In this research, the performance of satellite rainfall estimates (SREs) for crop growth simulation was investigated. Rainfall products selected were CHIRPS 2.0, CMORPH 1.0, MSWEP 2.2, and RFE 2.0. In-situ from 20 stations within Lake Victoria basin in Kenya served as reference. evaluated onset days, depths, dry spells, occurrence four stages. Assessment on a daily time step period 2012–2018 po...

The validation of precipitation estimates is necessary for the selection most appropriate dataset, as well having confidence in its selection. Traditional against gauges or radars much less effective when quality these references (which are considered ‘truth’) degrades, such areas poor coverage. In scenarios like this where ‘truth’ unreliable unknown, triple collocation analysis (TCA) facilitat...

With the continuous emergence of remote sensing technologies and atmospheric models, multi-source precipitation products (MSPs) are increasingly applied in hydrometeorological research, especially ungauged or data-scarce regions. This study comprehensively evaluates reliability MSPs quantifies uncertainty sources streamflow simulation. Firstly, performance seven state-of-the-art is assessed usi...

Hourly Satellite Precipitation Estimates (SPEs) may be the only available source of information for operational hydrologic and flash flood prediction due to spatial limitations of radar and gauge products. SPEs are prone to larger systematic errors and more uncertainty sources in comparison with ground based radar and gauge precipitation products. The present work develops an approach to seamle...

A storm tracking and nowcasting model was developed for the contiguous US (CONUS) by combining observations from advanced baseline imager (ABI) numerical weather prediction (NWP) short-range forecast data, along with precipitation rate CMORPH (the Climate Prediction Center morphing technique). random forest based adopted using maximum as benchmark convection intensity, location time of storms o...

Multi-sensor precipitation datasets including two products from the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) and estimates from Climate Prediction Center Morphing Technique (CMORPH) product were quantitatively evaluated to study the monsoon variability over Pakistan. Several statistical and graphical techniques are applied to illustrate the noncon...

The first Chinese operational Ku-band scatterometer on board Haiyang-2A (HY-2A), launched in August 2011, is designed for monitoring the global ocean surface wind. This study estimates the quality of the near-real-time (NRT) retrieval wind speed and wind direction from the HY-2A scatterometer for 36 months from 2012 to 2014. We employed three types of sea-surface wind data from oceanic moored b...

This study examines the spatial and temporal variability in the diurnal cycle of clouds and precipitation tied to topography within the North American Monsoon Experiment (NAME) tier-I domain during the 2004 NAME enhanced observing period (EOP, July–August), with a focus on the implications for highresolution precipitation estimation within the core of the monsoon. Ground-based precipitation ret...