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Scientific and Technical Aerospace Reports Volume 38 July 28, 2000

Scientific and Technical Aerospace Reports Volume 38 July 28, 2000

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To investigate the effects of changes in the latitudinal temperature gradient <strong>and</strong> the global mean temperature on dust concentration<br />

in the Northern Hemisphere, experiments with the Goddard Institute for Space Studies General Circulation Model<br />

(GISS GCM) are performed. The dust concentration over Greenl<strong>and</strong> is calculated from sources in central <strong>and</strong> eastern Asia, which<br />

are integrated on-line in the model. The results show that an increase in the latitudinal temperature gradient increases both the<br />

Asian dust source strength <strong>and</strong> the concentration over Greenl<strong>and</strong>. The source increase is the result of increased surface winds, <strong>and</strong><br />

to a minor extent, the increase in Greenl<strong>and</strong> dust is also associated with increased northward transport. Cooling the climate in<br />

addition to this increased gradient leads to a decrease in precipitation scavenging, which helps produce a further (slight) increase<br />

in Greenl<strong>and</strong> dust in this experiment. Reducing the latitudinal gradient reduces the surface wind <strong>and</strong> hence the dust source, with<br />

a subsequent reduction in Greenl<strong>and</strong> dust concentrations. Warming the climate in addition to this reduced gradient leads to a further<br />

reduction in Greenl<strong>and</strong> dust due to enhanced precipitation scavenging. These results can be used to evaluate the relationship<br />

of Greenl<strong>and</strong> ice core temperature changes to changes in the latitudinal <strong>and</strong> global temperatures.<br />

Author<br />

Deposition; Greenl<strong>and</strong>; Soils; Temperature Gradients; Dust; Atmospheric General Circulation Models; Asia; Latitude<br />

<strong>2000</strong>0064052 Indiana Univ., Dept. of Geological Sciences, Bloomington, IN USA<br />

Innovative Seismic Array Analysis for Studies of Wave Propagation in the Earth Final Report, 1 May 1995 - 30 Apr. 1999<br />

Pavlis, Gary L.; Apr. 30, 1999; 44p; In English<br />

Contract(s)/Grant(s): F49620-95-1-0366<br />

Report No.(s): AD-A376<strong>28</strong>3; AFRL-SR-BL-TR-00-0144; No Copyright; Avail: CASI; A01, Microfiche; A03, Hardcopy<br />

We have developed a new seismic array data processing method to produce slowness vector estimates <strong>and</strong> an objective measure<br />

of their uncertainties in tile form of statistical confidence intervals. The slowness vector, which is typically transformed into<br />

bearing <strong>and</strong> velocity, is a key parameter used for identifying seismic phases <strong>and</strong> for event source location. Our method, multiwavelet<br />

beamforming, is closely related to both time-domain <strong>and</strong> frequency-domain beamforming. The major advantage of multiwavelet<br />

beamforming is that it produces multiple estimates of the slowness vector that are approximately statistically independent.<br />

First, a set of wavelet transforms is applied to the data in a manner analogous to the use of the windowed Fourier transform. Next,<br />

for each wavelet transform, we calculate semblance, a measure of signal coherence, for a range of possible slowness vectors. Then,<br />

the slowness vector estimate associated with that transform is the vector that produces the largest semblance value. The multiple<br />

slowness vector estimates can be treated as samples from a probability distribution, whose ”center” we estimate using the mean,<br />

the median, <strong>and</strong> an M-estimator. Uncertainty intervals are calculated for these estimators by applying the jackknife statistical<br />

method. The intervals for the mean estimator appear to be true statistical confidence intervals, but the estimates can be biased by<br />

a directional noise field in low signal-to-noise circumstances. The median estimates are less biased by a directional noise field,<br />

but sometimes underestimate the uncertainty. The M-estimator produces less-biased estimates while appearing to estimate correctly<br />

their uncertainty.<br />

DTIC<br />

Seismology; Data Processing; Antenna Arrays; Beamforming<br />

<strong>2000</strong>0064068 Scripps Institution of Oceanography, Cecil H. <strong>and</strong> Ida M. Green Inst. of Geophysics <strong>and</strong> Planetary Physics, La Jolla,<br />

CA USA<br />

One Century of Tectonic Deformation Along the Sumatran Fault from Triangulation <strong>and</strong> GPS Surveys<br />

Prawirodirdjo, L., Scripps Institution of Oceanography, USA; Bock, Y., Scripps Institution of Oceanography, USA; Genrich, J.<br />

F., Scripps Institution of Oceanography, USA; Puntodewo, S. S. O., Badan Koordinasi Survey dan Permetaan Nasional, Indonesia;<br />

Rais, J., Badan Koordinasi Survey dan Permetaan Nasional, Indonesia; Subarya, C., Badan Koordinasi Survey dan Permetaan<br />

Nasional, Indonesia; Sutisna, S., Badan Koordinasi Survey dan Permetaan Nasional, Indonesia; May 04, <strong>2000</strong>; 52p; In English;<br />

Original contains color illustrations<br />

Contract(s)/Grant(s): NAGW-2641; NSF EAR-88-17067; NSF EAR-90-04376; No Copyright; Avail: CASI; A04, Hardcopy;<br />

A01, Microfiche<br />

An analysis combining historical triangulation <strong>and</strong> recent Global Positioning System (GPS) survey measurements in West<br />

<strong>and</strong> North Sumatra, Indonesia, reveals a detailed slip history along the central part of the Sumatran Fault. The arc-parallel components<br />

of the combined velocity field are consistent with slip rates inferred from GPS data, ranging from 23 to 24 mm/yr. Between<br />

1.0 S <strong>and</strong> 1.3 N the Sumatran Fault appears to be characterized by deep locking depths, on the order of 20 km, <strong>and</strong> the occurrence<br />

of large (M (sub w) approximately 7) earthquakes. The long-term (1883-1993) strains show simple right-lateral shear, with rates<br />

similar to GPS-measured, 1989-1993 strain rates. Coseismic deformation due to the 1892 Tapanuli <strong>and</strong> 1926 Padang Panjang<br />

earthquakes, estimated from triangulation measurements taken before <strong>and</strong> after the events, indicate that the main shocks were<br />

significantly larger than previously reported. The 1892 earthquake had a likely magnitude of M (sub w) approximately equal to<br />

130

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