Extreme Weather Events ERC (TropiNet UPRM Testbed)

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Extreme Weather Events ERC (TropiNet UPRM Testbed) Program: NSF ERC Deadline: Dec 17, 2002 UPRM Team: José G. Colom Ustáriz, Sandra Cruz Pol, Rafael Rodríguez Solís, Walter Díaz, Havidán Rodríguez, Lionel Orama University of Puerto Rico Mayaguez August 30, 2002

Academic Partners University of Massachusetts Dr. David McLaughlin Colorado State University Dr. Steven A. Rutledge, Dr. V. Chandrasekar University of Oklahoma Kelvin K. Droegemeier Mount Holyoke College, MA

Hurricanes Hurricanes are large, tropical storm systems that form and develop over the warm waters near the equator. They are responsible for weather that can devastate entire communities: Heavy rain -- Flooding Strong Winds Very Large Waves and Storm Surge Possibly Tornadoes 1

Flash Floods - #1 Weather Related Killer in US Rapid City, SD (1972) 238 fatalities $164 million damage Dallas, TX (1995) 16 fatalities $1 billion damage Ft. Collins, CO (1997) 5 fatalities $100 million damage Hurricane Mitch (1998) >10,000 fatalities in Central America

How can we improve the forecas t and effectively manag e the impact of landfalling hurricanes? How can we reliably detect and warn ag ains t deadly tornadoes? How can we predict flas h floods, damag ing hail, and s evere thunders torms s everal hours in advance? How can we reduce weather-related air traffic delays? How do we effectively manag e the flow of weather information before, during, and after a natural dis as ter?

Coverage Floor at Rmax Source: Assessment of NEXRAD Coverage and Associated Weather Services, National Research Council, National Academy Press, 1995.

NEXRAD Installation 8.5 meter antenna 10 meter radome 500 kw transmitter 165 installations across US including one (1) in Cayey, PR.

WSR-88D Facility Damage in Northern Taiwan 1996 Source: NCAR Web Site http://www.scd.ucar.edu/vg/herb/herb.html

Improved Prediction of Extreme Weather events

Improved Detection and Prediction of Extreme and High-Impact Weather events Requires dense observations information management accurate numerical forecasting

May 3, 1999 Tornado Outbreak in Oklahoma 38 dead, 748 injured, $1 Billion damage NWS warning based on NEXRAD detection of a tropospheric mesocyclone saved est. 600 lives UMASS/UOklahoma radar captures the tornado on the ground, yielding highest Spatial resolution images ever with Wband radar

The Data Problem Spatial Domain 200 km x 200 km x 10 km Voxel Resolution 100 m x 100 m x 100 m Storm Data Volume 200 M voxels 4 bytes per voxel 800 Mbyte or 6.4 Gbit per update Update Every Minute 100 Mbit/sec

Demonstration Network 5 Nodes in Western Massachusetts

TropiNet - 11 Nodes in Puerto Rico

Key Technology Areas Sensors Wired & wireless access Networks & computation Small-scale modeling & numerical prediction Visualization, dissemination Social/Political Science

Research Challenges Sensing high resolution views of the lower troposphere; quantitative information extraction; low-cost sensors that can be built onto the national infrastructure (telecom towers, Internet access). Networking sensor network management, distributed computing, reliable, affordable access to selective data; open Internet-based delivery. Predicting storm tracking; high resolution data assimilation; accurate NWP.

Engineering Research Center For Extreme Weather Events NWS Nat. Hurricane Ctr. NOAA Airlines Energy UMASS MIRSL UMASS ECE/CSE Raytheon Lockheed Martin M/A-Com General Electric UPR/Mayagüez Mt. Holyoke College 5 Colleges UPR/Mayagüez UMASS Computer Science Microsoft TASC Raytheon Univ. Oklahoma CAPS (NSF STC) CSU NCAR NSSL SPC

Approach to Achieving the Vision Scalable network architectures Distributed sensor testbeds Prediction Algorithms Field experiments Sensor development Multi-platform experiments

UPRM Progress towards ERC Pre-proposal was approved Formal Invitation from NSF MOU for Collaborative UMass/UPRM Ph.D Already have one graduate student working with Acquisition of laboratory space-stefani 201 UMass-PI, visited UPR in February, 2002 and met with Adjunct professors: J. Colom, S. Cruz, S. Sekelsky & R.Rodríguez UPRM and UPR-CA provided $11,880 for pre-proposal meetings. First meeting was in April, 2002 Second meeting schedule for early September, 2002. Raytheon modifications to X-band radar (this summer at UMass) Survey analysis of PR island network of weather radar Drs. M.Gómez, Pablo Rodríguez, L. Morell and R. Vázquez.

UMASS/UPR Research Opportunities UPRM/UMASS Summer Minority Engineering Program 1999 Nelson Vega, Rafael Ramirez 2000 Nivia Colon (currently MS student at UPR), Michael Tricoche 2001 Leyda León (currently MS student at UPR), Will Padilla, Edna Prado, Harry Figueroa (now UMASS MS student), Profs. Cruz-Pol and Colom-Ustáriz (visiting professors at Umass) 2002 Jorge Roman (current MS student at UMASS, NASA Fellowship) 2002 Jorge Trabal (summer SPUR program at UMass, current MS student at UPRM) Current research collaboration Profs. Colom-Ustáriz and Sekelsky developing a radar sensor node using Raytheon hardware at Mayaguez. Profs. Cruz-Pol, MS students Nivia Colón, Leyda León, and Jorge Villa and Prof. Sekeleky data analysis for next-generation cloud sensing using mmwave radars at Mayaguez.

What s next? Waiting for pre-proposal review from NSF Meeting with PR agencies: Aug 23 NWS, Meteorologist, government representative Meeting with Gómez and McLaughlin Sept 6 Next meeting: Sept 14, 2002 Matching funds

Wireless LAN 11 Mbps at 12 miles (18 km) 2 Mbps at 25 miles (40 km) Seavey Engineering 4 Dual-polarized parabola Raytheon High-Seas Marine Radar 25 kw magnetron 25

Radar Parameters f=9.6 GHz (X-band) Dual-polarization - linear V/H Pt = 25 kw (magnetron) Antenna diameter = 1 m Record Doppler moments (pulse-pair)

Mechanical Parameters 1 m-diameter antenna Elevation-over-azimuth scanner 10 m tower to clear vegetation Re-deployable towers?

Marine Radar to Atmospheric Radar Conversion: Technical Issues Magnetron frequency drifts with temperature Wide bandwidth receiver limits sensitivity to clouds and precipitation No Doppler Information Single Polarization