Complex terrain, the sparse distribution of rain gauges, and poor resolution quality satellite data in remote areas severely restrict development watershed hydrological modeling, meteorology, ecological research. In this study, based on relationship between cloud optical physical properties precipitation, a daily geographically weighted regression (GWR) precipitation downscaling model was const...

Remote sensing precipitation products provide rich data for ungauged basins. Evaluating the accuracy and detection capability of remote is crucial before application. In this study, an index system in terms quantitative differences, capturing capacity distribution was constructed to evaluate three products, TRMM 3B42 V7, GPM IMERGE Final CMORPH V1.0, at various temporal spatial scales on Tibeta...

The quality of satellite-based precipitation products including TMPA 3B42, IMERG-early, IMERG-final, and CMORPH-CRT, is evaluated by comparing with gauge observations in Hunan province China between 2017 2019. By using the outputs Dominant River Routing Integrated VIC Environment (DRIVE) model, hydrological applications gauge- are analyzed them streamflow observations. Furthermore, we conduct a...

Abstract. Tibetan Plateau (TP) is well known as Asia's water tower from where many large rivers originate. However, due to complex spatial variability in climate and topography, there still a lack of high-quality rainfall dataset for hydrological modeling flood prediction. This study therefore aims establish high-accuracy daily product through merging estimates three satellites, i.e., GPM-IMERG...

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...

Abstract This study evaluated the performance and hydrologic utility of four different satellite precipitation datasets (SPDs), including GPM (IMERG_F), PERSIANN_CDR, CHIRPS, CMORPH, to predict daily streamflow SL using SWAT hydrological model as well coupled soft computing models (SCMs) such artificial neural networks (SWAT-ANNs), random forests (SWAT-RFs), support vector regression (SWAT-SVR)...

The ecological conservation and high-quality development of the Yellow River basin (YRB) has been adopted as a major national strategy China. However, YRB is still afflicted by floods. Here, we proposed flood risk indicator using direct economic loss degree improved SNRD (station-based nonlinear regression downscaling model) simulated extreme precipitation processes. correlation coefficient dow...

Abstract Because of the sparseness ground monitoring network, precipitation estimations based on satellite products (PESPs) are currently requisite tools for hydrological simulation research and applications. The evaluation six global high-resolution PESPs (TRMM 3B42V7, GPGP-1DD, TRMM 3B42RT, CMORPH-V1.0, PERSIANN, PERSIANN-CDR) is ultimate purpose this research. Additionally, distributed Hydro...