At present, new technologies are becoming available to extend the coverage of conventional meteorological datasets. An example is the TMPA-3B42R dataset (research – v6). The usefulness of this satellite rainfall product has been investigated in the hydrological modeling of the Vinces River catchment (Ecuadorian lowlands). The initial TMPA3B42R information exhibited some features of the precipit...

The need for accurate modeling of rainfall-runoff-sediment processes has grown rapidly in the past decades. This study investigates the efficiency of black-box models including Artificial Neural Network (ANN) and Autoregressive Integrated Moving Average with eXogenous input (ARIMAX) models for forecasting the rainfall-runoff-sediment process. According to the complex behavior of the rainfall-ru...

Convectively-induced turbulence (CIT) is one of several threats that requires aircraft to avoid thunderstorms in order to mitigate the risk of passenger injury or aircraft damage. Current Federal Aviation Administration (FAA) thunderstorm avoidance guidelines proscribe flight within 20 nautical miles of a thunderstorm, above thunderstorm tops or beneath anvils. In practice, interpretation of th...

This study set out to investigate the trends of agriculturally-relevant rainfall characteristics among small-scale farmers in the rainfall-sensitive dry savanna agro-ecological zone of northern Ghana. Interviews are used to identify characteristics of rainfall which are deemed by the farmers as important in their food production. Time series daily rainfall data from 1960-2007 is then used to id...

The University of Alabama-Huntsville (UAH) and National Space Science and Technology Center (NSSTC) C-band Doppler weather radar was recently upgraded to dual-polarimetric capabilities. The upgraded radar is called ARMOR (Advanced Radar for Meteorological and Operational Research) and operates within the UAH/NSSTC STORMnet (Severe Thunderstorm Observations and Research Meteorological network). ...

abstract agricultural scientists have developed considerable interest in modeling and generation of rainfall as new ways of analyzing rainfall data and assessing its impact on agriculture. a combination of markov chain and gamma distribution function is recognized as a simple approach and is demonstrated to be effective in generating daily rainfall data for many environments. thus the availabil...