El Niño and La Niña events, the extremes of ENSO climate variability, influence river flow and flooding at the global scale. Estimates of the historical probability of extreme (high or low) precipitation are used to provide vital information on the likelihood of adverse impacts during extreme ENSO events. However, the nonlinearity between precipitation and flood magnitude motivates the need for...

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...

The high spatial and temporal variability of precipitation poses a substantial challenge to its global monitoring, particularly over the global oceans. The insufficient coverage of surface-based measurements adds to this problem. These data-sparse areas profit from passive microwave (PMW) satellite sensors, which essentially contribute to the estimation of global long-term precipitation estimat...

Runoff estimation resulted from precipitation is the basis of more study in various develop and exploit design from water resource, then its measure and calculation due to environmental bottlenecks, always have a plenty problem. As a result of the importance of output runoff estimation and flood volume in watershed for the sake of country integrated watershed management in this study tried to 9...

Drought and flood management practices require accurate estimates of precipitation. Gauge observations, however, are often sparse in regions with complicated terrain, clustered in valleys, and of poor quality. Consequently, the spatial extent of wet events is poorly represented. Satellite-derived precipitation data are an attractive alternative, though they tend to underestimate the magnitude o...

An object-based approach for verification of precipitation estimation J. Li, K. Hsu, A. AghaKouchak & S. Sorooshian a Department of Geosciences and Environment, California State University Los Angeles, Los Angeles, CA, USA b Center for Hydrometeorology and Remote Sensing, Department of Civil & Environmental Engineering, University of California Irvine, Irvine, CA, USA Published online: 19 Jan 2...

Accurate estimates of precipitation type and amount are important for water management at the Salt River Project (SRP) located in Arizona. The primary focus of water operations at the SRP is management of reservoirs on the Salt and Verde Rivers. Knowledge of precipitation accumulating in watersheds (WSs) has historically been provided by a network of rain gauges located throughout and adjacent ...

This thesis describes the use of opaque microwave bands for global estimation of precipitation rate. An algorithm was developed for estimating instantaneous precipitation rate for the Advanced Microwave Sounding Unit (AMSU) on the NOAA-15, NOAA-16, and NOAA-17 satellites, and the Advanced Microwave Sounding Unit and Humidity Sounder for Brazil (AMSU/HSB) aboard the NASA Aqua satellite. The algo...

By employing wavelet and selected features (WSF), median merging (MM), and selected curve-fitting (SCF) techniques, the Precipitation Estimation from Remotely Sensed Imagery using an Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) has been improved. The PERSIANN-CCS methodology includes the following four main steps: 1) segmentation of satellite cloud images into cloud pat...

Data from simultaneous observations (on 13 February 1996, 9 November 1998, and 12 February 1999) with the IRIS, DASI and EISCAT systems are employed in the study of the energy distribution of the electron precipitation during substorm activity. The estimation of the characteristic energy of the electron precipitation over the common field of view of IRIS and DASI is discussed. In particular, we...