https://fedeo.ceos.org/series/eo:organisationName/DOC@NOAA@NESDIS@NCEI/10301
type: Dataset
keyword: DIF10
keyword: Precipitation
keyword: ECV
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description: 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]
title: 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.

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PeriodOfTime
start date: 1977-09-01T00:00:00.000Z
end date: 2015-12-31T23:59:59.999Z

other
type: LicenseDocument