CHRS - The Center for Hydrometeorology and Remote Sensing at UCI

NOAA Research Projects


NOAA PERSIANN-CDR Support for Hydrologic and Water Resource Planning and Management


The Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks - Climate Data Record (PERSIANN-CDR) provides daily and 0.25° rainfall estimates for the latitude band 60°S to 60°N for the period of 01/01/1983 to the delayed present. PERSIANN-CDR provides a consistent, long-term, high-resolution and global precipitation dataset which is suitable for studying the changes and trends of precipitation relevant to climate variability in the past 30 years. Currently the data is available for public access through NCDC CDR Program:

This retrospective satellite-based precipitation climate data record for hydrological and climate studies provides a basis for supporting hydrologic and water resource planning and management efforts. Research activities of using PERSIANN-CDR hydrologic applications are ongoing.

The objectives for this project are to:

  1. Study the changes and trend of daily precipitation extremes in the tail of the precipitation frequency distribution during the past 30 years across California.
  2. Compare the daily precipitation and the intensity and frequency of heavy storm events from reanalysis data against the proposed reconstructed precipitation data.
  3. Evaluate the performance of PERSIANN-CDR for the extreme precipitation events from atmospheric river (AR) events in California.
  4. Apply PERSIANN-CDR data in hydrologic modeling of floods.