Detection of rain/no-rain condition on the ground is an important for application of radar rainfall algorithms. A radial basis function (RBF) neural network-based scheme for rain/no-rain determination on the ground using vertical profiles of radar data is described in this paper. Evaluation based on WSR-88D radar over central Florida indicates that rain/no-rain condition can be inferred fairly ...

Though warm rain from low-level liquid clouds contributes significantly to the global precipitation and water cycle, it has been missed or underestimated by satellite remote sensing techniques. IR techniques miss all warm rain because they rely on cloud top temperature. Over land, passive microwave techniques miss all warm rain because they rely on ice scattering at high frequency channel. Over...

Measurements of rain attenuation over an earth-space path at Kolkata (22°34' N, 88°29' E), India, have been carried out since June 2004 by receiving a Ku-band signal from the satellite NSS-6 (geostationary at 95 E). The instantaneous attenuations are estimated from the point rain rates measured with an optical raingauge and using the Simple Attenuation Model (SAM). The estimated values closely ...

Internet communities are moving to the Cloud, but in addition to the advantages regarding cost and convenience, this also means that cloud service providers are increasingly in a position to aggregate large amounts of personal data, which means that it is becoming prudent to develop mechanisms that can contribute to limiting the information available to providers. In this paper we present a pro...

A Z-R relation is derived using a data set which consists of nine rain events selected from Singapore’s drop size distribution. Rain events are separated into convective and stratiform types of rain using two methods: the Gamache-Houze method, a simple threshold technique, and the Atlas-Ulbrich method. In the Atlas-Ulbrich method, the variability of the rain integral parameters R, Z, Nw, D0 and...

Prognostic equations for the rain mass mixing ratio and the rain drop number concentration are introduced into the large-scale cloud microphysics parameterization of the ECHAM5 general circulation model (ECHAM5-RAIN). For this a rain flux from one level to the next with the appropriate fall speed is introduced. This maintains rain water in 5 the atmosphere to be available for the next time step...

during the last several years, application of numerical weather prediction models in the country have become common in both research and operations, even though systematic verification of the models’ results using statistical methods has rarely been conducted (sodoudi et al. 2009). this paper aims at comparing the mm5 24-hour precipitation forecasts with the corresponding observations using sta...