California · Santa Cruz Mountains, California
loma prieta 1989
- mainshock
- M6.9 mw · nc216859
- origin (UTC)
- 1989-10-18 00:04:15
- epicentre
- 37.036°, -121.880° depth 17.2 km
- catalog
- USGS ComCat network nc
- zone radius
- 68.7 km Gardner–Knopoff window
- completeness Mc
- 1.3 protocol v3, max over time bins
- aftershocks ≥ Mc
- 4,140 largest M5.4
- window
- 0.5–365 daysfull year
rate decay
Observed rate in log-spaced bins against Omori–Utsu fits made with the first 3, 30 and 120 days only, drawn across the whole window. Where a curve leaves the dots, the early fit extrapolated badly.
- observed rate
- Omori fitted on first 3 d (p = 1.49)
- Omori fitted on first 30 d (p = 1.04)
- Omori fitted on first 120 d (p = 0.93)
Table view
| days since mainshock | observed rate | Omori fitted on first 3 d (p = 1.49) | Omori fitted on first 30 d (p = 1.04) | Omori fitted on first 120 d (p = 0.93) |
|---|---|---|---|---|
| 0.5 | — | 612.64 | 657.45 | 729.81 |
| 0.56 | 693.04 | — | — | — |
| 0.59 | — | 569.88 | 596.4 | 639.8 |
| 0.7 | — | 525.35 | 537.1 | 559 |
| 0.71 | 464.3 | — | — | — |
| 0.83 | — | 479.69 | 480.31 | 486.95 |
| 0.9 | 385.71 | — | — | — |
| 0.98 | — | 433.64 | 426.65 | 423.08 |
| 1.14 | 356.82 | — | — | — |
| 1.16 | — | 387.97 | 376.6 | 366.74 |
| 1.38 | — | 343.46 | 330.46 | 317.27 |
| 1.44 | 420.01 | — | — | — |
| 1.63 | — | 300.85 | 288.41 | 274 |
| 1.83 | 252.98 | — | — | — |
| 1.93 | — | 260.77 | 250.46 | 236.27 |
| 2.29 | — | 223.71 | 216.54 | 203.48 |
| 2.31 | 221.91 | — | — | — |
| 2.71 | — | 190.03 | 186.46 | 175.05 |
| 2.92 | 168.11 | — | — | — |
| 3.21 | — | 159.91 | 159.99 | 150.44 |
| 3.7 | 144.29 | — | — | — |
| 3.8 | — | 133.38 | 136.84 | 129.19 |
| 4.5 | — | 110.33 | 116.73 | 110.87 |
| 4.68 | 105.88 | — | — | — |
| 5.33 | — | 90.59 | 99.33 | 95.09 |
| 5.93 | 78.66 | — | — | — |
| 6.31 | — | 73.87 | 84.35 | 81.51 |
| 7.48 | — | 59.87 | 71.5 | 69.84 |
| 7.5 | 72.33 | — | — | — |
| 8.85 | — | 48.25 | 60.51 | 59.83 |
| 9.49 | 49.56 | — | — | — |
| 10.48 | — | 38.7 | 51.14 | 51.23 |
| 12.01 | 50.1 | — | — | — |
| 12.41 | — | 30.91 | 43.18 | 43.86 |
| 14.7 | — | 24.59 | 36.42 | 37.54 |
| 15.2 | 39.87 | — | — | — |
| 17.41 | — | 19.5 | 30.69 | 32.12 |
| 19.23 | 26.22 | — | — | — |
| 20.61 | — | 15.42 | 25.84 | 27.48 |
| 24.34 | 20.54 | — | — | — |
| 24.41 | — | 12.16 | 21.75 | 23.51 |
| 28.91 | — | 9.58 | 18.29 | 20.11 |
| 30.8 | 15.96 | — | — | — |
| 34.23 | — | 7.52 | 15.38 | 17.2 |
| 38.98 | 10.22 | — | — | — |
| 40.54 | — | 5.9 | 12.93 | 14.71 |
| 48 | — | 4.62 | 10.86 | 12.58 |
| 49.33 | 10.82 | — | — | — |
| 56.84 | — | 3.62 | 9.12 | 10.76 |
| 62.42 | 9.91 | — | — | — |
| 67.31 | — | 2.83 | 7.66 | 9.2 |
| 78.99 | 9.06 | — | — | — |
| 79.71 | — | 2.21 | 6.43 | 7.87 |
| 94.39 | — | 1.73 | 5.4 | 6.73 |
| 99.97 | 7.67 | — | — | — |
| 111.78 | — | 1.35 | 4.53 | 5.75 |
| 126.5 | 5.49 | — | — | — |
| 132.37 | — | 1.05 | 3.8 | 4.92 |
| 156.75 | — | 0.82 | 3.19 | 4.2 |
| 160.1 | 5.32 | — | — | — |
| 185.62 | — | 0.64 | 2.68 | 3.59 |
| 202.6 | 7.01 | — | — | — |
| 219.8 | — | 0.5 | 2.25 | 3.07 |
| 256.4 | 4.13 | — | — | — |
| 260.29 | — | 0.39 | 1.89 | 2.63 |
| 308.23 | — | 0.3 | 1.58 | 2.25 |
| 324.5 | 5.31 | — | — | — |
| 365 | — | 0.23 | 1.33 | 1.92 |
7-day forecasts
Each point is a forecast issued at that origin for the next 7 days, with its 90% predictive interval, against the count that followed.
- observed
- Omori–Utsu
- ETAS (fixed μ, subcritical)
- GBM-hybrid · cross/pooled
Table view
| forecast origin (days) | observed | Omori–Utsu | ETAS (fixed μ, subcritical) | GBM-hybrid · cross/pooled |
|---|---|---|---|---|
| 1 | 1,048 | 606.49 (566–647) | 716.13 (219–1,445) | 836.37 (789–884) |
| 2 | 777 | 1,056.74 (1,004–1,110) | 1,424.19 (252–3,380) | 1,908.84 (1,837–1,981) |
| 3 | 607 | 571.56 (533–611) | 960.46 (359–1,796) | 720.63 (677–765) |
| 5 | 443 | 408.02 (375–442) | 665.96 (237–1,271) | 464 (429–500) |
| 7 | 377 | 306.21 (278–335) | 505.26 (185–953) | 349.6 (319–381) |
| 10 | 311 | 242.63 (217–269) | 383.13 (97–823) | 277.01 (250–305) |
| 14 | 223 | 214.48 (191–239) | 303.03 (58–705) | 245.88 (220–272) |
| 21 | 146 | 154.04 (134–175) | 235.39 (24–629) | 162.79 (142–184) |
| 30 | 93 | 110.5 (94–128) | 169.19 (14–469) | 124.69 (107–143) |
| 45 | 66 | 70.77 (57–85) | 124.5 (14–326) | 82.7 (68–98) |
| 60 | 88 | 52.77 (41–65) | 90.07 (1–315) | 60.64 (48–74) |
| 90 | 48 | 42 (32–53) | 74.66 (1–260) | 43.96 (33–55) |
| 120 | 41 | 36.71 (27–47) | 62.92 (1–212) | 34.49 (25–44) |
| 180 | 146 | 27 (19–36) | 52.32 (0.5–191) | 35.44 (26–45) |
| 240 | 41 | 24.72 (17–33) | 52.12 (0.5–290) | 30.73 (22–40) |
30-day forecasts
Each point is a forecast issued at that origin for the next 30 days, with its 90% predictive interval, against the count that followed.
- observed
- Omori–Utsu
- ETAS (fixed μ, subcritical)
- GBM-hybrid · cross/pooled
Table view
| forecast origin (days) | observed | Omori–Utsu | ETAS (fixed μ, subcritical) | GBM-hybrid · cross/pooled |
|---|---|---|---|---|
| 1 | 1,766 | 909.54 (860–959) | 1,156.2 (329–2,390) | 935.98 (886–987) |
| 2 | 1,446 | 2,507.45 (2,425–2,590) | 4,358.7 (435–11.717k) | 5,115.34 (4,998–5,233) |
| 3 | 1,248 | 971.45 (920–1,023) | 2,861.72 (999–5,500) | 1,221.84 (1,165–1,280) |
| 5 | 1,022 | 803.39 (757–850) | 2,022.38 (685–3,931) | 940.74 (891–991) |
| 7 | 880 | 649.76 (608–692) | 1,566.46 (575–2,952) | 757.93 (713–803) |
| 10 | 722 | 585.43 (546–626) | 1,269.38 (306–2,766) | 684.77 (642–728) |
| 14 | 569 | 599.96 (560–641) | 1,085.27 (241–2,423) | 718.2 (674–763) |
| 21 | 431 | 472.4 (437–508) | 824.78 (199–1,798) | 499.24 (463–536) |
| 30 | 326 | 362.69 (332–394) | 617.13 (130–1,398) | 409.26 (376–443) |
| 45 | 299 | 246.98 (221–273) | 501.88 (94–1,173) | 288.61 (261–317) |
| 60 | 277 | 191.86 (169–215) | 376.91 (25–1,084) | 220.47 (196–245) |
| 90 | 238 | 161.54 (141–183) | 334.47 (39–869) | 169.1 (148–191) |
| 120 | 138 | 145.35 (126–165) | 353.44 (0.5–1,474) | 136.59 (118–156) |
| 180 | 253 | 109.7 (93–127) | 278.23 (0.5–1,141) | 144 (125–164) |
| 240 | 134 | 101.92 (86–119) | 249.42 (0.5–1,059) | 126.68 (108–145) |
information gain
Per-event log-score difference from the Omori–Utsu law. Above zero: the model assigned more probability to what actually happened.
every window, classical models
windows where learned models forecast too
calibration
Randomised probability integral transform over all windows. Flat at 1 is calibrated; a U means intervals too narrow, a hump means too wide.
Omori–Utsu
90% coverage 42% · 45 windows
Omori–Utsu + NB spread
90% coverage 73% · 45 windows
ETAS (fixed μ, subcritical)
90% coverage 100% · 45 windows
GBM-hybrid · within
90% coverage 57% · 30 windows
GBM-hybrid · cross/pooled
90% coverage 49% · 45 windows
where
Forecast density at day 30 for the next 7 days on the 2 km benchmark grid; dots are the 93 epicentres that followed.
KDE (adaptive)
ETAS kernel
Cell GBM
fitted parameters
Refitted at every origin on data up to that origin. A parameter on its search bound is flagged (Omori with an asterisk, ETAS by name): early in a sequence the catalog is still incomplete, the rate looks flat, and neither likelihood identifies its decay parameters — the optimum sits on a bound.
| origin (d) | events | Omori p | Omori c (d) | ETAS α | ETAS p | ETAS n₃₆₅ | on bound | free ETAS μ/day | free n₃₆₅ |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 249 | 1.15 | 0.000 | 4.31 | 1.19 | 0.20 | — | 0.05 | 0.19 |
| 2 | 583 | 0.65 | 0.000 | 1.52 | 1.35 | 0.99 | — | 0.50 | 1.28 |
| 3 | 792 | 1.49 | 1.348 | 1.69 | 1.08 | 0.99 | — | 101.30 | 0.55 |
| 5 | 1,050 | 1.35 | 1.078 | 1.78 | 1.00 | 0.87 | — | 0.00 | 0.90 |
| 7 | 1,215 | 1.37 | 1.111 | 1.82 | 1.00 | 0.78 | — | 0.00 | 0.80 |
| 10 | 1,399 | 1.25 | 0.892 | 2.02 | 0.99 | 0.66 | — | 0.00 | 0.69 |
| 14 | 1,592 | 1.05 | 0.444 | 2.00 | 0.97 | 0.65 | — | 0.48 | 0.68 |
| 21 | 1,815 | 1.03 | 0.422 | 2.04 | 1.00 | 0.59 | — | 0.00 | 0.63 |
| 30 | 2,002 | 1.04 | 0.437 | 2.03 | 1.01 | 0.57 | — | 0.00 | 0.61 |
| 45 | 2,190 | 1.08 | 0.534 | 1.88 | 1.08 | 0.63 | — | 0.00 | 0.67 |
| 60 | 2,328 | 1.08 | 0.542 | 1.98 | 1.07 | 0.56 | — | 0.00 | 0.60 |
| 90 | 2,605 | 0.99 | 0.273 | 1.97 | 1.07 | 0.59 | — | 0.37 | 0.67 |
| 120 | 2,843 | 0.93 | 0.104 | 1.99 | 1.07 | 0.65 | — | 0.94 | 0.74 |
| 180 | 3,148 | 0.90 | 0.040 | 2.04 | 1.08 | 0.66 | — | 0.99 | 0.76 |
| 240 | 3,525 | 0.86 | 0.000 | 2.42 | 1.04 | 0.54 | — | 0.75 | 0.64 |
completeness
Mc per log-spaced time bin (bootstrap median of 200 resamples). The sequence Mc is the largest bin value.
| from (d) | to (d) | events, all M | Mc | bootstrap sd | estimator |
|---|---|---|---|---|---|
| 0.50 | 1.1 | 398 | 1.30 | 0.20 | gft90 |
| 1.14 | 2.6 | 680 | 1.00 | 0.21 | gft95 |
| 2.60 | 5.9 | 728 | 1.20 | 0.17 | gft95 |
| 5.93 | 13.5 | 805 | 1.20 | 0.12 | gft95 |
| 13.51 | 30.8 | 795 | 1.20 | 0.11 | gft95 |
| 30.80 | 70.2 | 751 | 1.20 | 0.15 | gft95 |
| 70.22 | 160.1 | 1,004 | 1.20 | 0.14 | gft95 |
| 160.09 | 365.0 | 1,774 | 1.20 | 0.23 | gft95 |