PERSIANN-CDR: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record (NOAA/PERSIANN-CDR)

Version Version 1 Revision 1

PERSIANN-CDR is a daily quasi-global precipitation product that spans the period from 1983-01-01 to present. The data is produced quarterly, with a typical lag of three months. The product is developed by the Center for Hydrometeorology and Remote Sensing at the University of California, Irvine (UC-IRVINE/CHRS) using Gridded Satellite (GridSat-B1) IR data that are derived from merging ISCCP B1 IR data, along with GPCP version 2.2.

NameDescriptionGee Unit
precipitationEstimated daily precipitationmm


NOAA NCDC (producer, licensor)
Google Earth Engine (host)
STAC Version 0.6.0
Keywords cdr, climate, geophysical, ncdc, noaa, persiann, precipitation, weather
License proprietary
Temporal Extent 12/31/1982, 4:00:00 PM - now
Citation Cite this dataset when used as a source: Sorooshian, Soroosh; Hsu, Kuolin; Braithwaite, Dan; Ashouri, Hamed; 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]. NOAA National Centers for Environmental Information. doi: []( [access date].
Type image_collection
GSD arc degreesm
Cadence day