The spatial and temporal distribution of precipitation is great importance for the rain-fed agricultural production socioeconomics Mato Grosso (MT), Brazil. MT has a sparse network ground rain gauges that limits effective use information sustainable water resources in region. Several gridded products from remote sensing reanalysis land surface models are currently available can enhance such inf...

Individually, ground-based, in situ observations, remote sensing, and regional climate modeling cannot provide the high-quality precipitation data required for hydrological prediction, especially over complex terrains. Data assimilation techniques can be used to bridge the gap between observations and models by assimilating ground observations and remote sensing products into models to improve ...

Floods have caused tremendous economic, societal and ecological losses in the Yangtze River Basin (YRB) of China. To reduce the impact of these disasters, it is important to understand the variables affecting the hydrological state of the basin. In this study, we used Gravity Recovery and Climate Experiment (GRACE) satellite data, flood potential index (FPI), precipitation data (Tropical Rainfa...

New online prototypes have been developed to extend and enhance the previous effort by facilitating investigation of product characteristics and intercomparison of precipitation products in different algorithms as well as in different versions at different spatial scales ranging from local to global without downloading data and software. Several popular Tropical Rainfall Measuring Mission (TRMM...

In this paper, we present an algorithm for the automated removal of nonprecipitation related echoes such as atmospheric anomalous propagation (AP) in the lower elevations of meteorological-radar volume scans. The motivation for the development of this technique is the need for an objective quality control algorithm that minimizes human interaction. The algorithm uses both textural and intensity...

Monsoonal rainfall in the Himalaya dominates erosion and sediment transport through the fluvial system. In addition to the strong seasonal nature of the Indian summer monsoon, striking interannual variations in monsoonal strength characterize longer records. For example, during any given year, rain may penetrate further into the orogen, even though peak rainfall amounts almost always occur at t...

The Soil and Water Assessment Tool (SWAT) model was used to provide continuous (1998-2006) simulation of overland flow, channel flow, transmission losses for the for the Raudatain watershed in northern Kuwait, and the Umm Al Aish watershed in central Kuwait covering approximately 50% of the Kuwaiti landscape. Inputs required for the SWAT model were extracted from readily available global remote...

The evaluation of dynamical ensemble forecast systems requires a solid validation of basic processes such as the global atmospheric water and energy cycle. The value of any validation approach strongly depends on the quality of the observational data records used. Current approaches utilize in situ measurements, remote sensing data and reanalyses. Related data records are subject to a number of...

During the last decade, satellite observations have allowed significant advances in quantifying precipitation, especially with the contribution of the TRMM mission. Observations at different wavelengths (visible, infrared, and microwaves), in both active and passivemicrowavemodes, are analyzed, and eventually coupled to produce records of precipitation estimates over the globe, with up to hourl...

Satellite-based precipitation (SP) data are gaining scientific interest due to their advantage in producing high-resolution products with quasi-global coverage. However, since the major reliance of is on distinctive geographical features each location, they remain at a considerable distance from station-based data. This paper examines effectiveness convolutional autoencoder (CAE) architecture p...