satellite-based global high-resolution precipitation product

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Center for Hydrometeorology and Remote Sensing, University of California, Irvine 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 University of California, Irvine PI: S. Sorooshian

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University of California, Irvine PI: S. Sorooshian. PERSIANN (0.25 °  0.25°) 07/25-27/2006. High resolution precipitation data are needed for hydrologic applications in SW. Severe storms propagate from mountains to low-elevated areas. PERSIANN CCS (0.04 °  0.04°) - PowerPoint PPT Presentation

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Page 1: SATELLITE-BASED GLOBAL HIGH-RESOLUTION PRECIPITATION PRODUCT

Center for Hydrometeorology and Remote Sensing, University of California, Irvine

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 precipitationdata are needed for hydrologicapplications in SW.

Severe storms propagatefrom mountains to low-elevated areas.

Acknowledgement. This research is partially funded by NASA/NEWS programs

University of California, IrvinePI: S. Sorooshian

Page 2: SATELLITE-BASED GLOBAL HIGH-RESOLUTION PRECIPITATION PRODUCT

Center for Hydrometeorology and Remote Sensing, University of California, Irvine

Acknowledgement. This research is partially funded by NASA/NEWS programs

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.

University of California, IrvinePI: S. Sorooshian

Page 3: SATELLITE-BASED GLOBAL HIGH-RESOLUTION PRECIPITATION PRODUCT

Center for Hydrometeorology and Remote Sensing, University of California, Irvine

SPI Data for Local Water Resource Managements(2005 six-month SPI)

University of California, IrvinePI: S. Sorooshian

Page 4: SATELLITE-BASED GLOBAL HIGH-RESOLUTION PRECIPITATION PRODUCT

Center for Hydrometeorology and Remote Sensing, University of California, Irvine

University of California, IrvinePI: S. Sorooshian