California · Parkfield, California
parkfield 2004
- mainshock
- M6.0 mw · nc30228270
- origin (UTC)
- 2004-09-28 17:15:24
- epicentre
- 35.818°, -120.366° depth 8.1 km
- catalog
- USGS ComCat network nc
- zone radius
- 53.2 km Gardner–Knopoff window
- completeness Mc
- 1.2 protocol v3, max over time bins
- aftershocks ≥ Mc
- 2,666 largest M5.0
- 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 = 0.70)
- Omori fitted on first 30 d (p = 0.79)
- Omori fitted on first 120 d (p = 0.66)
Table view
| days since mainshock | observed rate | Omori fitted on first 3 d (p = 0.70) | Omori fitted on first 30 d (p = 0.79) | Omori fitted on first 120 d (p = 0.66) |
|---|---|---|---|---|
| 0.5 | — | 234.92 | 251.32 | 195.81 |
| 0.56 | 263.66 | — | — | — |
| 0.59 | — | 208.75 | 219.79 | 175.09 |
| 0.7 | — | 185.48 | 192.22 | 156.56 |
| 0.71 | 214.29 | — | — | — |
| 0.83 | — | 164.82 | 168.11 | 139.99 |
| 0.9 | 145.82 | — | — | — |
| 0.98 | — | 146.45 | 147.02 | 125.18 |
| 1.14 | 104.07 | — | — | — |
| 1.16 | — | 130.13 | 128.58 | 111.93 |
| 1.38 | — | 115.63 | 112.45 | 100.08 |
| 1.44 | 88.11 | — | — | — |
| 1.63 | — | 102.75 | 98.35 | 89.49 |
| 1.83 | 67.31 | — | — | — |
| 1.93 | — | 91.3 | 86.01 | 80.02 |
| 2.29 | — | 81.12 | 75.22 | 71.55 |
| 2.31 | 95.37 | — | — | — |
| 2.71 | — | 72.09 | 65.78 | 63.98 |
| 2.92 | 94.2 | — | — | — |
| 3.21 | — | 64.05 | 57.53 | 57.21 |
| 3.7 | 42.37 | — | — | — |
| 3.8 | — | 56.92 | 50.32 | 51.16 |
| 4.5 | — | 50.57 | 44 | 45.74 |
| 4.68 | 34.39 | — | — | — |
| 5.33 | — | 44.94 | 38.48 | 40.9 |
| 5.93 | 35.04 | — | — | — |
| 6.31 | — | 39.93 | 33.66 | 36.57 |
| 7.48 | — | 35.48 | 29.43 | 32.7 |
| 7.5 | 23.17 | — | — | — |
| 8.85 | — | 31.53 | 25.74 | 29.24 |
| 9.49 | 27.24 | — | — | — |
| 10.48 | — | 28.01 | 22.51 | 26.15 |
| 12.01 | 20.11 | — | — | — |
| 12.41 | — | 24.89 | 19.69 | 23.38 |
| 14.7 | — | 22.12 | 17.22 | 20.91 |
| 15.2 | 20.07 | — | — | — |
| 17.41 | — | 19.65 | 15.06 | 18.69 |
| 19.23 | 14.1 | — | — | — |
| 20.61 | — | 17.46 | 13.17 | 16.72 |
| 24.34 | 10.27 | — | — | — |
| 24.41 | — | 15.52 | 11.52 | 14.95 |
| 28.91 | — | 13.79 | 10.07 | 13.37 |
| 30.8 | 8.67 | — | — | — |
| 34.23 | — | 12.25 | 8.81 | 11.95 |
| 38.98 | 13.26 | — | — | — |
| 40.54 | — | 10.89 | 7.7 | 10.69 |
| 48 | — | 9.67 | 6.74 | 9.56 |
| 49.33 | 10.22 | — | — | — |
| 56.84 | — | 8.6 | 5.89 | 8.54 |
| 62.42 | 9.37 | — | — | — |
| 67.31 | — | 7.64 | 5.15 | 7.64 |
| 78.99 | 8.37 | — | — | — |
| 79.71 | — | 6.79 | 4.51 | 6.83 |
| 94.39 | — | 6.03 | 3.94 | 6.11 |
| 99.97 | 5.68 | — | — | — |
| 111.78 | — | 5.36 | 3.45 | 5.46 |
| 126.5 | 6.33 | — | — | — |
| 132.37 | — | 4.76 | 3.01 | 4.88 |
| 156.75 | — | 4.23 | 2.64 | 4.37 |
| 160.1 | 4.79 | — | — | — |
| 185.62 | — | 3.76 | 2.31 | 3.91 |
| 202.6 | 3.66 | — | — | — |
| 219.8 | — | 3.34 | 2.02 | 3.49 |
| 256.4 | 5.06 | — | — | — |
| 260.29 | — | 2.97 | 1.76 | 3.12 |
| 308.23 | — | 2.64 | 1.54 | 2.79 |
| 324.5 | 3.9 | — | — | — |
| 365 | — | 2.34 | 1.35 | 2.5 |
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 | 365 | 241.3 (216–267) | 181.24 (101–280) | 308.98 (280–338) |
| 2 | 302 | 137.07 (118–157) | 99.4 (51–160) | 146.89 (127–167) |
| 3 | 232 | 292.4 (265–321) | 383.11 (271–511) | 262.84 (236–290) |
| 5 | 188 | 193.11 (171–216) | 159.18 (92–241) | 178.8 (157–201) |
| 7 | 160 | 152.62 (133–173) | 135.45 (74–211) | 171.76 (150–194) |
| 10 | 149 | 120.96 (103–139) | 124.04 (68–193) | 131.87 (113–151) |
| 14 | 118 | 102.79 (86–120) | 104.77 (59–161) | 92.82 (77–109) |
| 21 | 73 | 83.36 (69–99) | 88.02 (50–135) | 87.01 (72–103) |
| 30 | 67 | 62.9 (50–76) | 69.63 (24–134) | 74.58 (61–89) |
| 45 | 76 | 54.65 (43–67) | 57.98 (26–100) | 53.46 (42–66) |
| 60 | 64 | 51.45 (40–64) | 71.63 (41–108) | 46.93 (36–58) |
| 90 | 41 | 43.26 (33–54) | 53.98 (29–84) | 37.15 (27–47) |
| 120 | 42 | 35.8 (26–46) | 46.46 (24–73) | 38.73 (29–49) |
| 180 | 20 | 29.64 (21–39) | 41.92 (14–80) | 32.64 (24–42) |
| 240 | 56 | 24.84 (17–33) | 38.3 (19–62) | 24.57 (17–33) |
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 | 718 | 360.39 (329–392) | 221.76 (128–335) | 441.63 (407–476) |
| 2 | 642 | 217.87 (194–242) | 139.84 (82–210) | 231.11 (206–256) |
| 3 | 553 | 708.4 (665–752) | 1,171.85 (826–1,567) | 614.21 (574–655) |
| 5 | 477 | 479.83 (444–516) | 356.75 (221–518) | 444.28 (410–479) |
| 7 | 440 | 400.52 (368–434) | 348.26 (217–504) | 452.55 (418–488) |
| 10 | 406 | 340.59 (311–371) | 372.44 (231–540) | 371.3 (340–403) |
| 14 | 372 | 312.58 (284–342) | 331.72 (209–477) | 282.27 (255–310) |
| 21 | 337 | 275.04 (248–303) | 305.18 (176–462) | 287.1 (260–315) |
| 30 | 335 | 218.73 (195–243) | 246.58 (129–394) | 259.37 (233–286) |
| 45 | 282 | 202.68 (180–226) | 223.72 (126–343) | 198.27 (175–222) |
| 60 | 245 | 198.01 (175–221) | 274.28 (185–377) | 180.6 (159–203) |
| 90 | 169 | 172.34 (151–194) | 240.43 (155–340) | 148.01 (128–168) |
| 120 | 174 | 144.96 (125–165) | 221.88 (139–320) | 156.82 (137–178) |
| 180 | 90 | 122.31 (104–141) | 185.4 (96–298) | 134.69 (116–154) |
| 240 | 162 | 103.43 (87–120) | 179.2 (113–257) | 102.29 (86–119) |
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 47% · 45 windows
Omori–Utsu + NB spread
90% coverage 78% · 45 windows
ETAS (fixed μ, subcritical)
90% coverage 82% · 45 windows
GBM-hybrid · within
90% coverage 43% · 30 windows
GBM-hybrid · cross/pooled
90% coverage 47% · 45 windows
where
Forecast density at day 30 for the next 7 days on the 2 km benchmark grid; dots are the 67 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 | 100 | 1.16 | 0.000 | 4.65 | 2.37 | 0.07 | — | 0.10 | 0.11 |
| 2 | 183 | 1.26 | 0.000 | 4.98 | 2.22 | 0.03 | — | 34.15 | 0.02 |
| 3 | 279 | 0.70 | 0.000 | 0.61 | 1.32 | 0.99 | — | 77.07 | 0.05 |
| 5 | 373 | 0.80 | 0.000 | 0.00 | 1.92 | 0.82 | alpha | 14.98 | 0.68 |
| 7 | 437 | 0.82 | 0.000 | 0.18 | 1.78 | 0.83 | — | 6.66 | 0.74 |
| 10 | 511 | 0.83 | 0.000 | 0.18 | 1.61 | 0.85 | — | 5.75 | 0.75 |
| 14 | 597 | 0.81 | 0.000 | 0.18 | 1.67 | 0.84 | — | 5.98 | 0.71 |
| 21 | 715 | 0.78 | 0.000 | 4.28 | 0.80 | 0.13 | — | 5.87 | 0.12 |
| 30 | 810 | 0.79 | 0.000 | 4.19 | 0.81 | 0.15 | — | 0.83 | 0.15 |
| 45 | 981 | 0.74 | 0.000 | 4.38 | 0.76 | 0.13 | — | 6.54 | 0.12 |
| 60 | 1,145 | 0.69 | 0.000 | 0.17 | 1.52 | 0.86 | — | 8.06 | 0.11 |
| 90 | 1,390 | 0.66 | 0.000 | 0.53 | 1.40 | 0.88 | — | 6.32 | 0.10 |
| 120 | 1,559 | 0.66 | 0.000 | 1.13 | 1.15 | 0.91 | — | 4.11 | 0.09 |
| 180 | 1,885 | 0.64 | 0.000 | 1.79 | 0.82 | 0.79 | — | 2.92 | 0.29 |
| 240 | 2,121 | 0.64 | 0.000 | 0.83 | 1.24 | 0.87 | — | 0.00 | 0.99 |
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 | 186 | 1.00 | 0.13 | gft90 |
| 1.14 | 2.6 | 191 | 1.10 | 0.12 | gft90 |
| 2.60 | 5.9 | 246 | 1.00 | 0.17 | gft90 |
| 5.93 | 13.5 | 329 | 1.00 | 0.37 | gft95 |
| 13.51 | 30.8 | 344 | 1.10 | 0.24 | gft90 |
| 30.80 | 70.2 | 683 | 1.20 | 0.12 | gft95 |
| 70.22 | 160.1 | 877 | 1.20 | 0.20 | gft95 |
| 160.09 | 365.0 | 1,229 | 1.10 | 0.18 | gft90 |