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Hazard Requirements from the Perspective of the Disaster Management Support Group

CE S. Hazard Requirements from the Perspective of the Disaster Management Support Group. Levin Lauritson, NOAA, USA. Disaster Management Support Group.

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Hazard Requirements from the Perspective of the Disaster Management Support Group

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  1. CE S Hazard Requirementsfrom the Perspective of theDisaster Management Support Group Levin Lauritson, NOAA, USA

  2. Disaster Management Support Group Objective: To support natural and technological disaster management on a worldwide basis, by fostering improved utilization of existing and planned Earth observation satellite data

  3. Hazard Team Coordinators Earthquake ESA, NPA/UK Fire USDA, UNEP, CFS/Canada Flood CCRS, NOAA Landslide CCRS, NIED Oil spill NRSC/UK Ice NIC/USA, CIS/Canada Volcanic hazards NOAA,USGS, U. of Reading/UK

  4. Dimensions of Disaster Management User Level Disaster Management Category Activity Status International Mitigation Research Regional Preparedness (Warning) Demonstration National Relief/Recovery Operational State Local Other User Services Data and Products Observations

  5. http://disaster.ceos.org

  6. Fire Fuels Mapping Risk Assessment Detection Monitoring (System) Mapping Burned Area Recovery Smoke Management Biomass Burning Detection (within) 5 minutes Repeat time 15 minutes Spatial resolution 250 meters False alarm rate (max.) 5% Fire intensity Real time transmission to local ground stations or information networks

  7. Flood River Floods Coastal Floods (Tsunamis) Urban Floods Flash Flood (Excessive Rainfall) Ice Jams

  8. FLASH FLOOD Data Resolution Requirements GOES and POES Threshold Optimum CHANNELS SpaceTimeSpaceTime VIS 1 km 1 hr 1 km 5 min 3.9 micron 4 km 1 hr 1 km 5 min 6.7 micron 8 km 1 hr 1 km 5 min 10.7 micron 4 km 1 hr 1 km 5 min 12.0 micron 4 km 1 hr 1 km 5 min 85.5 GHz 15 x 13 km 12 hr 10 x 10 km 15 min 37.0 GHz 37 x 28 km 12 hr 10 x 10 km 15 min 22.2 GHz 50 x 40 km 12 hr 10 x 10 km 15 min 19.3 GHz 69 x 43 km 12 hr 10 x 10 km 15 min Product Resolution Requirements ProductsThresholdOptimum SpaceTimeSpaceTime Precipitation: 50km 3 hour 1km 5 min SoilWetnessIndex: 50km daily 10km 4 times/day CompositedPW 50km 2 times/day 10km hourly

  9. Infrastructure status Land use Vegetation Soil Moisture Snow Pack DEM pre- & post-flood hours-days (function of Flood development 30m/5m drain age basin) Flood peak Damage assessment Bathymetry pre- and post-flood Spatial and Temporal Requirements For Non-Flash Flood Spatial Resolution Image delivery time Image refresh rate Application (Threshold/Optimum)

  10. Ice Icebergs, Sea Ice, Lake Ice GOES used by several national ice services to monitor ice in lower latitude seas and lakes Lower latitudes do not suffer from persistent illumination problems Spatial resolutions of 1 km (VIS) and 4 km (IR) insufficient for detailed ice mapping Requirement Threshold Optimum Ice Edge 750m, daily 100m, 6 hourly Detection, 100m, daily for avoidance

  11. Volcanic Hazard Volcanic Ash and Sulfur Dioxide Cloud Proximal Hazards - Lava flow - Other flows - Toxic gases - Ash debris Common elements - GOES VIS, IR, UV channels - 12 micron channel - Rapid detection of eruption is currently inadequate - Similar hot spot requirements as fire community

  12. Volcanic Ash/SO2 GOES Observation Requirements Spatial Temporal Phenomenon Data Threshold Optimum Threshold Optimum Ash cloud IR 5 km 1 km 30 min 5 min Visible 1 km .5 km 30 min 5 min Sounder 10 km 2 km 30 min 5 min SO2 Cloud UV 20 km 10 km 2 hr 5 min Thermal Anomaly * IR 1 km 30 m - Persistent 2 hr 5 min - Transient 30 sec 10 sec * Thermal anomaly verified with false alarm ratio <5%

  13. Volcanic Hazards GOES Channel Requirements Dual Long Wave Thermal IR 11-12 micron Dual Short Wave Thermal IR 2 - 4 micron SO2 Ash Absorption 8.5 micron Ultra Violet .3 - .4 micron

  14. Common Themes Integrated Systems - GOES, Polar - Operational and research satellites - Various spatial resolutions - Various refresh rates - In-Situ Requirements process should address integrated approach Rapid response coupled with higher spatial resolutionReal time access Smooth the path from research to operations

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