dataset · Global
PERSIANN-CDR: Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record
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.
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Licence: proprietary
Evidence quality: 12.5
Listed in gee public catalogue API on 2026-10-16; relevance/value screened (haiku).
Metadata checked: 2026-10-14T13:20:00.000Z
What's in it
- Resolution registry
- 27830 m
Evidence
- ee.ImageCollection('NOAA/PERSIANN-CDR')
- https://developers.google.com/earth-engine/datasets/catalog/NOAA_PERSIANN-CDR
Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.