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RISAssessing the Efficacy of High-Resolution Satellite-Based PERSIANN-CDR Precipitation Product in Simulating Streamflow
Publisher: American Meteorological Society
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 ...
Evaluation of PERSIANN System Satellite–Based Estimates of Tropical Rainfall
Publisher: American Meteorological Society
Abstract: PERSIANN, an automated system for Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks, has been developed for the estimation of rainfall from geosynchronous satellite longwave infared ...
Global Precipitation Trends across Spatial Scales Using Satellite Observations
Publisher: American Meteorological Society
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, ...
PERSIANN-CDR: Daily Precipitation Climate Data Record from Multisatellite Observations for Hydrological and Climate Studies
Publisher: American Meteorological Society
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 ...
Exploring Trends through “RainSphere”: Research data transformed into public knowledge
Publisher: American Meteorological Society