Bulletin of the Seismological Society of America, 89, 5, pp. 1147-1155, October 1999 Worldwide Doublets of Large Shallow Earthquakes b y Y. Y. K a g a n a n d D. D. J a c k s o n Abstract We investigated all the pairs of Mw >-- 7.5 shallow earthquakes in the Harvard catalog that occurred at a centroid distance of less than 100 km. We showed that most of these pairs have similar focal mechanisms. Because these earthquakes generally should have focal regions in excess of 100 km diameter, their rupture zones apparently intersect. For all these pairs, the time interval is significantly less than the time span needed for plate motion to accumulate the strain released by the first event. These observations conflict strongly with quasi-periodic recurrence models on which the seismic gap hypothesis is based. Power-law recurrence fits these earthquake observations much better. Introduction Many models used to forecast long-term seismic hazard are based on the quasi-periodic or seismic cycle hypothesis of large earthquake occurrence. This hypothesis assumes that the probability of a large earthquake is low after significant release of seismic energy and that danger increases only when tectonic plate motion accumulates strain sufficient for a new strong event. Several models have been formulated to apply this idea to long-term earthquake prediction (McCann et al., 1979; Shimazaki and Nakata, 1980; Nishenko 1991; for more complete discussion, see Kagan and Jackson, 1995). Kagan and Jackson (1995c, and references therein) tested one of the seismic cycle models, the seismic gap model, and showed that its forecasts were less accurate than those of the Poisson model. Moreover, it can be shown that shallow earthquakes are clustered in time and space (Kagan, 1991a, and references therein; Kagan and Jackson, 1991). This clustering, which strongly manifests itself in aftershock sequences, contradicts the basic assumption of the quasiperiodic recurrence model. Historic data (Mulargia and Gasperini, 1995; Goes, 1996; Marco et aL, 1996) also suggest that large earthquakes are not quasi-periodic, as the seismic cycle hypothesis would imply. Lay and Kanamori (1980), Vidale and Kanamori (1983), Astiz and Kanamori (1984), Wesnousky et al. (1986), Xu and Schwartz (1993), Tanioka et al. (1996), Nomanbhoy and Ruff (1996), and Tanioka and Gonzalez (1998) noticed that earthquake doublets and multiplets (large earthquakes close in time and space) occur in various parts of the Earth. In this article, we present a systematic study of these clusters based on uniform criteria. We specify doublets as pairs of large earthquakes whose centroids are closer than their rupture size and whose interevent time is shorter than the recurrence time inferred from the plate motion. The seismic gap model in one form or another is still used to calculate seismic hazard (e.g., Nishenko and Sykes, 1993; Roeloffs and Langbein, 1994). The advocates of the quasi-periodic recurrence hypothesis propose that earthquake clustering is a property of small and intermediate events. They posit that for very large earthquakes that rupture the whole brittle crust and are characterized by displacement in meters, the clustering should give way to a quasiperiodic, cyclic behavior. The obvious clustering of very large earthquakes (M --> 8) compiled in instrumental catalogs (Kagan, 1991a; Kagan and Jackson, 1991) is rationalized by pointing out that although epicenters of such earthquakes may be in close proximity, their ruptures may propagate in opposite directions. Thus the rupture surfaces of such events may not intersect. Moreover, in the absence of information about the focal mechanisms, one can argue that close earthquakes may have different focal mechanisms, thus contradicting the conclusion that such events rupture a similar or the same fault segment. Accumulation of global high-quality centroid-moment tensor data collected in the Harvard catalog (Dziewonski et al., 1999) allows us to test the hypothesis that similar large earthquakes rupture the same seismic zone segment in a time interval too small for earthquake slip to be replenished by plate motion. Because the solutions yield centroid (center of the deformation release) coordinates, the centroid closeness signifies that patterns of significant deformation in both earthquakes should overlap. We can also use the seismic moment tensor data to ensure the similarity of focal parameters for both earthquakes. Although the earthquake pairs can be studied case by case using additional data, such as local earthquake catalogs, historic records, and so forth, the results of such investigations are not of uniform quality and lack the homogeneity and stability necessary for statistical analysis. Moreover, the variety of interpretative methods and the assumptions involved in data processing make comparing the results difficult. While statistical results can be used to forecast future 1147 1148 Y.Y. Kagan and D. D. Jackson earthquake occurrences quantitatively, case studies cannot usually be extrapolated into the future because they essentially analyze a unique seismic sequence. In this article, we investigate all the pairs of M w --> 7.5 shallow (depth less than 70 km) earthquakes in the Harvard catalog that occur at centroid distances of less than 100 km. Focal zones of these earthquakes extend over 50 to 100 kin. Thus, if the distance between their centroids is less than 100 km, their focal zones should intersect. Nishenko and Sykes (1993, p. 9912) suggest that for subduction zones events M w >-- 7.5 are "large earthquakes," that is, they rupture through the whole width of the seismogenic crust. The total number of earthquakes with the scalar seismic moment Mo -> 10 20.25 N.m (Mw >- 7.5) in the Harvard catalog (1 January 1976 to 31 December 1998) is 70. There are several slightly different formulas for calculating the moment magnitude. We use Mw = _2 × 3 logl0Mo - 6.0 (1) in this work because it is simplest. The magnitude calculated by (1) is used here only for illustration purposes; all pertinent computations are carried out with the moment M o values. In the following, where there is no possibility of confusion, we use the notation M for the moment magnitude. Earthquake Doublets Nine pairs of earthquakes satisfy the foregoing conditions for the doublets. In Figure 1, we display focal mechanisms of earthquakes M w >-- 7.5 and mark all the pairs discussed in this article. In Tables 1 to 3, we display the most important parameters of earthquakes as well as the distance, magnitude, and time differences between the event pairs. As Figure 1 and Tables 1 to 3 testify, all are subduction zone earthquakes, but they are not concentrated in any particular part of the world or particular geological province. The three-dimensional angle of rotation (Kagan, 1991b) between two solutions (~b) is also shown in Table 1; for six pairs, it is less than 30 ° . Therefore, both earthquakes in these pairs have similar mechanisms. We calculate the degree of fault rupture overlap r/- L 1 + L2 2R ' (2) where L1 and L 2 a r e the respective rupture lengths for the first and second earthquakes in the pair and R is the distance between the centroids. The rupture length is estimated assuming that the coseismic slip is proportional to it and the earthquake stress drop Act = 3 MPa (30 bars) (Scholz, 1990); the rupture width W is assumed to be 25 km. / Mo L = ./ AaW ' (3) The values of ~/ in excess of 1.0 suggest that the rupture zones of both earthquakes overlap. Six out of nine ~ values are larger than 1.0. Even if we take W = 50 km, the ~/value decreases by a factor of f2. Four q values exceed ]2. Equation (3) yields a conservative estimate of the rupture length. If we use estimates of rupture length based on aftershock patterns (Pegler and Das, 1996) or from a variety of sources (Wells and Coppersmith, 1994), the t/ values would be significantly higher. For example, according to (3), L = 48.7 km for a magnitude 7.5 earthquake (M0 = 1020.25 N.m), and L = 115.5 km for magnitude 8.0 (Mo = 1021 N-m). Using expressions in Wells and Coppersmith (1994, Table 2A), we obtain for the foregoing events the values of L = 93 km and L = 183 kin, respectively. From Figure 1 in Pegler and Das (1996), we estimate the appropriate L values as about 100 and 250 kin, respectively. Accepting such estimates for rupture length would increase the q values in Table 1 by a factor of about 2, implying greater overlap of rupture zones. All the pairs occur on plate boundaries (subduction zones), identified, for example, by McCann e t al. (1979), Nishenko (1991), and Jarrard (1986). The calculation of the theoretical recurrence time shown in the last column of Table 1 is based on plate tectonics (NUVEL-1A model [DeMets et al., 1994]). For M w = 7.5, we take the average slip of 2.50 m, the rupture length of 100 km, the width of 25 km, and elastic modulus/z equal to 30 GPa (Scholz, 1990, p. 182). The computations indicate that the second earthquake in each pair occurred much sooner than would be expected for the average slip to be recovered by tectonic motion. Most earthquakes in the table are greater than magnitude 7.5. Thus, for them, the discrepancy would be higher. In addition, if we assume Act = 3 MPa and L ~ 50 km (see previous text), the slip would equal 5 m, and the theoretical recurrence time would be two times longer. In Table 3, we compare the Harvard solutions with those in the USGS catalog (Sipkin and Zirbes, 1997) and the PDE worldwide catalog of earthquakes (U.S. Geological Survey, 1997) for all the earthquakes shown in Table 1. Different methods give quite different earthquake source estimates (Frohlich and Davis, 1999). This points out why it is important to use a data set with consistent methodology, such as the Harvard catalog in our case. The hypocenter is usually located at some distance from the centroid, the difference being due to location errors and rupture originating closer to the edge of the focal area (Smith and Ekstr6m, 1997). As can be expected, the distance increases on average with increasing magnitude, although the correlation coefficient is small. The number of pairs in Table 1 is too small for any reliable conclusions about the statisticalinterearthquake time distribution or dependence of the rotation angle dp and the Worldwide Doublets of Large Shallow Earthquakes 1149 ........... a.=, J I I i r"i --.I ............ ® l ............ 'r . . . . . . . . . . . . ~ ......... ...',,~ 7 8"'~ ............ t .......... 2 --4 ............ I ............ I, . . . . . . . . . . . . '- . . . . . . . . . . . . 1. . . . . . . . . . . . l ..... , 11:2 !9 ............ t ............ ~ ............ F ............ . . . . . "1. . . . . . . . . . . . F-- t-. ® Figure 1. Map showing the locations of all 70 earthquakes with moment magnitude 7.5 and greater in the Harvard catalog, 1976 to 1998. Beach ball patterns show the focal mechanisms. The paired events studied in this article are shown with their compressional quadrants fully darkened; unpaired events have compressional quadrants shaded. Numbers near earthquake symbols identify sequence number of paired events in Tables 2 and 3. Table 1 Pairs of Shallow Earthquakes Mw ~ 7.5 First Event No. 1 2 3 4 5 6 7 8 9 1 3 3 4 5 6 7 9 11 Date 1978/03/23 1980/07/08 1980/07/08 1980/07/17 1983/03/18 1984/02/07 1985/09/19 1987/03/05 1990/04/18 Second Event M w No. 7.6 7.5 7.5 7.8 7.8 7.6 8.0 7.6 7.7 2 4 15 15 14 10 8 13 12 Date 1978/03/24 1980/07/17 1997/04/21 1997/04/21 1995/08/16 1988/08/10 1985/09/21 1995/07/30 1991/06/20 Difference Mw 7.6 7.8 7.8 7.8 7.8 7.6 7.6 8.1 7.6 R (kin) 25 62 33 92 83 85 71 33 37 Tectonic Rate r/ qb (deg) At (day) V (cm/yr) A T (day) 2.31 1.06 1.94 0.86 0.95 0.68 1.26 2.81 1.62 7 18 43 35 26 50 14 7 29 2 9 6131 6122 4534 1645 2 3069 428 8.2 8.9 8.9 9.0 10.2 9.5 5.1 7.9 5.5 11,000 10,300 10,300 10,100 9,000 9,600 17,900 11,600 16,600 Earthquake numbers(No.) correspond to that of Tables 2 and 3, R, distance;t/, degree of zones overlap, ~, 3D rotationangle; AT, time intervalbetween events; V, plate velocity; AT, calculatedinterearthquaketime. distance between the centroids on the interearthquake time. To investigate the time and rotation distribution, we repeated our calculations for pairs of M --> 7.0 earthquakes separated by 50 km and then by 100 km. The former distance may be comparable to location errors, but that should not strongly influence the time statistics. Smith and E k s t r t m (1997) suggest that the combined relative error in locations of centroids and hypocenters is on the order of 25 kin. The total number of M --> 7.0 events is 227, and there are 29 and 119 earthquake pairs satisfying the conditions R -----50 and --< 100 km, respectively. For 15 doublets, the value of t/ exceeds ~ . Thus, focal areas of these events exhibit a strong overlap. The number of M ----- 7 pairs at the 100-kin distance suggests that the stronger earthquakes (M --> 7.5) are distrib- 1150 Y . Y . Kagan and D. D. Jackson Table 2 Earthquakes Mw -----7.5 in Pairs, Harvard Catalog T axis 1 2 3 4 5 6 7 Date Time 1978/03/23 1978/03/24 1980/07/08 1980/07/17 1983/03/18 1984/02/07 1985/09/19 3:15 19:47 23:19 19:42 9:05 21:33 13:17 1:37 9:17 4:38 13:39 5:18 5:11 10:27 12:02 8 1985/09/21 9 10 11 12 13 14 15 1987/03/05 1988/08/10 1990/04/18 1991/06/20 1995/07/30 1995/08/16 1997/04/21 Centroid Coordinates 44.12 44.20 - 12.92 - 12.44 -4.86 -9.81 17.91 17.57 - 24.38 - 10.49 1.31 1.04 - 24.17 -5.51 - 13.21 149.27 148.98 166.21 165.94 153.34 160.42 - 101.99 - 101.42 - 70.93 160.77 123.35 123.23 - 70.74 153.64 166.20 P axis H (kin) Mo Mw P1. Str. PI. Str. Geographic Region 28.3 30.7 43.6 34.0 69.9 21.9 21.3 20.8 41.9 16.2 33.2 15.0 28.7 45.6 51.2 269 228 197 484 463 252 1099 249 248 254 331 231 1215 462 439 7.62 7.57 7.53 7.79 7.78 7.60 8.03 7.60 7.60 7.60 7.68 7.58 8.06 7.78 7.76 56 63 81 74 68 51 62 62 66 61 66 52 67 86 57 312 309 320 49 150 130 9 33 73 35 135 185 90 259 131 34 27 4 14 0 20 28 28 23 28 17 38 23 3 15 132 131 75 253 59 247 199 209 270 235 0 8 267 48 245 Kuriles Kuriles S. Cruz Is S. Cruz Is N. Ireland Solomon Is Mexico Mexico Chile Solomon Is Borneo Borneo Chile N. Ireland Vanuatu Is Seismic moment M0 is measured in 10TM N-m; H, depth; PI., plunge of an axis; Str., its strike (azimuth). Table 3 Earthquakes Mw-->7.5 in Pairs, P D E a n d U S G S C a t a l o g s USGS 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Date Time 1978/03/23 1978/03/24 1980/07/08 1980/07/17 1983/03/18 1984/02/07 1985/09/19 1985/09/21 1987/03/05 1988/08/10 1990/04/18 1991/06/20 1995/07/30 1995/08/16 1997/04/21 3:15 19:47 23:19 19:42 9:05 21:33 13:17 1:37 9:17 4:38 13:39 5:18 5:11 10:27 12:02 Hypocenter Coordinates 44.93 44.24 - 12.41 - 12.52 -4.88 - 10.01 18.19 17.80 -24.39 - 10.37 1.19 1.20 - 23.34 -5.80 - 12.58 148.44 148.86 166.38 165.92 153.58 160.47 - 102.53 - 101.65 -70.16 160.82 122.86 122.79 - 70.29 154.18 166.68 PDE H (km) M0 M~ mb Ms Geographic Region 33 33 33 33 89 18 28 31 62 34 25 31 45 30 33 -----51 -240 240 64 140 160 1000 260 -- -----7.14 -7.59 7.59 7.20 7.43 7.47 8.00 7.61 -- 6.4 6.5 5.9 5.8 6.5 6.6 6.8 6.3 6.5 6.1 6.2 6.2 6.6 6.5 6.4 7.5 7.6 7.5 7.9 7.6 7.5 8.1 7.6 7.3 7.4 7.4 7.0 7.3 7.8 7.9 Kuriles Kuriles S. Cruz Is S. Cruz Is N. Ireland Solomon Is Mexico Mexico Chile Solomon Is Borneo Borneo Chile N. Ireland Vanuatu Is H, depth. u t e d in s p a c e similarly: the e x p e c t e d n u m b e r o f pairs, 119/ 10, is c l o s e to 9 as a c t u a l l y o b s e r v e d ( T a b l e 1) (cf. K a g a n , 1991a). T h e n u m b e r in t h e d e n o m i n a t o r is t h e s q u a r e o f t h e r a t i o o f the n u m b e r s M --> 7 v e r s u s M -> 7.5 e a r t h q u a k e s ; a s s u m i n g t h a t t h e b - v a l u e in the G u t e n b e r g - R i c h t e r l a w e q u a l s 1.0, w e o b t a i n t h e v a l u e o f 10. T h e r e are 9 5 0 pairs o f e a r t h q u a k e s M --- 6.5 w i t h R -< 100 k m , c o n f i r m i n g the p r e v i o u s c o n c l u s i o n . M a n y M --> 7.5 e v e n t s (15 o u t o f 70, i.e., a b o u t 2 2 % ) o c c u r i n d o u b l e t s or m u l t i p l e t s , a n d b e c a u s e all t h e s e p a i r s h a v e a s m a l l e r r e c u r r e n c e t i m e t h a n t h e l e n g t h o f the c a t a l o g ( T a b l e 1), w e s h o u l d e x p e c t t h e r e l a t i v e n u m b e r o f d o u b l e t s to i n c r e a s e w i t h time. I n d e e d , t h e n u m b e r o f e a r t h q u a k e s i n c r e a s e s l i n e a r l y w i t h time, w h e r e a s the n u m b e r o f pairs is p r o p o r t i o n a l to the s q u a r e o f the total n u m b e r o f events. F i g u r e 2 a d i s p l a y s t h e d e p e n d e n c e o f r o t a t i o n a n g l e (I) o n t h e t i m e i n t e r v a l f o r M ~ 7 a n d R --< 5 0 kin. M o s t o f t h e r o t a t i o n a n g l e s ((I)) are less t h a n 25 °, c o n f i r m i n g t h a t t h e e a r t h q u a k e s in the pairs h a v e s i m i l a r f o c a l m e c h a n i s m s . T h e r o t a t i o n a n g l e i n c r e a s e s w i t h t i m e ( K a g a n , 1992), a l t h o u g h the c o r r e l a t i o n c o e f f i c i e n t is small. F o r t i m e i n t e r v a l s c l o s e to zero, t h e a n g l e qb a p p r o a c h e s 10°; F r o h l i c h a n d D a v i s ( 1 9 9 9 ) s u g g e s t t h a t in the b e s t d e t e r m i n a t i o n s o f e a r t h q u a k e f o c a l m e c h a n i s m s , the a n g u l a r u n c e r t a i n t y is o f s u c h m a g nitude. It is o b v i o u s t h a t t h e M --> 7 d i s t r i b u t i o n is s t r o n g l y c o n c e n t r a t e d t o w a r d s m a l l t i m e intervals, w h i c h is c o m p a t i b l e w i t h a p o w e r l a w ( K a g a n a n d J a c k s o n , 1991); t h e n u m b e r o f p a i r s is 3, 3, 4, 8, a n d 11 for the i n t e r v a l s less t h a n 1 day, 1 to 10, 10 to 100, 100 to 1000, a n d > 1 0 0 0 days, Worldwide Doublets of Large Shallow Earthquakes 1151 (a) (b) 50 301 , , i i 45 ' 40 35 201" m ~J ,-'i///" .~[_~.." ; ,, / Cumulativedistribution Power-law( t - ° ' 7 5 ) / " O / O F 0 25 // " o 20 o 15 10Fi. I!I,' ,, ~/ o //' 10 o o 0 0 1000 5F 0 // p=0.34 o -10oo 0 2000 3000 5000 ' ~' 00 . . Time interval days Poissonlaw / 6000 . . 7000 8000 9000 -1000 °' 0 1o'0o 2000 ' 3000 ' ~' 00 5000 ' 6000 ' 7000 ' 8o'00 9000 Time interval days Figure 2. Distribution of Mw -->_7 earthquake pairs. (a) Dependence of the 3D rotation angle between focal mechanisms on the time interval between events. Solid line is the linear regression approximation. Correlation coefficient p is also shown. Pairs with smaller time intervals generally have more similar focal mechanisms, indicating that they are not fundamentally different from one another. (b) Cumulative number of pairs versus time separation for magnitude 7.0 and larger events within 50 km of each other. Poisson and power-law distributions are shown for comparison. The number of pairs with short interval times clearly exceeds the number expected for Poisson recurrence. A similar conclusion holds for magnitude 7.5 and greater events within 100 km, although the number of pairs is insufficient to draw statistical conclusions. respectively. In Figure 2b, the cumulative distribution of pair numbers (N) is shown. We approximate the distribution by two theoretical curves, the Poisson distribution [equation (1) in Kagan and Jackson, 1991] and a power-law density qb(dN) t -0"75. It is obvious that the Poisson law predicts a much smaller number of pairs for small time intervals than is observed. As we mentioned earlier, the quasi-periodic recurrence model in effect prohibits any subsequent earthquake to occur in the rupture area of another large event before sufficient strain accumulates through plate motion. The interval values (At) for M --> 7.5 earthquakes in Table 1 are also compatible with the power-law dependence. We investigate the spatial distribution of aftershocks for each earthquake in Tables 1 to 3. We define as aftershocks all the earthquakes mb >- 4.5 in the PDE catalog occurring within one day and 200 km of the centroid location. The number of aftershocks varies greatly from 67 for event 2 in Tables 2 and 3 to none for event 10, the average number being 23.9 _ 21.1. In Figure 3, we display aftershock patterns for one representative pair of earthquakes (pair 1 in Table 1), demonstrating the overlapping of epicentral regions. (The diagrams for other pairs are accessible in a PostScript form through WEB electronic supplement: tip:// minotaur.ess.ucla.edu/pub/kagan/pair#.ps, where # corresponds to the pair number in Table 1). In general, the aftershock areas overlap, suggesting that the rupture zones of both earthquakes in a doublet intersect significantly. Several earthquake pairs listed in Tables 1 to 3 have been studied by various researchers who displayed aftershock patterns and commented on possible overlap of focal regions. Tajima and Kanamori (1985, Figure A.13 and Figure A.57) show that aftershock areas of the 1980 Santa Cruz Islands doublet (pair 2 in Table 1) overlap: aftershocks of the first event are surrounded to a large degree by the aftershocks of the second earthquake. Tajima et al. (1990, p. 283f) confirm these findings and suggest that "the major energy of the 1980 main event was also released within the aftershock area of the foreshock." The authors refer to our event 4 in Tables 2 and 3 as the main event; their foreshock corresponds to event 3 in Tables 2 and 3. UNAM (1986) suggest that aflershock regions for the 1985 Mexico doublet (pair 7 in Table 1) are different, while Mendoza (1993, p. 8206 and Fig. 10) obtained coseismic slip maps for both events that partially overlap. There are also contradictory conclusions for the Chilean doublet (pair 8 in Table 1): Delouis et aI. (1997, p. 430) suggest that the 1987 shock is located in the SE part of the 1995 rupture region, whereas Ihml6 and Ruegg (1997, p. 156f) see little overlap in both focal regions. In contrast, Ihml6 and Ruegg (1997, Fig. 14) display aftershock patterns for the doublet that imply a significant overlap. Discussion An important question in seismology is whether large earthquakes differ fundamentally from small ones. With few 1152 Y.Y. Kagan and D. D. Jackson 45 o o o • qm o • o i0' o oo o • oo o o o . . . . . . . . . . . . . . . . . . . . . . . . . . .o. . . o. . . . . . . . o • o , o og,~ :o • o • ooO a • . = . . . . . . . ~ , .o. . ~ . l . . o. . . . . . . . . , ~ . . . . . . .c¢ .. oo ° I,r ~ i°o~ z.. • e ......................... o ;1) "O ,-s o ._A o o o o o o 43 148 Longitude (E) 150 Figure 3. Focal mechanisms (from the Harvard catalog) and epicenters (from the PDE catalog) of mainshocks and one day aftershocks for two large 1978 Kurile Islands earthquakes (the first pair in Table 1). Latitude limits are 43.0 to 45.0° N, longitude limits 148.0 to 150.0° E, and the magnitude thresholds are Mw => 5 and mb => 4.5. The beach balls for the first mainshock and its aftershocks have solid filling, for subsequent sequence, the filling is striped. Solid circles represent the first aftershock sequence, the open circles are for the second sequence. Mainshock PDE epicenters are shown by a circle with a cross (the first event) or a dot (the second event) inside. The size of a symbol is approximately proportional to magnitude. exceptions, small earthquakes appear to have fractal distributions in magnitude, time, and space. The implied clustering seems plausible because the events are not large enough to reduce the ambient stress field very much. Large earthquakes, in contrast, are often presumed to release most of the accumulated potential displacement, stress, and elastic energy, thus preventing similar earthquakes until displacement, stress, and energy recover. The classical seismic gap models (Fedotov, 1968; McCann et al., 1979; Nishenko, 1991) further assume that plate boundaries are divided into segments and that for each segment there is a typical earthquake (now called a characteristic earthquake [Schwartz and Coppersmith, 1984]) large enough to dominate the seismic moment release and so reduce the probability of large earthquakes within the segment. These assumptions allow the frequency of characteristic earthquakes to be deduced from the rate of interplate motion. An important question for seismic gap models is how to recognize large characteristic earthquakes. The size of the characteristic earthquake is assumed to vary from one segment to another, but for most segments, the characteristic magnitude is between 7 and 8. Nishenko and Sykes (1993) argue that on average, earthquakes above magnitude 7.5 are large enough to rupture the entire width of the plate boundary, so that they should generally have the properties of large characteristic earthquakes. In our study of earthquake pairs, we focused on earthquakes above this threshold. Our results show that since 1976, even earthquakes above magnitude 7.5 can have intersecting focal zones and appear to have fractal distributions in time and space. The magnitude distribution has no sudden change in slope near 7.5 (Kagan, 1997), and such earthquakes cluster in space and time as smaller events do (Kagan and Jackson, 1991). We found that 15 out of 70 very large events occurred in clusters with overlapping focal zones. Do the 55 counterexamples show that earthquake clusters are relatively unimportant? The clusters are important for two reasons. First, they should not occur at all under the seismic gap hypothesis, at least as it is commonly used in hazard studies. Even under the Poisson assumption, one would expect very few clusters given the total number of events and size of the Earth. Second, the power-law distributions revealed by the clusters have predictive power and important implications for earthquake physics. Kagan and Jackson (1991) and Kagan (1991a) show that both the time and space earthquake fractal dimensions are independent of magnitude for events up to magnitude M -7.5. This finding implies no space-time repulsion effect even for such large events; that is, all earthquakes are clustered. Inspection of aftershock maps (see, for example, Mendoza, 1993; Tanioka et al., 1996; Delouis et al., 1997) and special studies of aftershock distribution in comparison with coseismic displacement pattern (Mendoza and Hartzell, 1988; Gross and Btirgmann, 1998, and references therein) show that although the maxima of aftershock concentrations do not coincide with the zones of maximum slip, the latter zones are not immune to a large number of aftershocks occurring in the zone or nearby. Some earthquakes listed in Tables 1 to 3 would clearly qualify as members of a foreshock-mainshock-aftershock sequence, which would suggest that strong earthquakes could reoccur at a small time interval in essentially the same area. It is still possible that earthquakes become large enough to deter others at some greater threshold. Time will tell as future data include more pairs of even larger earthquakes and provide tighter bounds on the degree of rupture area overlap for doublet earthquakes. Note that one of our paired events had a magnitude of 8.0 and was followed within two days by a magnitude 7.6 earthquake. Although the second earthquake may be described as an aftershock, it shows that plenty of elastic energy remained after the first event. According to the classical gap models, characteristic earthquakes on a given segment should overlap completely (t/--> oo) with interval times (At) sufficient for recovery of the slip; characteristic earthquakes on different segments should have almost no overlap, and their interval times should be much more diverse. Thus for pairs of large events, Worldwide Doublets of Large Shallow Earthquakes the time difference should be directly correlated with the degree of overlap. But inspection of Table 1 indicates no obvious interdependence of t/ versus z = At~AT. Large earthquakes do not behave as assumed by the gap models. According to the classical seismic gap model, each plate boundary segment has a characteristic earthquake whose size can be inferred from the historical record for many segments. Several recent modifications of the seismic gap hypothesis offer a more complex view of the characteristic earthquake idea: large earthquakes may include combinations of characteristic events on multiple segments; plate boundaries may have multiple fault systems, each with its own characteristic earthquakes; or large events may leave some of the fault plane unruptured, leaving fuel for future earthquakes. We discuss each of these hypotheses in turn, showing that each variant sacrifices the predictive capability promised by the classical gap model. Thatcher (1990), Nomanbhoy and Ruff (1996), and Grant (1996) pointed out that in many historic and instrumental catalogs, rupture areas of large events on a given fault segment may vary considerably. A modified recurrence hypothesis assumes that focal areas of subsequent earthquakes may only partially overlap but would still require tectonic motion to make up for moment release. There are two problems with this model, however. First, it conflicts with our data, which show that sometimes virtually no tectonic motion occurs before a new rupture. For all pairs listed in Table 1, the z value is less than 1.0, and the distribution of interearthquake time is closer to a power law than to the quasiperiodic function that a cyclic model would imply. Second, the number of characteristic earthquakes describing plate boundary motion increases from that in the classical seismic gap models, and precise slip patterns of past earthquakes must be known to calculate their recurrence times. Presently available data are insufficient for this purpose so the model has little predictive power. Some would argue that the occurrence of large doublet earthquakes does not invalidate the seismic gap model if the events occur on separate faults. In most cases, we cannot determine whether paired earthquakes rupture the same fault surface. However, the doublets still pose a major problem for gap models even under the separate fault scenario. First, from a physical point of view, an earthquake on one fault should reduce the shear stress on a parallel fault, delaying the next earthquake there. Because the later events can follow the earlier ones so quickly, it is hard to argue that the stress would have recovered by normal tectonic processes. Second, if the separate fault model holds, then characteristic earthquakes would have to be defined for each fault segment rather than for each plate boundary segment. Even seismic data available now are inadequate to resolve these fault planes adequately, and we have no basis on which to "set the clock" for future earthquakes on most plate boundaries. Finally, from a hazards perspective, the occurrence of a large earthquake does not preclude nearly immediate recurrence 1153 of damage in the same area, regardless of how we try to modify the seismic gap model. Some have suggested (Mendoza, 1993; Tanioka et al., 1996; Delouis et al., 1997; Ihml6 and Ruegg, 1997; Tanioka and Gonzales, 1998; Schwartz, 1999) that displacement on the fault plane may be quite inhomogeneous in large earthquakes, so that localized patches of large displacement may intermingle with nearly unbroken patches. Later earthquakes may then fill in some gaps in the rupture pattern left by their predecessors. We refer to this idea as the checkerboard hypothesis. In this hypothesis, the earlier and later earthquakes may have similar average displacements and stress increments when averaged over the common rupture surface, but on a more local scale, they would differ from one another strongly. It is difficult to test the checkerboard hypothesis because the inversion of seismic data to determine the displacement patterns on a fault produces nonunique results. One cause of the nonuniqueness is the limited frequency content of seismic data. Another problem is that the inhomogeneity of the estimated displacement pattern depends arbitrarily on the trade-off between resolution and variance (Menke, 1989, p. 76). For the latter reason, displacement patterns determined by different investigators cannot be safely compared because scientists may have chosen quite different points on the trade-off curve. Even if many large pairs can be explained by the checkerboard model, the observation of strong clustering requires complete revision of the seismic gap model. First, in the checkerboard model, there is no unique characteristic earthquake that ruptures an entire segment and starts the clock. There would be many modes of rupture, each with its own clock, for each segment. The seismic gap model has been formulated and tested using earthquakes that occurred before modern global networks were in place (Fedotov, 1968; McCann et al., 1979; Nishenko, 1991). If the checkerboard model applies, then it is impossible with available data to identify the mode of past earthquakes. Second, the checkerboard model would make the seismic gap model irrelevant for purposes of estimating seismic hazard, since damage from large events depends more on the rupture dimensions and average slip than on the local displacement pattern. Our estimate of the degree of overlap ~1 in earthquake pairs is surely oversimplified. It is derived simply from a point representation of the moment centroids and a simple scalar estimate of the length of ruptures derived from empirical correlations. However, this simple measure has one great advantage: it can be uniformly applied to all event pairs without introducing biases inherent in case studies of selected earthquake pairs using different data types for different events. Moreover, our results are not strongly dependent on our definition of t7. Maps of aftershock zones (e.g., Fig. 3) and independent studies of the rupture patterns of many earthquakes in this study (Mendoza, 1993; Tanioka et al., 1996; Delouis et al., 1997; Ihml6 and Ruegg, 1997; Tanioka and Gonzalez, 1998; Schwartz, 1999) all indicate that for the 1154 Y . Y . Kagan and D. D. Jackson paired events the focal volumes, and probably the rupture surfaces, overlap significantly. Conclusions Large earthquakes, like small events, cluster in time and space, implying that the probability of a new significant moment release in the same general area increases, not decreases, after a strong earthquake. Observed large earthquake pairs conflict with the basic tenets of the seismic gap models of earthquake recurrence. Adapting the seismic gap model to fit these observations would require a radical redefinition of characteristic earthquakes and would yield a model with virtually no predictive power. Acknowledgments We appreciate partial support from the Southern California Earthquake Center (SCEC). SCEC is funded by NSF Cooperative Agreement EAR8920136 and USGS Cooperative Agreements 14-08-0001-A0899 and 1434HQ-97AG01718. We thank M. Wyss of University of Alaska, R. Madariaga of Ecole Normale Suprrieure, W. Ellsworth of USGS (Menlo Park), H. Houston of UCLA, and R. Geller of Tokyo University for their useful comments, and S. 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