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Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology Workshop, November 3-7, 2008

Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

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Page 1: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown

The University of Western Ontario

Presented at the Bermuda Infrasound Technology Workshop,November 3-7, 2008

Page 2: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

Introduction & Overview Previous infrasonic influx estimates

(AFTAC) Method Results Summary and conclusions

Page 3: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

Flux of meter-sized and larger meteoroids still inadequately understood

Why do we care about influx rate? Meter sized and larger objects can penetrate the atmosphere and produce

craters Critical to dating of young planetary surfaces Helps quantify the risk of small asteroid impact with Earth Constrains models of asteroid evolution Confirms idea that most meter-to-hundred meter sized NEOs are asteroidal (not

cometary)

Influx rate estimates come from a variety of sources:

Lunar cratering record (Werner et al., 2001) Lunar Impact-flash record (Ortiz et al., 2007) Infrasonic pressure sensor arrays (ReVelle, 1997) US DoD Satellites (Brown et al., 2002) Ground-based photographic fireball networks (Halliday et al., 1996)

Page 4: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

C h e m i c a l a n dn u c le a r e x p lo s io n s

M e t e o r s

E a r t h q u a k e s(e p ic e n t e r a n dg r o u n d - c o u p le dw a v e s )

M ic r o b a r o m s

E x p lo s iv ev o lc a n ice r u p t io n s

S u p e r s o n ica ir c r a ft

R o c k e tla u n c h in g S e v e r e

s t o r m s I n fr a s o u n d g e n e r a t e d b ya ir f lo w o v e r m o u n t a in s

A u r o r a

S a te l li te a n d o th e rs p a c e d e b r is r e - e n tr y

A v a la n c h e s

Page 5: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

Global network of ground-based arrays looking for nuclear events

Operated from ~1960 to August 1974 Microbarometer pressure sensors placed 6-12 km apart at 16-25

locations worldwide Low and high frequency bands, each with its own frequency

response filter, 440 – 44 s and 25 s – 8.2 Hz, respectively Various sources detected (volcanic eruptions, earthquakes,

aurora, bolides, etc.)

Ten bolide events detected – most of them were also verified by other methods (seismic, etc.)

Events range from 0.2 kt up to 1,100 kt (S. African bolide)

The S. African bolide is very significant

Page 6: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

The most comprehensive estimate to date examined satellite data (Brown et al., 2002)

Various flux estimates differ in results and assumptions – another independent study would be very valuable

S. African bolide

Page 7: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

Shoemaker & Lowery (1968), Gault (1970): AFTAC infrasound data

“Airwave” objects (Revelstoke, etc.) - First recognition that AFTAC large events were bolides

Abstracts ONLY!!!! No details of analysis procedures… Wetherill and ReVelle (1978):

Entire AFTAC bolide infrasound database Ten very large events over a ~14 year period- Global data set: 0.2

kt to 1.1 Mt; All bolide data confirmed by at least one other technique. The

entire technique was discussed in a Carnegie Institution of Washington (CIW) Annual Report (DTM- Department of Terrestrial Magnetism).

ReVelle (1980, 1995 -1997): Careful reanalysis of the entire historic, infrasonic bolide data Examined percent coverage during summer/winter, source energy

for each event (average versus individual values), etc. First “real” published estimate

Page 8: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

Given the following inputs: Source energy (from the AFTAC empirical relationship, etc.) Percent coverage of the Earth as a function of source energy and

season, i.e., the relative detection probability of each bolide event. Total time of operation of the infrasonic network

Cumulative bolide source energy prediction: ∑N = Cumulative (integral) number of bolides at any source

energy, ES

AE = Surface area of the Earth Percent coverage of the AFTAC global network = f(ES, season)•AE,

where f is known from a large database of explosive events for nuclear explosions of comparable source energy

∆tO = Time of operation of the infrasonic network N(ES) = ∑ N•{1/[f(ES, season)•AE]}•{1/∆tO} N(ES) = Cumulative number of bolides/(over the Earth per unit

time) as a function of the deduced source energy

Page 9: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

Source E estimates typically rely on empirical relations derived from known datasets

AFTAC – originally derived for nuclear explosions (ReVelle, 1978)

log (E/2) = 3.34 log (P) – 2.58 E/2 ≤ 100 kt

log (E/2) = 4.14 log (P) – 3.61 E/2 ≥ 40 kt

Empirical Infrasound amplitude/range relation (Edwards et al., 2006)

E = 103(a-kv)/b R3 A-3/b

We used all of these approaches to derive energies

Page 10: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

Complete hardcopy dataset carefully digitized

Applied correction to the original cylindrical pen recordings to transform the to linear quantities

Applied instrument response to the airwave signals Re-measured all quantities (raw digitized and modified

digitized) Apply wind fields

Before After

Page 11: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

Below: Corrections applied for the band-pass filter as given in Flores and Vega, JASA, 1975

Right: Infrasonic probability of detection as a function of yield and the season (AFTAC)

Page 12: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

Before:After:

Page 13: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

The S. African bolide waveform (JB)

Page 14: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

• Had to use ‘no-wind’ relations

•E averaged across stations for multi-station events

• AFTAC scaled => all events are scaled to the ‘benchmark’ event (confirmed by other reliable methods, 03-Jan-65)

• The S. African bolide remains a high energy event

Page 15: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

AFTAC modified

AFTAC (ReVelle, 1997)

Page 16: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

AFTAC (ReVelle, 1997)

AFTAC modified & scaled

Page 17: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

AFTAC (ReVelle, 1997)

Empirical, < 7 kt

Page 18: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

AFTAC (ReVelle, 1997)

Empirical, > 7 kt

Page 19: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

Cumulative influx curve showing data from: - a global debiasing of all telescopic surveys [Harris, 2008],- individual detailed debiased flux values from the Spacewatch and NEAT programs [Rabinowitz et al., 2000]. - lunar cratering data [Werner et al., 2002]- satellite observations [Brown et al. 2002] - the power law fit and extrapolation - The NASA 2003 NEO SDT estimated flux [Stokes et al., 2003].

Our two new sets of data points from the digitized historic bolide data set using: - i) the AFTAC energy-period relation [ReVelle, 1997], and - ii) the empirical E > 7 kt relation [Edwards et al., 2006]

Page 20: Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology

Various empirical relations used to determine source energies

Some multi-station events show variations in measured energy estimates

These variations could be contributed to the shockwave originating from different locations along the trajectory trail

Wind field could not be reliably applied (standard deviations are higher than measurement itself)

The S. African event is still very energetic (0.7 – 2 Mt) Previous and new AFTAC measurements are in agreement

within a factor Amplitude/range relation generally shows a significant

divergence from previous and new AFTAC energy estimates