logging in or signing up brenda Charlie Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 54 Category: News & Reports.. License: All Rights Reserved Like it (0) Dislike it (0) Added: October 05, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript THE ERC/CASA NETRAD: THE ERC/CASA NETRAD Brenda Dolan AT741Engineering Research Center:CASA: Engineering Research Center:CASA Collaborative Adaptive Sensing of the Atmosphere Collaboration between University of Massachusetts University of Oklahoma Colorado State University University of Puerto Rico MayaguezPurpose: Purpose Earth curvature effects prevent 72% of the troposphere below 1 km from being observed The Plan: The Plan Build a dense network of radars to study the lowest 3km of the atmosphere NETRAD will look at phenomena generally missed by NEXRAD Tornados (track them with precision) Downdrafts Flash Floods Pre- and post-storm environments via clear air winds (index of refraction mapping) End-user integration Example: Texas Medical CenterNETRAD: NETRAD A NETwork of 4 X-band RADars located in Oklahoma Will sit on cell towers Deployment next springThe Radars: NETRAD: The Radars: NETRADThe Radars: NETRAD: The Radars: NETRADThe Radars: NETRAD: The Radars: NETRAD Tornado Pinpointing Data specifications: Azimuthal resolution: ~300m Range resolution: 100m or less Minimum height requirement: Top of tornado boundary layer (50m) Temporal resolution: 1 tilt in 10-30º sectors in 5s Minimum Reflectivity: -5 dBz Nyquist velocity: >25m/s with +/-1.0m/s accuracyProblems: Second trip: Problems: Second trip 2nd, and 3rd(!) trip echoes “Encode” the transmitted signal to determine which trip Random or Systematic Phase coding Staggered PRT & Phase Coding T1 T2Problems: Attenuation: Path attenuation depends on relative location of radar and cell. X-band observed reflectivity for one radar Intrinsic reflectivity Cumulative attenuation Problems: AttenuationSlide11: 6 radar observations Attenuation impact, according to different radar locationsProblems: Clutter: Problems: ClutterFuture: Future NetRad – Precipitating Storms Clear – Pre-Storm Environment Fleets – Opportunistic Deployment Bump up to 9 radars in OK Move to Houston to look at Flash Flooding Puerto Rico Student Test bed Electronic Scanning Bi-static systems “Off the grid” You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
brenda Charlie Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 54 Category: News & Reports.. License: All Rights Reserved Like it (0) Dislike it (0) Added: October 05, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript THE ERC/CASA NETRAD: THE ERC/CASA NETRAD Brenda Dolan AT741Engineering Research Center:CASA: Engineering Research Center:CASA Collaborative Adaptive Sensing of the Atmosphere Collaboration between University of Massachusetts University of Oklahoma Colorado State University University of Puerto Rico MayaguezPurpose: Purpose Earth curvature effects prevent 72% of the troposphere below 1 km from being observed The Plan: The Plan Build a dense network of radars to study the lowest 3km of the atmosphere NETRAD will look at phenomena generally missed by NEXRAD Tornados (track them with precision) Downdrafts Flash Floods Pre- and post-storm environments via clear air winds (index of refraction mapping) End-user integration Example: Texas Medical CenterNETRAD: NETRAD A NETwork of 4 X-band RADars located in Oklahoma Will sit on cell towers Deployment next springThe Radars: NETRAD: The Radars: NETRADThe Radars: NETRAD: The Radars: NETRADThe Radars: NETRAD: The Radars: NETRAD Tornado Pinpointing Data specifications: Azimuthal resolution: ~300m Range resolution: 100m or less Minimum height requirement: Top of tornado boundary layer (50m) Temporal resolution: 1 tilt in 10-30º sectors in 5s Minimum Reflectivity: -5 dBz Nyquist velocity: >25m/s with +/-1.0m/s accuracyProblems: Second trip: Problems: Second trip 2nd, and 3rd(!) trip echoes “Encode” the transmitted signal to determine which trip Random or Systematic Phase coding Staggered PRT & Phase Coding T1 T2Problems: Attenuation: Path attenuation depends on relative location of radar and cell. X-band observed reflectivity for one radar Intrinsic reflectivity Cumulative attenuation Problems: AttenuationSlide11: 6 radar observations Attenuation impact, according to different radar locationsProblems: Clutter: Problems: ClutterFuture: Future NetRad – Precipitating Storms Clear – Pre-Storm Environment Fleets – Opportunistic Deployment Bump up to 9 radars in OK Move to Houston to look at Flash Flooding Puerto Rico Student Test bed Electronic Scanning Bi-static systems “Off the grid”