Current water demands are adequately satisfied in the United Arab Emirates (UAE) with available resources. However, changing climate and growing demand pose a great challenge for resources managers country. Hence, there is need management strategies policies to use most accurate information regarding availability. Understanding frequency short- long-term trends of precipitation by employing hig...

Abstract Evaluating the accuracy of precipitation products is essential for many applications. The traditional method evaluation to calculate error metrics with gauge measurements that are considered as ground-truth. multiplicative triple collocation (MTC) has been demonstrated powerful in quantification when ground-truth not known. This study applied MTC evaluate five Germany: two raw satellit...

Abstract. In this study, the detection and characteristics of dry/wet spells (defined as episodes when precipitation is abnormally low or high compared to usual climatology) drawn from several datasets are for Senegal. Here, four based on satellite data (TRMM-3B42 V7, CMORPH V1.0, TAMSAT V3, CHIRPS V2. 0), two reanalysis products (NCEP-CFSR ERA5), three rain gauge observations (CPC Unified V1.0...

The combination of Hydrological Models and high-resolution Satellite Precipitation Products (SPPs) or regional Climatological (RCMs), has provided the means to establish baselines for quantification, propagation, reduction in hydrological uncertainty when generating streamflow forecasts. This study aimed improve operational real-time forecasts Upper Zambezi River Basin (UZRB), Africa, utilizing...

• Highlights the sampling effects of GPM orbital through hydrologic modeling. A multidimensional error model is used to generate synthetic data. The VIC scrutinize impact data sampling. An insight into optimum integration time number satellites in a constellation. Global precipitation estimation depends on constellations mainly passive microwave sensors along with satellite radars and geosynchr...

Rainfall data series with adequate quality and length are often incomplete or nonexistent. Thus, filling in rainfall gaps becomes necessary to complete databases. This article proposes the use of satellite products (TRMM—Tropical Measuring Mission, CHIRPS—Climate Hazards Group InfraRed Precipitation Stations CMORPH—CPC Morphing Technique) fill historical series. The simple regression method, us...

Satellite precipitation products (SPPs) have emerged as an important information source of with high spatio-temporal resolutions, great potential to improve catchment water resource management and hydrologic modelling, especially in data-sparse regions. As indirect measurement, satellite-derived accuracy is major concern. There been numerous evaluation/validation studies worldwide. However, a c...

Evaluating the quality of satellite precipitation products (SPPs) is crucially important for SPPs' applications and improvements. This study aims to comprehensively evaluate accuracy six widely used SPPs (GSMaP, IMERG, TMPA, CMORPH, PERSIANN, CHIRPS) from 2000 2017 over mainland China using 2372 rain gauges. The performance at different spatio-temporal scales altitudes are explored. probability...

Global precipitation data sets with high spatial and temporal resolution are needed for many applications, but they were unavailable before the recent creation of several such satellite products. Here, we evaluate four different satellite data sets of hourly or 3-hourly precipitation (namely CMORPH, PERSIANN, TRMM 3B42 and a microwave-only product referred to as MI) by comparing the spatial pat...

The real-time availability of several satellite-based precipitation products has recently provided hydrologists with an unprecedented opportunity to improve current hydrologic prediction capability for vast river basins, particularly for ungauged regions. However, the accuracy of real-time satellite precipitation data remains uncertain. This study aims to use three widely used real-time satelli...