NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Version 1 Revision 1. CLIMATE APPLICATIONS: Climate Change and Natural Variability Impact Assessment, Extreme Precipitation Events (esp., Flood and Drought), Long-term Trend Analysis, Water Resources Management and Planning, Policy Making, Updating flood frequency duration curves and statistical hydrological design for storm drainage.

NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Version 1 Revision 1. CLIMATE APPLICATIONS: Climate Change and Natural Variability Impact Assessment, Extreme Precipitation Events (esp., Flood and Drought), Long-term Trend Analysis, Water Resources Management and Planning, Policy Making, Updating flood frequency duration curves and statistical hydrological design for storm drainage.. OFFICIAL CITATION: Soroosh Sorooshian, Kuolin Hsu, Dan Braithwaite, Hamed Ashouri, and NOAA CDR Program (2014): NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Version 1 Revision 1. [indicate subset used]. NOAAs National Centers for Environmental Information. DOI:10.7289/V51V5BWQ [access date]