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...

a methodology to enhance a satellite infrared – based high resolution rainfall retrieval algorithm is developed by intelligently selecting features based on a filter model. Our methodology for satellite-based rainfall estimation is similar to the PERSIANN-CCS approach. However, our algorithms are enriched by applying a filterbased feature selection using generic algorithm. The objective of usin...

Cryospheric and ecological studies become very complicated due to the absence of observed data, particularly in mountainous regions Central Asia. Performance analysis Satellite-Based Precipitation Datasets (SBPD) is critical before their direct hydro-climatic applications. This study assessed ground validation four SBPDs (IMERG, TRMM, PERSIANN-CDR, PERSIANN-CSS). From January 2000 December 2013...

Global precipitation data sets with high spatial and temporal resolution are needed for many applications, but they were unavailable before the recent creation of several such satellite products. Here, we evaluate four different satellite data sets of hourly or 3-hourly precipitation (namely CMORPH, PERSIANN, TRMM 3B42 and a microwave-only product referred to as MI) by comparing the spatial pat...

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...

The performance of Satellite Rainfall Estimate (SRE) products applied to flood inundation modelling was tested for the Mundeni Aru River Basin in eastern Sri Lanka. Three SREs (PERSIANN, TRMM, and GSMaP) were tested, with the Rainfall-Runoff-Inundation (RRI) model used as the flood inundation model. All the SREs were found to be suitable for applying to the RRI model. The simulations created by...

In order to measure precipitation as the main variable for estimating the runoff and designing hydraulic structures, the satellite algorithm products that have the proper spatial and temporal coverage, can be used. In this study, at first, the daily streamflow simulation of Sarough-Cahy River from the Zarinehroud basin was conducted through the artificial neural network (ANN) and ground data of...