The prevailing raindrop shape obtained by polarimetric radar measurements
نویسندگان
چکیده
Polarimetric radar measurements are used to retrieve properties of raindrop distributions. While there has been extensive research conducted on microphysical retrievals such as hydrometeor classification or hail detection, there has not been much research into polarimetric radar based deduction of raindrop shape even though the shape of raindrops plays a critical role in rainfall estimation from polarimetric radars. Equilibrium shape of raindrops as the result of a balance of surface tension, aerodynamic forces, and hydrostatic and internal pressures has been assumed in earlier studies, although it was observed that the average shape departs significantly from that of the equilibrium. There has been considerable discussion about the deviation of the drop axis ratio from its equilibrium value (Goddard et al. 1982; Beard and Chuang 1987; Chandrasekar et al. 1988; Bringi et al. 1998; Andsager et al. 1999; Gorgucci et al. 2000; Keenan et al. 2001; Brandes et al. 2002; Thurai and Bringi 2005). Studies have produced different models emphasizing that a nonlinear relationship should be better than a linear one. Using the self-consistency of the polarimetric radar measurements, Gorgucci et al. (2000) proposed a shape-size model in terms of the linear slope (β) approximating the implied shape-size function as
منابع مشابه
Rainfall Estimation from Polarimetric Radar Measurements: Composite Algorithms Immune to Variability in Raindrop Shape–Size Relation
Polarization diversity radar measurements such as reflectivity factor, differential reflectivity, and differential propagation phase are extensively used in rainfall estimation. Algorithms to estimate rainfall from polarimetric radar measurements are based on a model for the raindrop shape as a function of drop diameter. Most of the current algorithms use an equilibrium shape–size model for rai...
متن کاملDrop Shape and Dsd Retrieval with an X-band Dual Polarization Radar
There is a renewed interest in the use of X-band weather radars, due to specific advantages such as applications to rainfall estimation in light rain, monitoring of sensitive areas that are inadequately covered by operational radar networks as well as the radar network concept introduced by the Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) (Chandrasekar et al. 2004). The us...
متن کاملP2b.1 Constrained Gamma Drop Size Model for Polarimetric Radar Rain Estimation: Justification and Development
Accurate rain estimation from radar measurements has been a difficult task due to the variation of raindrop size distribution (DSD), lack of accurate axis ratio model, measurement error, clutter, and so forth. Previously, rain estimation from weather radars has been largely dependent upon empirical relations such as R-Z relations. The development of polarimetric radar makes accurate rain DSD re...
متن کاملA method for estimating rain rate and drop size distribution from polarimetric radar measurements
Polarimetric radar measurements are sensitive to the size, shape and orientation of raindrops and provide information about drop size distribution (DSD), canting angle distribution and rain rate. In this paper, we propose and demonstrate a method for retrieving DSD parameters for calculating rain rate and the characteristic particle size. The DSD is assumed to be a Gamma distribution and the go...
متن کاملRaindrop size distribution estimation from S-band polarimetric radar using a regularized neural network
Radar rainrate estimates are prone to a high degree of uncertainty due to several error sources, among which the space-time variability of the raindrop size distribution (RSD). Polarimetric radar measurements enable the use of combined algorithms which reduce the sensitivity to the variability of the RSD. The aim of this work is to develop a new procedure to retrieve the RSD parameters which ca...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006