Wind Farm s and Radar
Study Leader:
Michae l Bre nne r
Contributors Include:
She lly Cazare s (IDA Inte rn)
Michae l J. Co rnw all
Fre e m an Dyso n
Do uglas Eardle y
Paul Ho ro w itz
Darre ll Lo ng
Je re m iah Sullivan
Jo hn Ve se cky
Pe te r J. We inbe rge r
January 2008
JSR-08-125
Appro ve d fo r public re le ase ; distributio n unlim ite d
JASON
The MITRE Co rpo ratio n
7515 Co lshire Drive
McLe an, Virginia 22102-7508
(703) 983-6997
Form Approved
OMB No. 0704-0188
REPORT DOCUMENTATION PAGE
Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the
data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing
this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 222024302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently
valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS.
1. REPORT DATE (DD-MM-YYYY)
2. REPORT TYPE
January 2008
3. DATES COVERED (From - To)
Technical
4. TITLE AND SUBTITLE
5a. CONTRACT NUMBER
5b. GRANT NUMBER
Wind Farms and Radar
5c. PROGRAM ELEMENT NUMBER
6. AUTHOR(S)
5d. PROJECT NUMBER
M. Brenner et al.
13089022
5e. TASK NUMBER
PS
5f. WORK UNIT NUMBER
7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)
8. PERFORMING ORGANIZATION REPORT
NUMBER
The MITRE Corporation
JASON Program Office
7515 Colshire Drive
McLean, Virginia 22102
JSR-08-126
9. SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES)
10. SPONSOR/MONITOR’S ACRONYM(S)
US Department of Homeland Security
Science and Technology Directorate
Washington, DC 20528
11. SPONSOR/MONITOR’S REPORT
NUMBER(S)
12. DISTRIBUTION / AVAILABILITY STATEMENT
Approved for public release; Distribution unlimited.
13. SUPPLEMENTARY NOTES
14. ABSTRACT
As part of its 2008 Winter Study, JASON was asked by the Department of Homeland Security (DHS) to review
the current status of the conflict between the ever-growing number of wind-turbine farms and air-security radars
that are located within some tens of miles of a turbine farm.
15. SUBJECT TERMS
16. SECURITY CLASSIFICATION OF:
17. LIMITATION
OF ABSTRACT
a. REPORT
b. ABSTRACT
c. THIS PAGE
Unclassified
Unclassified
Unclassified
18. NUMBER
OF PAGES
19a. NAME OF RESPONSIBLE PERSON
Mr. Kevin “Spanky” Kirsch
19b. TELEPHONE NUMBER (include area
UL
code)
202-254-6425
Standard Form 298 (Rev. 8-98)
Prescribed by ANSI Std. Z39.18
Contents
1 EXECUTIVE SUMMARY
1
2 INTRODUCTION
3
3 FINDINGS
3.1 Mitigation Measures
3.2 Evaluation Tools . .
3.3 Other Findings . . .
3.4 Recommendations . .
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
iii
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
5
. 5
. 9
. 10
. 11
1
EXECUTIVE SUMMARY
Wind farms interfere with radar. This interference has led the FAA,
the DHS, and the DOD to contest many proposed wind turbines in the line
of sight of radar, stalling development of several thousands of MW of wind
energy. A large number of such denials is a serious impediment to the nation’s
mandated growth of sustainable energy.
There is no fundamental physical constraint that prohibits the accurate detection of aircraft and weather patterns around wind farms. On the
other hand, the nation’s aging long range radar infrastructure significantly
increases the challenge of distinguishing wind farm signatures from airplanes
or weather.
Progress forward requires the development of mitigation measures, and
quantitative evaluation tools and metrics to determine when a wind farm
poses a sufficient threat to a radar installation for corrective action to be
taken. Mitigation measures may include modifications to wind farms (such
as methods to reduce radar cross section; and telemetry from wind farms to
radar), as well as modifications to radar (such as improvements in processing;
radar design modifications; radar replacement; and the use of gap fillers in
radar coverage).
There is great potential for the mitigation procedures, though there
is currently no source of funding to test how proposed mitigations work in
practice. In general, the government and industry should cooperate to find
methods for funding studies of technical mitigations. NOAA has an excellent
research plan, but no adequate funding to carry it out.
Once the potential for different mitigations are understood, we see no
scientific hurdle for constructing regulations that are technically based and
simple to understand and implement, with a single government entity taking responsibility for overseeing the process. In individual cases, the best
1
solution might be to replace the aging radar station with modern and flexible equipment that is more able to separate wind farm clutter from aircraft.
This is a win-win situation for national security, both improving our radar
infrastructure and promoting the growth of sustainable energy.
Regulatory changes for air traffic could make considerable impact on
the problem. For example, the government could consider mandating that
the air space up to some reasonable altitude above an air-security radar
with potential turbine interference be a controlled space, with transponders
required for all aircraft flying in that space. This would both solve the
problem of radar interference over critical wind farms and would provide a
direct way to identify bad actors, flying without transponders.
Current circumstances provide an interesting opportunity for improving
the aging radar infrastructure of the United States, by replacing radar that
inhibits the growth of wind farms with new, more flexible and more capable
systems, especially digital radar hardware and modern computing power.
Such improvements could significantly increase the security of U.S. airspace.
2
2
INTRODUCTION
As part of its 2008 Winter Study, JASON was asked by the Department
of Homeland Security (DHS) to review the current status of the conflict between the ever-growing number of wind-turbine farms and air-security radars
that are located within some tens of miles of a turbine farm.
In studying this topic, we were very fortunate to have briefings from
talented scientists and engineers from the DOE, FAA, DOD and industry.
We would like to thank Gary Seifert (Idaho National Laboratory); Mark Carmouche (FAA); Peter Markus (FAA); Jim Perry (Sensis); Geoff Blackman
(Regulus); Shawn Jordan (84 Rades); Tim Crum (NOAA); Karl Dahlhauser
(DOD); and Stu Webster (Clipper Wind). Special thanks to Spanky Kirsch
(DHS) for both his help in teaching us about this problem, as well as identifying such an excellent list of speakers.
Wind turbines, with tip speeds of 6-7 times the wind speed, can create clutter interference and possibly significant Doppler interference with the
very sensitive radars fielded by the FAA, DOD, NOAA, and other agencies.
Aircraft targets and, to some extent, weather features seen by NOAA radars,
can be temporarily lost, fail to be located, shadowed by the radar signature
of the turbine farm, or misidentified, and the wind turbines may also lead to
false detection of aircraft. These problems have led the FAA to issue a number of Notices of Presumed Hazard, stalling further work on the installation
of several thousand MW of wind turbine power, and the DHS has issued an
interim policy calling for contesting any wind-turbine installations that are
in line of sight of the impacted radars. In a number of cases the military
has claimed that the wind-turbine farms are an encroachment on military
radar facilities, and have stalled construction on the turbine farm. Similar
problems have arisen in other countries where wind power is expanding.
As a result, the 2006 National Defense Authorization Act required the
DoD to prepare a report both on the effect of wind-turbine interference on
3
military readiness, and on possible mitigation measures. The report, which
was briefed to us by Karl Dahlhauser from DDR&E, concluded that there was
indeed significant impact from wind turbines, and that the best solution is, in
their words, “non-technical mitigation”. By this they mean that the preferred
solution is to declare encroachment and block the installation of offending
turbines, rather than to attempt to find technical means of ameliorating the
turbine impact.
We favor a different approach, based on mitigation approaches that will
be developed cooperatively by the government stake-holders in the radar
operations and the wind-turbine farm developers. This approach will involve:
• Move to a technically based rule system for determining the severity of
the interference. Quantitative metrics for when turbine farm interference has an unacceptable impact on air security should be developed
and consistently applied. The evaluation system should include include requirements that the cost and efficacy of potential mitigation
approaches be included as part of the decision process.
• Study in some detail a number of promising technical approaches that
we outline later on, to determine whether –and in what combination–
they can reduce interference to acceptable levels.
• Provide for, possibly in cooperation with the American Wind Energy
Association (AWEA) or similar turbine-developer organizations, an
appropriately-funded research and development effort on technical mitigation strategies.
• Consider the mitigation potential of regulatory changes for air traffic,
such as making the air space up to some reasonable altitude above an
air-security radar with potential turbine interference a controlled space,
with transponders required for all aircraft flying in that space.
The rest of our report provides more detail.
4
3
FINDINGS
Wind farms interfere with the radar tracking of airplanes and weather.
The velocity of the blade tips can reach 170 mph, causing significant Doppler
clutter. This creates problems and issues for several stake holders, including DHS, DOD, FAA and NOAA. Examples of issues include: a wind farm
located close to a border might create a dead zone for detecting intruding
aircraft; current weather radar software could misinterpret the high apparent shear between blade tips as a tornado; current air traffic control software
could temporarily lose the tracks of aircraft flying over wind farms.
Despite these difficulties, there is no fundamental physical constraint
preventing detection and mitigation of windmill clutter. The technologies
of wind turbines and radar can coexist. On the other hand, the nation’s
aging long range radar infrastructure increases the challenge of distinguishing
wind farm signatures from airplanes or weather; this is especially so since
many promising mitigation measures (discussed below) are based on digital
processing capabilities. The challenge is to evolve the current system, and to
design future sytems to effectively distinguish and mitigate a source of clutter
that was not anticipated in the original design specifications for either radar
or wind farms.
Progress forward requires the development of not only mitigation measures, but also of quantitative evaluation tools and metrics to determine when
a wind farm poses a sufficient threat to a radar installation for corrective action to be taken.
3.1
Mitigation Measures
There are a variety of mitigating measures that could be employed to al-
leviate the problem. In practical circumstances mitigation will likely consist
of a collection of techniques; these may vary on a site-to-site basis. Mit5
igation measures can be divided into modifications of the wind farm, and
modifications of the radar. Wind farm modifications include:
1. Reduced Radar Signature Several groups have suggested modifications
to the turbine blades that would modify or reduce their radar signature.
One proposal is to put an active layer on the outside of the turbine
blades to modulate dynamically the blade Doppler signature. These
modulations, it is claimed, could shift the Doppler frequency spectrum
from the blades to lie outside the range of frequencies processed by
the radar. It is not known, to us at least, whether such modifications
to the outside of the blades would produce unacceptable changes to
their aerodynamic properties or whether they would last the lifetime
of the blades. Another proposal, from QinetiQ, is to modify the inside of the blades (which are hollow and made of dielectric materials
that are almost transparent to the radar beam) with layers of circuits
and reflectors that would reduce the strength of the radar return from
the blades. Any such reduction is highly frequency-specific. It is a
research project to show that these measures would be effective at the
relatively long (L-band) radar wavelengths typical of US air-security
radars, whose size is in the range of the sizes of the tips of the turbine
blades. This is the regime where radar signature reduction measures
are typically the most difficult. The potential for signature reduction
is considerable; QinetiQ has carried out tests with shorter-wavelength
radars on sections of wind turbine blades that are larger than the tips
and claims a factor of 100 reduction in signature. They also claim that
the cost penalty for such treatment is of the order of 10% of the total
blade cost.
2. Telemetry from turbines to radars Although it may be possible to use
sophisticated radar data processing to blank out turbine radar returns
while preserving returns from objects of interest, such as aircraft, it
would seem much easier to do so if the actual configuration of the turbines were known at every instant. Data about the instantaneous state
6
of every turbine (angular velocity, phase, azimuthal orientation of the
turbine axis, and pitch angle) could be telemetered to the radar processors and electronics. The data stream is quite small, probably no more
than 50 to 100 bits per second per turbine, and the turbine-mounted
sensors needed for the four quantities listed above are straightforward
and not expensive (although not necessarily available without retrofits).
Armed with this information, the processor, with the aid of a relatively
simple model of the turbine radar cross section, could make a near realtime calculation of the time-varying amplitude expected from each turbine in the farm and subtract it coherently from the radar input signal.
The potential of this technology is promising, although unproven; we
believe it is worth investigating. Significant networking, data processing, and implementation challenges might exist, to be investigated in a
research project.
Radar system modifications can be further subdivided into modifications of radar hardware and of radar software. Useful radar software modifications presuppose a radar with digital output and the capability to mount
sufficiently powerful processing power. Although it remains to be shown how
much processing power will be enough, a good basis of comparison for a radar
with modern and flexible processing is NOAA’s NEXRAD weather radar. In
contrast to older radars, the most modern NOAA radar can stream raw data
into an external laptop, which furnishes it with plenty of computing power
for its data processing needs. Unfortunately, many long-range air-security
radars cannot take advantage of modern processing power because their processor approaches are hardwired and changes in processing software require
changing hardware. (See however, item 3 below.)
1. Processing For long-range radar, we were shown only processed and
filtered data, from which primary aircraft tracks were sometimes lost
over wind farms. Secondary (i.e., transponder, or “beacon”) tracks
were rarely affected. While it is clear that the filtered data loses aircraft over wind farms, the extent to which there is significant infor7
mation loss in the raw data is completely unclear: The question is
whether aircraft can be detected near wind farms, in the raw, unprocessed data. Although we were not shown raw data for aircraft, we were
shown the evolution of range and doppler signals for a large weather
front passing near a wind farm in the NEXRAD weather radar. There
was a clear distinction between the signals for the weather front and
the wind farm, strongly suggesting that automated methods could be
designed for discriminating between the two. It is evident to the eye
that the completely stationary wind farm could be distinguished from
the moving weather in dynamic (movie-like) imagery, and this must
be kept in mind for processing improvements. As a caution, without
access to raw data for aircraft, we cannot say whether the distinction
between aircraft and wind farm signatures will be as clear to the eye.
2. Radar Design Modifications The radar could be modified to have shorter
pulses, a higher pulse repetition frequency (PRF), local oscillators coherent over a turbine blade period, or multiple elevation beams to avoid
ground scraping. The higher PRF allows for painting a given turbine
blade with more pulses before the blade rotates significantly. The design of the entire radar signature (including side lobes) needs to take
into account the presence of wind farms. For example we were briefed
about an incident where the interference with a wind farm occurred in
a side lobe.
3. Radar Replacement Radars which don’t have the capabilities to mitigate wind farm interference could simply be replaced, in a phased
upgrade of the aging radar infrastructure. The new radar would incorporate multidimensional detection, with greatly enhanced processing,
with pulse shapes designed to optimally distinguish between aircraft
and wind farms. The cost of a single radar installation was said to be
in the range of $3–8M, to be compared with the $2–4M cost of a single
wind turbine, and the roughly $0.5M annual electric production of a
single turbine (5×106 kWh, at $0.10/kWh retail). A wind farm can
8
have hundreds of turbines.
4. Gap Fillers When a wind farm has caused an unacceptable loss of
coverage, a supplementary gap filler radar could be installed,with appropriate data fusion. The gap filler, by allowing a second view of the
wind farm radar interference, makes it considerably easier to process
this interference out through data fusion.
We believe there is great potential for these mitigation procedures. However, we were shown relatively little effort aimed at understanding how each
would work in practice. According to our briefers, there is no source of research funding to study the efficacy of the various mitigation procedures.
Neither the wind farm manufacturers (AWEA) nor government entities support significant research activies. NOAA has an excellent research plan, but
no adequate funding to carry it out.
3.2
Evaluation Tools
Although wind farm interference with radar is well documented, it is
important to have quantitative metrics to determine in particular situations
the impact of this interference on the required radar performance. Such
metrics would depend on the particular situation: for example the metric
used by the FAA to evaluate radar needs over low population density airspace
would be quite different than those used by DHS for border security.
The evaluation of the potential impact of wind farms on specific radars
in specific situations would be greatly aided with software tools. Such evaluation tools were not discussed during our briefings, and, to our knowledge,
do not currently exist. The development of such software tools requires gathering enough experimental data to allow formulation of a model for the radar
signatures of wind turbine generators at least as a function of type, rotation
rate, aspect angle, and blade angle. Such a model must be validated by
9
testing against different experimental configurations. It could be determined
whether wind farm signatures could be separated from those of aircraft on
a particular radar, in terms of signal to noise, probability of detection, false
alarm rate, etc. Particularly important is the gathering of I (in-phase) and
Q (quadrature) radar data, rather than simply radar-return intensities. The
extra phase information of the combined I and Q data make it possible to
test coherent-processing software algorithms. Fortunately, a fair amount of
useful I and Q data already exists, and more could be gathered, for example
by use of the AFRL Mobile Radar Laboratory.
3.3
Other Findings
The United States’ long range radar infrastructure is aging and inflexi-
ble. Perimeter radar systems are typically the ARSR-4, which was designed
in the early 1990’s. The radars in the interior of the United States are much
older. Approximately 80% of the radars are a late 1950’s design that was
upgraded in the early 1980’s; the rest were designed in the early 1970’s. In
contrast, computing speed has increased 600 fold since the early 1990s. We
were told by an independent radar expert (M. Tuley, private communication)
that even if the radar beam were physically modified to prevent direct line of
site with a wind farm, the processing is often hard wired, and unchangeable
for older systems. Unfortunately, some air-security radars are stuck with
outdated and inflexible processing capabilities, far less than those of a current laptop computer. Any radar update program should strive to enable the
radar to connect to modern computing power, with processors that are easily replaced as computing power continues on its exponential growth curve.
Such development will allow flexible evolution of backend signal processing
and mitigation algorithms. The limited capability and lack of flexibility in
long range primary radar is a national security issue.
Current circumstances therefore lead to an interesting opportunity for
improving the aging radar infrastructure of the United States, by replacing
10
radar that inhibits the growth of wind farms with new, more flexible and
more capable systems, especially digital radar hardware and modern computing power. Such improvements could significantly increase the security
of U.S. airspace. Designing radars to be more robust in wind farm clutter
environments is likely to be useful for future military or civilian radars used
in foreign countries, with their significant wind farm densities.
3.4
Recommendations
1. We recommend that the Government move beyond a policy of unilaterally blocking turbine farms on the basis of any observable impact on
existing radars, and move to a technically based rule system for determining the severity of the interference. The evaluation system should
include a cost benefit analysis of mitigation strategies as outlined below. Once the potential for different mitigations are understood, we
see no scientific hurdle for constructing regulations that are simple to
understand and simple to implement, with a single government entity
taking responsibility for overseeing the process.
2. The Government and developers should consider as an alternative giving developers the option of furnishing gap-filler radars, or contributing
to the cost of replacement long-range radars, as part of the price for
constructing turbine farms that would otherwise encroach. This way,
the US not only eases the way to increased renewable energy supplies
but improves an aging air-security radar infrastructure. The amount of
developers’ contributions should be established cooperatively through
negotiations, not unilaterally by the Government, and will probably lie
in the range of one to a few percent of the turbine farm construction
costs.
3. A research program on technical mitigations needs to be started. This
program should
11
(a) Gather I and Q data and use this as a test bed for software processing. The tests should be carried out under two sets of assumptions:
i. Assume no real-time knowledge of turbines
ii. Assume real-time knowledge of turbine motions, e.g. through
telemetry.
(b) Make a full scale test of radar signature reduction techniques at
the wavelengths used in FAA and US Radars.
(c) Gather data with something like the AFRL mobile lab to (i) characterize turbines and (ii) determine the needed characteristics of
a gap filler radar.
4. We recommend that some combination of the Government and the
turbine-farm industry fund and carry out research on the technical mitigation measures we have discussed. Currently neither the government
nor the wind farm manufacturers are making significant investments in
research on mitigation measures. There is presently little incentive for
the industry to sponsor research, and while the incentive may emerge
in the future, for now we recommend that the Government jump-start
the research process. Ultimately the wind farm manufacturers ( the
AWEA, or a similar organization) could need an EPRI (electric power
research institute) equivalent, or alternatively could connect directly
with EPRI.
5. The Government should evaluate as a mitigation strategy the impact
of controlling air space over wind farms. An example is to require all
traffic over a wind farm in a specified box of altitude and lateral extent
to have transponders. This would not only help to identify potentially
hostile flights (not transponding) but also might also come close to
solving the interference problem for transponding aircraft.
12
DISTRIBUTION LIST
Assistant Secretary of the Navy
(Research, Development & Acquisition)
1000 Navy Pentagon
Washington, DC 20350-1000
Assistant Deputy Administrator for
Military Application [5]
NA-12
National Nuclear Security Administration
U.S. Department of Energy
1000 Independence Avenue, SW
Washington, DC 20585
DARPA Library
3701 North Fairfax Drive
Arlington, VA 22203-1714
Director of Space and SDI Programs
SAF/AQSC
1060 Air Force Pentagon
Washington, DC 20330-1060
Deputy Under Secretary of
Defense Science & Technology
3040 Defense Pentagon
Washington, DC 20301-3040
Headquarters Air Force XON
4A870 1480 Air Force Pentagon
Washington, DC 20330-1480
IC JASON Program [2]
Chief Technical Officer/OCS
2P0104 NHB
Central Intelligence Agency
Washington, DC 20505-0001
JASON Library [5]
The MITRE Corporation
3550 General Atomics Court
Building 29
San Diego, CA 92121-1122
Records Resource
The MITRE Corporation
Mail Stop D460
202 Burlington Road, Rte 62
Bedford, MA 01730-1420
Reports Collection
Los Alamos National Laboratory
Mail Station 5000
MS A150
PO Box 1663
Los Alamos, NM 87545
Superintendent
Code 1424
Attn: Documents Librarian
Naval Postgraduate School
Monterey, CA 93943
U. S. Department of Energy
Chicago Operations Office Acquisition and
Assistance Group
9800 South Cass Avenue
Argonne, IL 60439
U S Army Space & Missile Defense Command
Attn: SMDC-ZD (Dr. Swinson)
PO Box 1500
Huntsville, AL 35807-38017
Dr. Albert Brandenstein
Chief Scientist
Office of Nat'l Drug Control Policy Executive
Office of the President
Washington, DC 20500
Mr. Thomas D’Agostino
U.S. Dept of Energy
National Nuclear Security Administration
1000 Independence Avenue, SW
NA-10 FORS Bldg
Washington, DC 20585
Dr. James F. Decker
Principal Deputy Director
Office of Science, SC-2/Forrestal Building
U.S. Department of Energy
1000 Independence Avenue, SW
Washington, DC 20585
Ms. Shirley A. Derflinger
Management Analysis
Office of Science for Biological &
Environmental Research
SC-23/Germantown Building
U.S. Department of Energy
1000 Independence Ave., SW
Washington, D.C. 20585-1290
Dr. Jerry Elwood
Acting Associate Director of Science for
Biological and Environmental Research
Germantown Building / SC-23
U.S. Department of Energy
1000 Independence Avenue, S.W.
Washington, DC 20585-1290
Mr. Dan Flynn
Program Manager
DI/OTI/SAG
5S49 OHB
Washington, DC 20505
Dr. Paris Genalis
Deputy Director
OUSD(A&T)/S&TS/NW
The Pentagon, Room 3D1048
Washington, DC 20301
Mr. Bradley E. Gernand
Institute for Defense Analyses
Technical Information Services
Room 8701
4850 Mark Center Drive
Alexandria, VA 22311-1882
Dr. Lawrence K. Gershwin
NIC/NIO/S&T
2E42, OHB
Washington, DC 20505
Dr. Alfred Grasso
President & CEO
The MITRE Corporation
Mail Stop N640
7515 Colshire Drive
McLean, VA 22102-7508
Dr. Barry Hannah
Reentry Systems Branch Head, Navy Strategic
Systems Programs
Strategic Systems Programs (Attn: SP28)
2521 Clark Street, Suite 1000
Arlington, VA 22202-3930
Mr. Hal Hagemeir
Operations Manager
National Security Space Office (NSSO)
PO Box 222310
Chantilly, VA 20153-2310
Dr. Robert G. Henderson
Staff Director
The MITRE Corporation
Mailstop MDA/ Rm 5H305
7515 Colshire Drive
McLean, VA 22102-7508
Dr. Bobby R. Junker
Office of Naval Research
Code 31
800 North Quincy Street
Arlington, VA 22217-5660
Dr. Andrew F. Kirby
DO/IOC/FO
6Q32 NHB
Central Intelligence Agency
Washington, DC 20505-0001
Mr. Kevin “Spanky” Kirsch [5]
Director, Special Programs
US Department of Homeland Security
Science and Technology Directorate
Washington, DC 20528
Dr. Anne Matsuura
Air Force Office of Scientific Research (AFOSR)
Program Manager, Atomic & Molecular Physics
875 N. Randolph Street
Suite 235, Room 3112
Arlington, VA 22204
Dr. Daniel J. McMorrow
Director, JASON Program Office
The MITRE Corporation
Mailstop T130
7515 Colshire Drive
McLean, VA 22102-7508
Dr. Julian C. Nall
Institute for Defense Analyses
4850 Mark Center Drive
Alexandria, VA 22311-1882
Mr. William Ostendorff
Principal Deputy Administrator for
Nuclear Security
1000 Independence Avenue, SW
NA-1, Room 7A-049
Washington, DC 20585
Mr. Thomas A. Pagan
Deputy Chief Scientist
U.S. Army Space & Missile Defense Command
PO Box 15280
Arlington, VA 22215-0280
Dr. John R. Phillips
Chief Scientist, DST/CS
2P0104 NHB
Central Intelligence Agency
Washington, DC 20505-0001
Dr. William S. Rees, Jr.
OSD/DDR&E
Deputy Under Secretary of Defense for
Laboratories and Basic Sciences
3030 Defense Pentagon
Room 3C913A
Washington, DC 20301-3030
Dr. John Schuster
Submarine Warfare Division
Submarine, Security & Tech Head (N775)
2000 Navy Pentagon, Room 4D534
Washington, DC 20350-2000
Dr. Alan R. Shaffer
Office of the Defense Research and Engineering
Director, Plans and Program
3040 Defense Pentagon, Room 3D108
Washington, DC 20301-3040
Dr. Frank Spagnolo
Advanced Systems & Technology
National Reconnaissance Office
14675 Lee Road
Chantilly, VA 20151
Mr. Anthony J. Tether
DIRO/DARPA
3701 N. Fairfax Drive
Arlington, VA 22203-1714
Dr. Bruce J. West
FAPS - Senior Research Scientist
Army Research Office
P. O. Box 12211
Research Triangle Park, NC 27709-2211
Dr. Linda Zall
Central Intelligence Agency
DS&T/OTS
3Q14, NHB
Washington, DC 20505-00