A comparison of the TRMM satellite product and IMD rainfall gridded data is expressed by means indices for study drought variation in Tumakuru District Karnataka, India.

Many field campaigns using ground-based radars have been undertaken over the past four decades in the Tropics, and the data collected have been instrumental in improving our physical understanding of the global climate system. Unfortunately, the timescale of the radar observations collected in field campaigns (on the order of a month to several months) is less than the period of many modes of T...

Several methods have been proposed to train microwave radiometers to retrieve precipitation rates estimated by a radar which observed the same location at the same time. These radar-trained passive-microwave algorithms differ in the quantities that are estimated: some estimate the vertically-integrated liquid water, while others estimate the near-surface precipitation. Since it is no more or le...

The scattering of electromagnetic energy by hydrometeors forms the basis of radar meteorology. Knowledge of hydrometeor types can be very important in particular applications. The occurrence of mixed-phase conditions, especially the melting of snow and ice, impacts on the accuracy of radar-based precipitation estimation and the discrimination of rain and hail is often very important in severe w...

The Tropical Rainfall Measuring Mission (TRMM) satellite carries two instruments to measure precipitation: the TRMM Microwave Imager (TMI) and the Precipitation Radar (PR). Examination of instantaneous orbit data from TMI and PR reveals several problems in the TRMM products that are not readily discernible from monthly or areal averaged data sets. TMI rainfall processing algorithms yield signif...

Satellite remote sensing precipitation products with high temporal–spatial resolution and large area coverage have great potential in hydrometeorological research. This paper analyzes the performance of four satellite from 2000 to 2008 Yarlung Zangbo River Basin, namely Tropical Rainfall Measuring Mission (TRMM), Precipitation Estimation Remotely Sensed Information using Artificial Neural Netwo...

In order to secure the quality of precipitation estimates, ground validation (GV) of satellite data and retrieval algorithms is essential. Since end-to-end comparisons between instantaneous precipitation data observed by satellite and groundbased instruments is not enough to improve the algorithms. The error of various physical parameters in the precipitation retrieval algorithms (e.g. attenuat...