Abstract: his study evaluates the performance of a newly developed daily precipitation climate data record, called Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks?Climate Data Record ...

Abstract: his study aims to investigate the performance of Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks?Climate Data Record (PERSIANN-CDR) in a rainfall?runoff modeling application over ...

Abstract: AbstractLittle dispute surrounds the observed global temperature changes over the past decades. As a result, there is widespread agreement that a corresponding response in the global hydrologic cycle must exist. However, ...

Abstract: AbstractThe purpose of this study is to use the PERSIANN?Climate Data Record (PERSIANN-CDR) dataset to evaluate the ability of 32 CMIP5 models in capturing the behavior of daily extreme precipitation estimates globally. ...

Abstract: his study evaluates the performance of NASA?s Modern-Era Retrospective Analysis for Research and Applications (MERRA) precipitation product in reproducing the trend and distribution of extreme precipitation events. Utilizing ...

Abstract: new retrospective satellite-based precipitation dataset is constructed as a climate data record for hydrological and climate studies. Precipitation Estimation from Remotely Sensed Information using Artificial Neural ...