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Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
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Updated: Jan 31, 2026

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

Mohammad Bolboli Zadeh1, Phu Nguyen2, Kuo-Lin Hsu2

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|January 29, 2026
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Summary

The PERSIANN-CCS-CDR V2.0 global precipitation dataset offers improved reliability by addressing input data inconsistencies. This new version provides two sub-products, PERSIANN-CCS-CDR-B1 and PERSIANN-CCS-CDR-CPC, for enhanced climate data analysis.

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Area of Science:

  • Earth Science
  • Climate Science
  • Hydrology

Background:

  • PERSIANN-CCS-CDR is a global precipitation dataset with 0.04° spatial and 3-hourly temporal resolution, initiated in 1983.
  • Previous versions faced challenges with data reliability due to inconsistencies in input sources like GridSat-B1 and CPC-4km.

Purpose of the Study:

  • Introduce PERSIANN-CCS-CDR V2.0, an improved global precipitation dataset.
  • Address and mitigate data inconsistencies inherent in earlier versions.
  • Provide guidance for effective utilization of the new dataset.

Main Methods:

  • Developed PERSIANN-CCS-CDR V2.0 with two distinct sub-products: PERSIANN-CCS-CDR-B1 (using GridSat-B1) and PERSIANN-CCS-CDR-CPC (using CPC-4KM).
  • Maintained the original 0.04° spatial and 3-hourly temporal resolution for both sub-products.
  • Evaluated the performance and reliability of the new dataset version.

Main Results:

  • PERSIANN-CCS-CDR V2.0 offers enhanced data reliability by resolving input inconsistencies.
  • PERSIANN-CCS-CDR-B1 provides data from 1983, while PERSIANN-CCS-CDR-CPC offers data from March 2000.
  • The new version demonstrates improved performance compared to its predecessor.

Conclusions:

  • PERSIANN-CCS-CDR V2.0 represents a significant advancement in global precipitation data.
  • The dual sub-product approach caters to different data availability needs and research objectives.
  • This updated dataset is a valuable resource for climate research, hydrology, and meteorological studies.