We present an evaluation of daily estimates from three near real-time quasi-global Satellite Precipitation Products—Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), and Climate Prediction Center (CPC) Morphing Technique (CMORPH)—over the African contine...

Remote sensing has long been a useful tool in global applications, since it provides physically-based, worldwide, and consistent spatial information. This paper discusses the potential of using these techniques in the research field of water management, particularly for ‘Water Footprint’ (WF) studies. The WF of a crop is defined as the volume of water consumed for its production, where green an...

Abstract Analyses based on precipitation data may be limited by the quality of data, size available historical series and efficiency adopted methodologies; these factors are especially limiting when conducting analyses at daily scale. Thus, methodologies sought to overcome barriers. The objective this work is develop a hybrid model through maximum overlap discrete wavelet transform (MODWT) esti...

Precipitation in mountain regions is often highly variable and poorly observed, limiting abilities to manage water resource challenges. Here, we evaluate remote sensing and ground station-based gridded precipitation products over Nepal against weather station precipitation observations on a monthly timescale. We find that the Tropical Rainfall Measuring Mission (TRMM) 3B-43 precipitation produc...

Precipitation is a key aspect of the climate system. In this paper, the dependability of five satellite precipitation products (TRMM [Tropical Rainfall Measuring Mission] 3BV42, PERSIANN [Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks] CDR, GSMaP [Global Satellite Mapping of Precipitation] RENALYSIS, CMORPH [Climate Prediction Center’s morphing techni...

In this study, seven precipitation products (rain gauges, NEXRAD MPE, PERSIANN 0.25 degree, PERSIANN CCS-3hr, PERSIANN CCS-1hr, TRMM 3B42V7, and CMORPH) were used to force a physically-based distributed hydrologic model. The model was driven by these products to simulate the hydrologic response of a 1232 km watershed in the Guadalupe River basin, Texas. Storm events in 2007 were used to analyze...

Coverage, resolution, and accuracy in the spatial temporal estimates of remotely sensed precipitation from space satellites, along with number instruments deployed to deliver these observations, are increasing. Of key interest this study is unsurpassed opportunity offered by their broad continuous coverage complement sparse, but more accurate, situ rain gauge measurements for building climate r...

Abstract This study investigates the utility of satellite-based rainfall products and performance bias correction methods in one sub-basins Upper Blue Nile Basin (Main Beles basin). Four satellite are used: Climate Prediction Center (CPC) MORPHing technique (CMORPH), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), Tropical Rainfall Measurin...