Director: Soroosh Sorooshian

Transcription

1 Director: Soroosh Sorooshian X. Gao B. Imam K. Hsu S. O Rourke D. Hohnbaum J. Li G.H. Park D. Braithwaite E. Pritchard B. Khakbaz W. Chu A. Behrangi Alex R. Sutlana Joey A. Zahraei

2 Developing state-of-the-art systems to estimate rainfall from satellite observations at global scale and high spatial and temporal resolutions Developing modern methods to improve the performance and reliability of hydrologic, flood, and water supply forecasting models, particularly those used by the National Weather Service and other operational agencies. Utilizing Information Technology to provide world-wide access to real-time global precipitation products: Developing a California water supply forecast system (CaliForecast) that uses ground based and satellite observations to: Provide monthly and seasonal water supply forecasts for major dams/hydropower plants in the state Preparing the next generation of hydrologists and water resources engineers Assess the impact of climate change and variability on state s water and hydropower resources

3 Human Eye Visible Range Satellite Bare Soil Reflectance ( % ) Healthy Vegetation Stressed Vegetation Fresh Snow Clear Turbid River Water Wavelength (µm)

4

5

6 CaliForecast System Center for Hydrometeorology & Remote Sensing, University of California, Irvine Applied Climate Information System

7 Satellite Precipitation Developing state-of-the-art systems to estimate rainfall from satellite observations at global scale and high spatial and temporal resolutions Much of the world does not have adequate rainfall observation networks Radar, has blockage areas, particularly over mountain regions. Utilizing Information Technology to provide world-wide access to real-time global precipitation products: Satellites Global coverage High temporal resolution (GOES) New missions (TRMM) Precipitation Estimation from Satellite Information using Artificial Neural Network And Cloud Classification System (PERSIANN-CCS)

8

9 Satellite Precipitation Realtime 30 Minutes update Global (-60,+60 ) 0.04 (4 km) resolution System NESDIS

10 GWADI-GeoServer Precipitation individual pixels, Rapidly along generate with other extensive relevant realtime precipitation reports Zoom/Pan/Navigate for information watersheds (continental Real-time to small 3,6,12,24,48 hr precipitation watersheds) 24 and 48 hr extreme precipitation 1.Precipitation at 3,6,12,24, and 48 hours 2. Precipitation summaries Rapidly generate mean-area, extensive realtime precipitation min, max, reports for countries and average dmin units for rainy area, and 1.Precipitation rain/no-rain/ at 3,6,12,24, and 48 hours missing data) Other Elevation/land layers (aridity, cover landcover aridity distribution, maps and elevation) Temporal coverage: most recent 3,6,12,24, and 48 hours Spatial resolution: 0.04 Spatial coverage -60 to 60 Lat -180 to 180 Lon Update frequency: 30 minutes, delay: maximum 2 hours

11 HATI Team Hyperspectral Airborne Tactical Instrument Center for Hydrometeorology & Remote Sensing, University of California, Irvine

12 RGB Image, Enhanced RGB Image, Enhanced

13

14 Fire Hazard Early Detection (32 days ) t t+δt MODIS LU Forest & Shrub Directional Change Map t+2δt t+nδt MODIS NDVI Classifier Forest Progressive Change Index

15 Using scenes MODIS-NDVI composites from March/April USFS fire progression map (07/02/2002)