This study assessed the performance of two well-known gridded meteorological datasets, CFSR (Climate Forecast System Reanalysis) and CMADS (China Meteorological Assimilation Driving Datasets), three satellite-based precipitation TRMM (Tropical Rainfall Measuring Mission), CMORPH Prediction Center morphing technique), CHIRPS Hazards Group InfraRed Precipitation with Station data), in driving SWA...

Abstract This study investigates the use of Tropical Rainfall Measurement Mission's (TRMM) rainfall data for predicting water flows and flood events in three catchments on island Java, Indonesia, namely, Ciliwung, Citarum Bengawan Solo. The Shetran model was used rainfall-runoff simulations, with input obtained from measured rain gauges (hourly daily) TRMM (3-hourly daily). daily Nash Sutcliffe...

Abstract Application potential and development prospect of satellite precipitation products such as Tropical Rainfall Measuring Mission (TRMM) Global Precipitation (GPM) have promising implications. This study discusses causes spatiotemporal differences on GPM data through the following steps: Initially, calculate bias between satellite-based rain gauge Xiangjiang river catchment to assess accu...

This work analyzes several remote sensing instrument capabilities in monitoring dust storms. Multisensor data analysis is carried out to study the behavior of dust particles at different wavelengths. A technique based on a combination of optical and microwave sensing of dust storms, using the Moderate Resolution Imaging Spectrometer (MODIS) and the Tropical Rainfall Measuring Mission (TRMM) Mic...

a similar approach to the National Aeronautics and Space Administration (NASA) Tropical Raifall Measuring Mission (TRMM) Ground Validation (GV) program for the Automated Quality Check (AQC) of 7-minute radar-gauge data pairs.. In particular, the AQC procedure is used in the form presented during the VOLTAIRE project (Gabella and Notarpietro, 2004) and as it is implemented in the VOLTAIRE data q...

The Punjab region of Pakistan faced significant losses from flash flooding in 2010 and experienced a multiyear drought during 1998–2002. current study illustrates the flood conditions using multi-satellite data products derived Moderate Resolution Imaging Spectroradiometer (MODIS) Tropical Rainfall Measuring Mission (TRMM) as well TRMM Multi-satellite Precipitation Analysis (TMPA) satellites wi...

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 ...