1. University of California, Irvine PI: S. Sorooshian
SATELLITE-BASED GLOBAL HIGH-RESOLUTION PRECIPITATION PRODUCT
(PERSIANN: Precipitation estimation from Remote Sensing Information using Artificial Neural Network)
PERSIANN
(0.25°  0.25°)
07/25-27/2006
PERSIANN CCS
(0.04°  0.04°)
07/24-27/2006
High resolution precipitation
data are needed for hydrologic
applications in SW.
Severe storms propagate
from mountains to
low-elevated areas.
Acknowledgement. This research is partially funded by NASA/NEWS programs

2. University of California, Irvine
PI: S. Sorooshian
Local Standardized Precipitation Index (SPI) for Hydro-climate Applications
SPI is an index used by National Drought Mitigation Center (NDMC) for climate monitoring, in particular, operational drought detection and triggers of the policy responses (Hayes et al. 1999). Currently, NDMC produces gauge-based monthly SPI for each U.S. climate division.
The demo shows the PERSIANN data are expanded to produce local SPI based on the climate divisions long-term precipitation data.
SPI calculation requires long-term (> 30 yrs) precipitation data to derive Precipitation Probability Density Function (PDF) for an area. Based on the PDF, the dry-wet climate index-SPI is calculated from the past month’s precipitation.
Acknowledgement. This research is partially funded by NASA/NEWS programs

3. SPI Data for Local Water Resource Managements
University of California, Irvine
PI: S. Sorooshian
SPI Data for Local Water Resource Managements
( six-month SPI)

4. University of California, Irvine
PI: S. Sorooshian