Although cumulonimbus (Cb) clouds are the main source of precipitation in south China, the relationship between Cb cloud characteristics and precipitation remains unclear. Accordingly, the primary objective of this study was to thoroughly analyze the relationship between Cb cloud features and precipitation both at the pixel and cloud patch scale, and then to apply it in precipitation estimation...

Artificial Neural Network (ANN) technique has been used for the estimation of precipitation, mainly from passive and active microwave measurements from space. ANN has been used to estimate precipitation using TRMM Microwave Imager (TMI) onboard Tropical Rainfall Measuring Mission (TRMM) satellite. A precipitation algorithm designed to generate rainfall estimates using a combination of TMI and T...

Characterizing the errors in satellite-based precipitation estimation products is crucial for understanding their effects in hydrological applications. Six precipitation products derived from three algorithms are comprehensively evaluated against gauge data over mainland China from December 2006 to November 2010. These products include three satellite-only estimates: the Global Satellite Mappin...

By far, different models for determining the relationship between the flow rate  and amount of precipitation have been developed. many models are based on regression models with limited assumptions. one of the most common methods for estimating  sediment of rivers is sediment rating curve. for better estimation of the amount of sediment based of sediment curve  rating equation, it is possible t...

Satellite-based precipitation products have been shown to represent precipitation well over Nepal at monthly resolution, compared to ground-based stations. Here, we extend our analysis to the daily and subdaily timescales, which are relevant for mapping the hazards caused by storms as well as drought. We compared the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analy...

We demonstrate the utility of locally weighted polynomial regression, a nonparametric technique for surface estimation discussed in Lall et al. (1995), for the spatial estimation of precipitation surface, with data related to the Chernobyl nuclear power plant accident. The method uses multivariate, locally weighted polynomial regression with temperature or precipitation as the dependent variabl...

GRANT W. PETTY Earth and Atmospheric Sciences Department, 1397 CTVL Bldg, Purdue University, West Lafayette, Indiana 47907-1397, USA W1TOLD F. KRAJEWSKI Department of Civil and Environmental Engineering, The University of Iowa, Iowa City, Iowa 52242-1585, USA Abstract The availability of satellite-derived rainfall products to hydrologists and other natural scientists has increased enormously in...

Accurate estimation of precipitation and its spatial variability is crucial for reliable discharge simulations. Although radar and satellite based techniques are becoming increasingly widespread, quantitative precipitation estimates based on point rain gauge measurement interpolation are, and will continue to be in the foreseeable future, widely used. However, the ability to infer spatially dis...

The South African Weather Service is mandated to issue warnings of hazardous weather events, including those related to heavy precipitation, in order to safeguard life and property. Flooding and flash flood events are common in South Africa. Frequent updates and real-time availability of precipitation data are crucial to support hydrometeorological warning services. Satellite rainfall estimatio...

Previous estimates of land-atmosphere interaction (the impact of soil moisture on precipitation) have been limited by a lack of observational data and by the model dependence of computational estimates. To counter the second limitation, a dozen climate-modeling groups have recently performed the same highly controlled numerical experiment as part of a coordinated comparison project. This allows...