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Sci Data. 2019 Jan 8;6:180296. doi: 10.1038/sdata.2018.296.

The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data.

Author information

Center for Hydrometeorology & Remote Sensing (CHRS), HSSoE, University of California, Irvine, CA, USA.
Department of Water Management, Nong Lam University, Ho Chi Minh City, Vietnam.
NOAA Center for Satellite Applications and Research (STAR), Maryland, USA.
International Center for Integrated Water Resources Management (ICIWaRM), Institute for Water Resources, US Army Corps of Engineers, Washington, D.C., Virginia, USA.


The Center for Hydrometeorology and Remote Sensing (CHRS) has created the CHRS Data Portal to facilitate easy access to the three open data licensed satellite-based precipitation datasets generated by our Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) system: PERSIANN, PERSIANN-Cloud Classification System (CCS), and PERSIANN-Climate Data Record (CDR). These datasets have the potential for widespread use by various researchers, professionals including engineers, city planners, and so forth, as well as the community at large. Researchers at CHRS created the CHRS Data Portal with an emphasis on simplicity and the intention of fostering synergistic relationships with scientists and experts from around the world. The following paper presents an outline of the hosted datasets and features available on the CHRS Data Portal, an examination of the necessity of easily accessible public data, a comprehensive overview of the PERSIANN algorithms and datasets, and a walk-through of the procedure to access and obtain the data.

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