1. Additional Areas Mike Zink CASA Deputy Director University of Massachusetts NSF Year 9 Visit, July 2 nd, 2012

2. Overview Multifunction MC&C Infrasound SBIR submissions US Ignite/GENI –Time series data streaming –MC&C in the cloud TropiNet Cameras

3. How can we optimize system for the best response?

4. Multifunction MC&C So far, MC&C only used for –Radars –Control based on detection of atmospheric phenomena Detection of low-flying aircraft Control of camera networks –E.g., use radar data to visually verify potential flooding

5. Low Flyers Integrated into MC&C Initial tests in testbed UAV detect and avoid

6. Infrasound Two infrasound monitoring stations were deployed in the spring of 2011. –One in Cyril, Oklahoma (designated KCYR) and one in Rush Springs, Oklahoma (designated KRSP). –The two stations were ~30km apart. –The infrasound monitoring stations were collocated with two of CASA’s mechanically scanned X-band weather radars. 71 days of pressure data was collected at both stations. 20 days of wind speed and direction data was collected at the Cyril station. Cyril Rush Springs

7. Infrasound Spectrogram –data was unremarkable Cohereogram –strong coherence in the frequency band < ~1.5Hz.

8. Infrasound Radar image from: http://www.mmm.ucar.edu/imagearchive/

9. SBIR Submissions Phase-tilt radar –Work with FirstRF (in the process of becoming an associate member) to improve commercial phase-tilt antenna design Ridgeline –CASA spin-off, licensing CASA technology and implementing it in their commercial offering EWR –As CASA members already licensed algoritms. –Implementation of algorithms

10. MA1 Second year of operations to support EMs on UMass Amherst campus Joint efforts to secure funding for continued operation of MA1 Continued use for testing of new software

11. US Ignite/GENI US Ignite –applications and services for ultra-fast broadband and software-defined networks –Foster creation of novel applications that will transform healthcare, education and job skills training, public safety, energy, and advanced manufacturing. GENI –providing collaborative and exploratory environments for academia, industry and the public to catalyze groundbreaking discoveries and innovation in these emerging global networks

12. Time Series Operations Control Center Short-term Forecast in the Cloud Short-term Forecast in the Cloud Long-term, Large-scale Forecast Long-term, Large-scale Forecast End Users: Public, NWS EM,Media Industry End Users: Public, NWS EM,Media Industry Up to 150 Mbps Up to n * 150 Mbps

13. NowCast in the Cloud CASA involved in Alpha Demo at GENI Engineering Conference in D.C. (Nov. 2010) Today: only a few large NEXRAD radars (100s) Tomorrow: many (1000s) smaller, less expensive radars produce data close to the ground where weather happens Requires a flexible infrastructure for coordinated provisioning of shared sensing, networking, storage, and computing resources on-demand Issues: System integration Cloud designed for persistent, web-based services Data staging Sufficient on-demand bandwidth into the cloud

14. NowCast in the Cloud Automated initialization of Nowcast in EC2 by MC&C Analyzed network capabilities Analyzed compute capabilities InstancesMemory (GB) Disk (GB)Exec. Time (seconds) Total time (seconds) EC27.585071.9895.08 Rackspace8320102.48120.33 GeniCloud82067.3778.60 ExoGENI82056.1072.07

15. Cloud Sensing / Sensor Cloud Provide sensing, networking, and compute resources on demand Rapid provision and release Opportunistic sensing: –Sensing information from cell phones –Camera data

16. TropiNet Drafting an MOU between UPRM, CSU, and UMass to control TropiNet radars with MC&C Terrain and climate will pose new challenges to MC&C Courtesy of the NSF TropiNet project

17. Cameras Discussion with ITT Exelis to use their DFW camera network Goal: Weather validation Monitor public response First steps to put feedback loop around public response What do you see in the morning news?