California · San Francisco Bay Area, California

south napa 2014

mainshock
M6.0 mw · nc72282711
origin (UTC)
2014-08-24 10:20:44
epicentre
38.215°, -122.312° depth 11.1 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
607 largest M4.1
window
0.5365 daysfull year

Map this sequence · Open the catalog

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 = 5.00)
  • Omori fitted on first 30 d (p = 0.79)
  • Omori fitted on first 120 d (p = 0.63)
0.11101000.11101001,000days since mainshockevents ≥ M1.2 per day
Table view
days since mainshockobserved rateOmori fitted on first 3 d (p = 5.00)Omori fitted on first 30 d (p = 0.79)Omori fitted on first 120 d (p = 0.63)
0.527.0432.0335.51
0.5622.6
0.5926.5730.3132.45
0.726.0228.5229.58
0.7129.76
0.8325.3826.6926.92
0.923.52
0.9824.6624.8424.45
1.1411.15
1.1623.8322.9922.17
1.3822.8921.1620.08
1.4435.25
1.6321.8419.3818.17
1.8311.6
1.9320.6717.6616.42
2.2919.3716.0114.82
2.3127.51
2.7117.9714.4613.37
2.9213.04
3.2116.4513.0112.06
3.710.31
3.814.8611.6610.87
4.513.210.429.79
4.688.14
5.3311.519.298.81
5.937.87
6.319.848.267.93
7.488.227.327.14
7.511.87
8.856.76.486.42
9.492.23
10.485.315.735.78
12.015.65
12.414.095.065.19
14.73.054.464.67
15.24.46
17.412.23.924.2
19.233.08
20.611.533.453.78
24.342.96
24.411.033.033.39
28.910.672.673.05
30.83.3
34.230.422.342.74
38.981.96
40.540.252.052.46
480.151.82.21
49.331.46
56.840.0841.581.99
62.423.05
67.310.0461.381.79
78.991.29
79.710.0251.211.61
94.390.0131.061.44
99.971.4
111.780.00650.931.3
126.51.31
132.370.00320.821.17
156.750.00160.711.05
160.10.98
185.620.000760.620.94
202.60.82
219.80.000360.550.85
256.41.32
260.290.000170.480.76
308.230.0000770.420.68
324.50.99
3650.0000350.370.61

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
1101001,0001101001,000forecast origin (days)events in next 7 days
Table view
forecast origin (days)observedOmori–UtsuETAS (fixed μ, subcritical)GBM-hybrid · cross/pooled
19044.66 (34–56)179.73 (158–202)
27576.03 (62–91)109.63 (90–130)155.76 (136–177)
35671.05 (57–85)88.93 (4–271)95.31 (80–112)
54727.42 (19–36)66.42 (3–198)45.86 (35–57)
73544.52 (34–56)57.92 (12–131)54.09 (42–66)
103418.35 (12–26)47.47 (8–111)18 (11–25)
142918.52 (12–26)34.63 (10–70)24.52 (17–33)
211818.71 (12–26)26.77 (7–55)35.95 (26–46)
302016.7 (10–24)21.61 (9–37)26.38 (18–35)
451212.75 (7–19)18.15 (8–31)14.25 (8–21)
60279.85 (5–15)15.86 (2–39)12.6 (7–19)
90159.64 (5–15)14.88 (5–29)10.63 (6–16)
12088.52 (4–14)13.57 (2–33)8.34 (4–13)
18066.58 (3–11)11.35 (1–31)7.05 (3–12)
24065.34 (2–9)9.79 (1–25)6.14 (2–10)

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
1020501002005001,0001101001,000forecast origin (days)events in next 30 days
Table view
forecast origin (days)observedOmori–UtsuETAS (fixed μ, subcritical)GBM-hybrid · cross/pooled
117349.3 (38–61)213.47 (190–238)
2154118.4 (101–137)378.56 (324–435)285.38 (258–313)
3134114.6 (97–132)279.13 (32–727)162.17 (142–183)
512637.73 (28–48)209.08 (32–512)65.64 (53–79)
7112120.81 (103–139)207.51 (55–439)153.54 (133–174)
109930.7 (22–40)191.33 (45–420)31.51 (23–41)
149046.05 (35–57)137.44 (51–256)60.39 (48–73)
217159.24 (47–72)102.97 (54–165)114.65 (97–133)
305758.33 (46–71)90.69 (51–139)92.87 (77–109)
456447.03 (36–59)77.26 (40–124)53.46 (42–66)
606137.29 (28–48)71.79 (27–134)48.52 (37–60)
904538.4 (29–49)67.99 (30–117)42.37 (32–53)
1203534.6 (25–45)65.98 (15–144)34.42 (25–44)
1803027.14 (19–36)52.42 (15–108)29.11 (21–38)
2404022.23 (15–30)45.96 (11–98)25.54 (18–34)

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

modelestimate [95% interval]
ETAS (free)+0.074 [+0.006, +0.151]
ETAS (fixed μ, subcritical)+0.061 [−0.015, +0.160]
Omori–Utsu + NB spread+0.041 [−0.002, +0.111]
42 windows · 1,568 events · moving-block bootstrap. Naive references (constant rate, persistence, uniform density) score far lower and are left out of the plot; they appear in the tables.

windows where learned models forecast too

modelestimate [95% interval]
Poisson GLM · cross/chrono + NB+0.100 [−0.001, +0.171]
Poisson GLM · cross/chrono+0.098 [−0.004, +0.172]
GBM-hybrid · cross/other_region + NB+0.095 [−0.012, +0.164]
Poisson GLM · cross/pooled + NB+0.094 [−0.008, +0.165]
Poisson GLM · cross/pooled+0.093 [−0.011, +0.167]
GBM-hybrid · cross/chrono + NB+0.091 [−0.011, +0.158]
ETAS (fixed μ, subcritical)+0.091 [−0.018, +0.163]
GBM-hybrid · cross/pooled + NB+0.087 [−0.015, +0.155]
GBM-hybrid · cross/pooled+within + NB+0.087 [−0.013, +0.153]
ETAS (free)+0.087 [−0.027, +0.160]
Poisson GLM · within + NB+0.085 [−0.007, +0.149]
GBM-hybrid · cross/other_region+0.083 [−0.018, +0.146]
Omori–Utsu + NB spread+0.082 [−0.011, +0.142]
Poisson GLM · within+0.081 [−0.004, +0.145]
Poisson MLP · cross/pooled + NB+0.081 [−0.028, +0.153]
Poisson MLP · cross/chrono + NB+0.073 [−0.036, +0.146]
Poisson MLP · cross/other_region + NB+0.066 [−0.049, +0.139]
GBM · cross/chrono + NB+0.064 [−0.058, +0.144]
GBM · cross/pooled + NB+0.064 [−0.059, +0.142]
GBM · cross/other_region + NB+0.062 [−0.060, +0.140]
Poisson GLM · cross/other_region + NB+0.062 [−0.055, +0.137]
GBM · within + NB+0.049 [−0.038, +0.106]
GBM · cross/chrono+0.036 [−0.099, +0.127]
Poisson MLP · cross/pooled+0.034 [−0.108, +0.129]
GBM-hybrid · cross/chrono+0.033 [−0.019, +0.067]
GBM · cross/pooled+0.024 [−0.126, +0.119]
GBM · within+0.007 [−0.096, +0.086]
GBM-hybrid · cross/pooled+within+0.006 [−0.006, +0.018]
GBM-hybrid · cross/pooled+0.002 [−0.064, +0.047]
Poisson MLP · cross/chrono+0.002 [−0.144, +0.112]
GBM · cross/other_region−0.001 [−0.150, +0.093]
GBM-hybrid · within + NB−0.035 [−0.102, +0.052]
GBM-hybrid · within−0.035 [−0.097, +0.038]
Poisson MLP · cross/other_region−0.053 [−0.150, +0.053]
Poisson GLM · cross/other_region−0.707 [−0.932, −0.440]
30 windows · 783 events. Within-sequence models abstain until 24 training windows have closed.

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

01

90% coverage 64% · 45 windows

Omori–Utsu + NB spread

01

90% coverage 73% · 45 windows

ETAS (fixed μ, subcritical)

01

90% coverage 95% · 42 windows

GBM-hybrid · within

01

90% coverage 73% · 30 windows

GBM-hybrid · cross/pooled

01

90% coverage 51% · 45 windows

where

Forecast density at day 30 for the next 7 days on the 2 km benchmark grid; dots are the 20 epicentres that followed.

KDE (adaptive)

ETAS kernel

Cell GBM

modelestimate [95% interval]
Cell GBM−0.094 [−0.202, +0.098]
ETAS kernel−0.245 [−0.362, −0.030]
KDE (fixed bandwidth)−0.347 [−0.446, −0.152]

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)eventsOmori pOmori c (d)ETAS αETAS pETAS n₃₆₅on boundfree ETAS μ/dayfree n₃₆₅
1135.00*7.818
2335.00*24.2384.450.260.230.020.02
3545.00*25.4471.750.880.9913.910.45
5735.00*14.3141.790.860.936.810.50
7930.831.2681.750.800.997.920.43
101105.00*20.9061.670.830.991.900.83
141281.644.6661.680.830.830.400.92
211570.961.5781.690.810.641.380.53
301850.790.7731.660.810.581.330.46
452190.780.7241.640.850.580.510.67
602420.810.8831.590.920.620.000.88
903030.660.2121.500.940.680.000.99
1203480.630.1031.540.960.670.110.96
1804120.640.1201.660.960.580.160.88
2404600.650.1791.740.970.500.090.84

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 MMcbootstrap sdestimator
0.5013.51601.100.22gft90
13.5170.21911.200.31gft90
70.22160.11391.100.17gft95
160.09365.02811.200.12gft90