Global Precipitation Measurement (GPM) mission dual-frequency precipitation radar retriev...
Although most parameterizations of the drop size distributions (DSD) use the gamma function, there a...
319-327This paper describes research on a new form of gamma drop size distribution (DSD) model that...
Estimation of raindrop size distribution over large spatial and temporal scales has been a long-stan...
AbstractTo date, one of the most widely used parametric forms for modeling raindrop size distributio...
The adequacy of the gamma model to describe the variability of raindrop size distributions (DSD) is ...
International audienceThe gamma distribution is often used to characterize raindrop size distributio...
International audienceThe gamma distribution is often used to characterize raindrop size distributio...
International audienceThe gamma distribution is often used to characterize raindrop size distributio...
Raindrop size distributions (DSDs) play a crucial role in quantitative rainfall estimation using wea...
The raindrop size distribution (DSD) is vital for applications such as quantitative precipitation es...
The raindrop size distribution (DSD) is fundamental for quantitative precipitation estimation (QPE) ...
A method for estimating three parameters of a gamma raindrop size distribution (DSD) model and the r...
none3siThe NASA's Global Precipitation Measurement (GPM) mission dual-frequency precipitation radar ...
The NASA's Global Precipitation Measurement (GPM) mission dual-frequency precipitation radar retriev...
The NASA's Global Precipitation Measurement (GPM) mission dual-frequency precipitation radar retriev...
Although most parameterizations of the drop size distributions (DSD) use the gamma function, there a...
319-327This paper describes research on a new form of gamma drop size distribution (DSD) model that...
Estimation of raindrop size distribution over large spatial and temporal scales has been a long-stan...