Since raingauges give pointwise measurements the small scale variability of rainfall fields leads to biases on the estimation for the rainfall over the whole basin. In this context meteorological radars have several advantages since a single site is able to obtain coverage over a wide area with high temporal and spatial resolution. The purpose of this study is to compare the capability of the t...

Satellite-based precipitation estimates products, CMORPH and PERSIANN-CCS, were evaluated with a dense rain gauge network over Beijing and adjacent regions for an extremely heavy precipitation event on July 21 2012. CMORPH and PEERSIANN-CSS misplaced the region of greatest rainfall accumulation, and failed to capture the spatial pattern of precipitation, evidenced by a low spatial correlation c...

Ecosystem responses to increased variability in rainfall, a prediction of general circulation models, were assessed in native grassland by reducing storm frequency and increasing rainfall quantity per storm during a 4-year experiment. More extreme rainfall patterns, without concurrent changes in total rainfall quantity, increased temporal variability in soil moisture and plant species diversity...

In the present world, predicting rainfall is considered to be an essential and also a challenging task. Normally, the climate and rainfall are presumed to have non-linear as well as intricate phenomena. For predicting accurate rainfall, we necessitate advanced computer modeling and simulation. When there is an enhanced understanding of the spatial and temporal distribution of precipitation then...

Currently, rainfall retrieval over ocean from passive microwave satellite observations represents the best compromise between estimation accuracy and spatial data coverage. Infrared data is available with higher temporal frequency from geostationary satellites but the link of top-of-the-atmosphere infrared emission to near-surface rainfall is very indirect. Therefore, all algorithms have to exp...

This study contributes to a better understanding of the spatial and temporal patterns of ecosystem dynamics in Southern Africa in response to climatic variability. First, we identified the areas where NDVI is covarying with precipitation, and where rainfall anomalies are correlated with NDVI anomalies. The results suggest that these correlations are related to quasi-periodicities in rainfall pa...

The aim of this article is to explore ways of increasing agricultural productivity in Zimbabwe in the face of the increasingly uncertain climatic conditions. Agriculture has remained crucial to economic growth in Zimbabwe while it is mainly rain-fed. The total seasonal rainfall amounts are not indicating any significant trend (increasing or decreasing) with time. Changes are only noticed in the...