Additional Areas

Mike ZinkCASA Deputy Director

University of MassachusettsNSF Year 9 Visit, July 2nd, 2012

Overview• Multifunction MC&C• Infrasound• SBIR submissions• US Ignite/GENI

– Time series data streaming – MC&C in the cloud

• TropiNet• Cameras

How can we optimize system for the best response?

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

Low Flyers

• Integrated into MC&C• Initial tests in testbed

• UAV detect and avoid

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

Infrasound

• Spectrogram– data was

unremarkable

• Cohereogram– strong coherence

in the frequency band < ~1.5Hz.

Infrasound

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

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

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

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

Time Series

Operations Control Center

Operations Control Center

Short-term Forecast in the Cloud

Short-term Forecast in the Cloud Long-term,

Large-scaleForecast

Long-term, Large-scaleForecast

End Users:Public, NWSEM,MediaIndustry

End Users:Public, NWSEM,MediaIndustry

Up to 150 Mbps

Up to n * 150 Mbps

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

NowCast in the Cloud

• Automated initialization of Nowcast in EC2 by MC&C

• Analyzed network capabilities• Analyzed compute capabilities

Instances Memory (GB)

Disk (GB) Exec. Time(seconds)

Total time(seconds)

EC2 7.5 850 71.98 95.08

Rackspace 8 320 102.48 120.33

GeniCloud 8 20 67.37 78.60

ExoGENI 8 20 56.10 72.07

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

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

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?