Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System-Climate Data Record Version 2.0 (PERSIANN-CCS-CDR V2.0)

PERSIANN-CCS-CDR Version 2.0, a near-global 37+ year high-resolution precipitation dataset with both high spatial and temporal resolutions. Developed by the Center for Hydrometeorology and Remote Sensing (CHRS) at the University of California, Irvine (UCI). PERSIANN-CCS-CDR V2.0 consists of 2 sub-products PERSIANN-CCS-CDR B1 from 1983 to present and PERSIANN-CCS-CDR CPC from March 2000 to present, both provide precipitation estimates at 0.04° spatial and 3-hourly temporal resolutions over the global domain of 60°S to 60°N.

PERSIANN-CCS-CDR Version 2.0 is regularly updated; therefore, this page serves as the DOI landing page for the dataset. A few sample files are provided here for reference.

To access and download the full dataset, please visit the CHRS Data Portal. (https://chrsdata.eng.uci.edu/)