# A Global High-Resolution Precipitation Climate Record: PERSIANN-CCS-CDR Version 2.0

**Authors:** Mohammad Bolboli Zadeh, Phu Nguyen, Kuo-Lin Hsu, Amir AghaKouchak, Tu Thanh Ung, Soroosh Sorooshian

PMC · DOI: 10.1038/s41597-026-06625-5 · Scientific Data · 2026-01-29

## TL;DR

This paper introduces an updated high-resolution global precipitation dataset addressing inconsistencies in earlier versions.

## Contribution

The new version introduces two sub-products with different input data to improve reliability.

## Key findings

- PERSIANN-CCS-CDR V2.0 includes two sub-products with distinct input data sources.
- The new version improves consistency and reliability of precipitation data.
- The paper provides guidance for users to effectively utilize the updated dataset.

## Abstract

PERSIANN-CCS-CDR is a global precipitation dataset with 0.04° spatial and 3 hourly temporal resolution starting from 1983. However, producing reliable information proved to be a challenging task, primarily due to inconsistencies in input data (e.g., inconsistencies between GridSat-B1 and CPC-4km). Recognizing the existence of these inconsistencies and to address the issues, we introduce the new version of PERSIANN-CCS-CDR, called PERSIANN-CCS-CDR V2.0, the new version consists of two sub-products with the same spatial-temporal properties but different input data and record period: 1) PERSIANN-CCS-CDR-B1, which uses the GridSat-B1 as input and is available since 1983, and 2) PERSIANN-CCS-CDR-CPC, which uses the CPC-4KM as input and is available since March 2000. This paper highlights the limitations of the previous version of PERSIANN-CCS-CDR, introduces PERSIANN-CCS-CDR V2.0, evaluates its performance, and provides guidance for future users on how to effectively utilize the new product.

## Full-text entities

- **Genes:** MRSD (mental retardation-skeletal dysplasia) [NCBI Gene 4364] {aka CHRS}
- **Diseases:** FAR (MESH:D017541), tropical cyclones (MESH:D004802), CDD (MESH:D014786), POD (MESH:C536741)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12957374/full.md

## Figures

26 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12957374/full.md

## References

4 references — full list in the complete paper: https://tomesphere.com/paper/PMC12957374/full.md

---
Source: https://tomesphere.com/paper/PMC12957374