It looks like you're using an Ad Blocker.
Please white-list or disable AboveTopSecret.com in your ad-blocking tool.
Thank you.
Some features of ATS will be disabled while you continue to use an ad-blocker.
Originally posted by PuterMan
reply to post by kdog1982
Neat picture. Ice crystals those are. We get that here in Ireland as well. It is the same thing that causes noctilucent clouds.
Don't know about sun dogs - I thought they were camera artefacts, but I am not a photographer so I may be wrong.
Sundogs are made commonly of plate-shaped hexagonal ice crystals in high and cold cirrus clouds or, during very cold weather, by ice crystals called diamond dust drifting in the air at low levels. These crystals act as prisms, bending the light rays passing through them with a minimum deflection of 22°. If the crystals are randomly oriented, a complete ring around the sun is seen — a halo. But often, as the crystals sink through the air they become vertically aligned, so sunlight is refracted horizontally — in this case, sundogs are seen.
Fig 1 Earthquake lights from Mt. Kimyo, Matsushiro area, Japan, September 26, 1966, 0325 (JST). Luminosity lasted 96 sec (Derr, 1973; Yasui, 1968). (© Seismological Society of America).
While reliable pictures of EQL are scarce, one example of type 1 comes from the Matsushiro earthquake swarm from 1965 to 1967, Figure 1 (Yasui, 1968, 1971; discussed in Derr, 1973).
Magnitude 6.0
Date-Time
Tuesday, November 01, 2011 at 00:21:28 UTC
Tuesday, November 01, 2011 at 08:21:28 AM at epicenter
Location 43.633°N, 82.383°E
Depth 27.9 km (17.3 miles)
Region NORTHERN XINJIANG, CHINA
Distances
96 km (59 miles) ESE (106°) from Yining, Xinjiang, China
289 km (179 miles) SW (225°) from Karamay, Xinjiang, China
312 km (194 miles) WSW (257°) from Shihezi, Xinjiang, China
622 km (387 miles) E (80°) from BISHKEK (Frunze), Kyrgyzstan
Location Uncertainty horizontal +/- 13.7 km (8.5 miles); depth +/- 6.6 km (4.1 miles)
Parameters NST=417, Nph=418, Dmin=351.8 km, Rmss=0.58 sec, Gp= 25°,
M-type=body wave magnitude (Mb), Version=A
Source
Magnitude: USGS NEIC (WDCS-D)
Location: USGS NEIC (WDCS-D)
Event ID usb0006h8e
Magnitude 5.4 - NORTHERN XINJIANG, CHINA
2011 November 01 00:21:28 UTC
Versión en Español
Details
Summary
Maps
Scientific & Technical
Earthquake Details
This event has been reviewed by a seismologist.
Magnitude 5.4
Date-Time
Tuesday, November 01, 2011 at 00:21:28 UTC
Tuesday, November 01, 2011 at 08:21:28 AM at epicenter
Time of Earthquake in other Time Zones
Location 43.633°N, 82.383°E
Depth 27.9 km (17.3 miles)
Region NORTHERN XINJIANG, CHINA
Distances 95 km (59 miles) ESE of Yining, Xinjiang, China
289 km (179 miles) SW of Karamay, Xinjiang, China
302 km (187 miles) WSW of Shihezi, Xinjiang, China
2837 km (1762 miles) WNW of BEIJING, Beijing, China
Location Uncertainty horizontal +/- 13.7 km (8.5 miles); depth +/- 6.6 km (4.1 miles)
Parameters NST=417, Nph=418, Dmin=351.8 km, Rmss=0.57 sec, Gp= 25°,
M-type=centroid moment magnitude (Mw), Version=A
Source
Magnitude: USGS NEIC (WDCS-D)
Location: USGS NEIC (WDCS-D)
Event ID usb0006h8e
Originally posted by zenius
2 x 5.5, a 5.8 and a 6.1 within the day. Hmm that's enough for now.
[url=http://chinadigitaltimes.net/china/earthquake/]26 reported injured Xinjiang[/url reported as a 5.8edit on 31-10-2011 by zenius because: (no reason given)
emphasis mine
In seismology, temporal and spatial clustering are considered important properties of seismic occurrences and, together with the Omori law (dictating aftershock timing) and the Gutenberg-Richter law (specifying the distribution of earthquake size), comprise the main starting requirements to be fulfilled in any reasonable seismic probabilistic model.
Recently, a few papers have analyzed the existence of correlations between magnitudes of subsequent earthquakes [7, 8]. Analyzing earthquakes with # greater than 30 minutes, Ref. [7] reported possible magnitude correlations in the Southern California catalog. Magni- tude correlations have often been interpreted as a spurious effect due to so called short-term aftershock incompleteness (STAI) [9].
However, recent work has also challenged this interpretation. Reference [10] reports the existence of magnitude clustering in which earthquakes of a given magnitude are more likely to occur close in time and space to other events of similar magnitude. ... Reference [8] also reports the existence of magnitude correlations and additionally demonstrates the structure of these correlations and their relationship to #Deltat and Delta#r, where the latter represents the distance between subsequent epicenters. ... Additionally, Refs. [13] and [14] find that the distribution of recurrence times strongly depends on the previous recurrence time such that small and large recurrence times tend to cluster in time. This dependence on the past is reflected in both the conditional mean recurrence time and the conditional mean residual time until the next earthquake.
Since it is our hypothesis that long-range autocorrelations exist in seismic waves, we first note that long-range power-law autocorrelations are quite common in a large number of natural phenomena ranging from weather [24–26], and physiological systems [3, 27–30], to financial markets [31–37].
The results indicate the existence of at least short-term memory in the interval time series. Furthermore, we find that the mean interval increases with the seismic magnitude. However, this relationship breaks at the high end of the Richter magnitude scale M > 6.5.
We analyze seismic coda waves during earthquakes, finding long-range power-law auto-correlations in both the interval and sign time series. The sign series generally display power-law anticorrelated behavior, with anticorrelations becoming stronger with larger earthquake events, while the interval series generally display power-law correlated behavior, with correlations also becoming stronger with larger earthquake events. We also show that while the DFA autocorrelation exponent is influenced by the size of the earthquake seismic moment, it is unaffected by earthquake depth or epicentral distance. Our findings are in contrast with a standard approach which assumes independence in earthquake signals and thus have strong implications on the ongoing debate about earthquake predictability
power-law autocorrelations are quite common in a large number of natural phenomena ranging from weather [24–26], and physiological systems [3, 27–30], to financial markets