The validity of two reanalysis (ERA5 and MEERA2) seven satellite-based (CHIRPS, IMERG, PERSIANN-CCS, PERSIANN-CDR, PERSIANN-PDIR, PERSIANN, TRMM) precipitation products was assessed in relation to the observations situ weather stations installed different topographical climatic regions Pakistan. From 2010 2018, all were evaluated on daily, monthly, seasonal, annual bases at a point-to-pixel sca...

Long-term satellite-based precipitation estimates (LSPE) play a significant role in climatological studies like drought monitoring. In this study, three popular LSPEs (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR), Rainfall Estimates Rain Gauge and Satellite Observations (CHIRPS) Multi-Source Weighted-Ensemble Preci...

This study aimed to statistically and hydrologically assess the performance of the four latest and widely used satellite–gauge combined precipitation estimates (SGPEs), namely CRT (CMORPH CRT), BLD (CMORPH BLD), CDR (PERSIANN CDR), 3B42 (TMPA 3B42 version 7) over the upper yellow river basins (UYRB) in china during 2001–2012 time period. The performances of the SGPEs were compared with the Chin...

Hydrologic models play an indispensable role in managing the scarce water resources of a region, and developing countries, availability distribution data are challenging. This research aimed to integrate compare satellite rainfall products, namely, Tropical Rainfall Measuring Mission (TRMM 3B43v7) Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate...

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...

Understanding rainfall processes as the main driver of hydrological cycle is important for formulating future water management strategies; however, data availability challenging countries such Ethiopia. This study aims to evaluate and compare satellite estimates (SREs) derived from tropical measuring mission (TRMM 3B43v7), estimation remotely sensed information using artificial neural networks—...

The number of global precipitation datasets (PPs) is on the rise and they are commonly used for hydrological applications. A comprehensive evaluation their performance in modeling required to improve performance. This study comprehensively evaluates eight widely PPs by comparing with gauge-observed a large catchments. These include Global Precipitation Climatology Centre (GPCC), Climate Hazards...