Heavy precipitation events are recurrently occurring in Nepal, affecting lives and properties every year, especially the summer monsoon season (i.e., June-September). We investigated an extreme (heavy) event of August 2014 over West Rapti River (WRR) Basin, Nepal. First, we forced a rainfall-runoff model with ground-based (gauge) hourly rainfall data nine stations. Second, validated against wat...

The skill of the diverse-based precipitation products is investigated in comparison with observed-derived HYBAM and GoAmazon TRMM-LBA field campaigns data. performance eight remote sensing-based datasets (CHIRPS, MSWEP, TRMM, CMORPH, IMERG, PERSIANN-CDR, PERSIANN-CCS-CDR, PERSIANN-CCS) evaluated from 1998 to 2009 considering different timescales (diurnal, intraseasonal, seasonal) for Amazon Bas...

In this paper, we will investigate the influence of microphysics schemes on rainfall pattern extreme storm that impacted Egypt 12 March 2020. The aim is to improve forecasting using numerical Weather Research and Forecasting (WRF) model for an effective Early Warning System (EWS). performance six were evaluated Model Object-based Evaluation analysis tool (MODE) forced by three selected satellit...

Satellite remote sensing precipitation products with high temporal–spatial resolution and large area coverage have great potential in hydrometeorological research. This paper analyzes the performance of four satellite from 2000 to 2008 Yarlung Zangbo River Basin, namely Tropical Rainfall Measuring Mission (TRMM), Precipitation Estimation Remotely Sensed Information using Artificial Neural Netwo...

Satellite precipitation products are a means of estimating rainfall, particularly in areas that are sparsely equipped with rain gauges. The Guiana Shield is a region vulnerable to high water episodes. Flood risk is enhanced by the concentration of population living along the main rivers. A good understanding of the regional hydro-climatic regime, as well as an accurate estimation of precipitati...

Remotely sensed precipitation estimates (RSPEs) play an essential role in monitoring drought, especially ungauged or sparsely gauged areas. In this study, we evaluated the ability of three popular long-term RSPEs (PERSIANN, CHIRPS, and MSWEP) capturing meteorological drought variations over 10 first-level water resource basins China, based on standardized index (SPI). Drought events were identi...