New Zealand · Canterbury, New Zealand

darfield 2010

mainshock
M7.2 mw · geonet:3366146
origin (UTC)
2010-09-03 16:35:41
epicentre
-43.527°, 172.168° depth 11 km
catalog
GeoNet / GNS Science (New Zealand) FDSN event service network gns
zone radius
74.9 km Gardner–Knopoff window
completeness Mc
2.8 protocol v3, max over time bins
aftershocks ≥ Mc
4,641 largest M6.2
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 = 0.12)
  • Omori fitted on first 30 d (p = 1.06)
  • Omori fitted on first 120 d (p = 1.08)
1101001,0000.11101001,000days since mainshockevents ≥ M2.8 per day
Table view
days since mainshockobserved rateOmori fitted on first 3 d (p = 0.12)Omori fitted on first 30 d (p = 1.06)Omori fitted on first 120 d (p = 1.08)
0.5261.24342.72345.31
0.56248.59
0.59256.08323.52325.8
0.7251.01303.33305.28
0.71244.06
0.83246.04282.37283.99
0.9291.63
0.98241.17260.93262.23
1.14197
1.16236.4239.31240.29
1.38231.72217.82218.5
1.44223.22
1.63227.13196.77197.18
1.83225.13
1.93222.64176.46176.62
2.29218.23157.12157.07
2.31227.42
2.71213.92138.96138.72
2.92171.01
3.21209.68122.13121.74
3.787.03
3.8205.53106.7106.19
4.5201.4792.7192.12
4.6878.73
5.33197.4880.1779.52
5.9361.5
6.31193.5769.0168.33
7.48189.7459.1758.48
7.538.99
8.85185.9950.5649.87
9.4938.4
10.48182.343.0742.4
12.0142.69
12.41178.736.5935.94
14.7175.1631.0130.4
15.234.85
17.41171.6926.2225.66
19.2326
20.61168.322.1421.61
24.3418.28
24.41164.9718.6618.18
28.91161.715.7115.27
30.814.44
34.23158.513.2112.82
38.989.46
40.54155.3711.110.74
48152.299.329
49.338.68
56.84149.287.827.53
62.426.18
67.31146.326.556.3
78.995.26
79.71143.435.495.27
94.39140.594.64.4
99.973.22
111.78137.813.853.68
126.54.82
132.37135.083.223.07
156.75132.412.72.56
160.127.5
185.62129.792.262.14
202.68.8
219.8127.221.891.79
256.49.75
260.29124.71.581.49
308.23122.231.321.24
324.55.38
365119.811.11.04

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
0.11101001,00010k1101001,000forecast origin (days)events in next 7 days
Table view
forecast origin (days)observedOmori–UtsuETAS (fixed μ, subcritical)GBM-hybrid · cross/pooled
17691,872.59 (1,802–1,944)1,770.4 (1,331–2,260)1,902.54 (1,831–1,975)
25961,104.74 (1,050–1,160)940.53 (745–1,155)1,010.9 (959–1,063)
34111,359.93 (1,300–1,421)1,274.65 (1,026–1,545)1,209.09 (1,152–1,267)
5306260.8 (235–288)323.46 (73–718)282.96 (256–311)
7283175.33 (154–197)276.69 (71–590)197.82 (175–221)
10266103.33 (87–120)148.29 (25–355)114.15 (97–132)
14193162.86 (142–184)275.61 (84–556)168.28 (147–190)
21138127.03 (109–146)183.33 (69–342)115.56 (98–134)
307894.92 (79–111)122.12 (42–235)102.42 (86–119)
456061.77 (49–75)88.93 (30–171)69.01 (56–83)
604844.33 (34–56)57.72 (14–124)48.97 (38–61)
902329.13 (21–38)41.42 (9–93)31.43 (23–41)
1202723.15 (16–31)42.05 (5–109)24.72 (17–33)
18012753.8 (42–66)181.96 (26–452)36.74 (27–47)
2403047.2 (36–59)55.42 (0.5–222)32.23 (23–42)

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
1101001,00010k100k1101001,000forecast origin (days)events in next 30 days
Table view
forecast origin (days)observedOmori–UtsuETAS (fixed μ, subcritical)GBM-hybrid · cross/pooled
11,3987,984.71 (7,838–8,132)6,742.72 (3,780–10.398k)8,060.14 (7,913–8,208)
21,1973,553.41 (3,456–3,652)2,182.54 (1,549–2,905)3,157.4 (3,065–3,250)
39855,238.53 (5,120–5,358)4,428.88 (2,867–6,267)4,499 (4,389–4,610)
5839352.65 (322–384)596.55 (25–1,833)382.62 (351–415)
7724249.04 (223–275)505.5 (49–1,365)282.48 (255–310)
10641160.12 (140–181)280.99 (10–879)177.83 (156–200)
14515435.8 (402–470)613.54 (60–1,655)450.3 (416–485)
21390386.22 (354–419)665.67 (170–1,425)351.33 (321–382)
30279311.24 (283–341)560.44 (191–1,086)335.84 (306–366)
45215215.52 (192–240)414.14 (140–804)240.76 (216–267)
60164160.44 (140–182)306.11 (88–629)177.24 (156–199)
90134110.65 (94–128)214.98 (57–453)119.37 (102–138)
12010690.6 (75–107)215.89 (28–548)96.76 (81–113)
180306222.41 (198–247)688.83 (119–1,644)151.88 (132–172)
240131196.88 (174–220)276.51 (4–950)134.45 (116–154)

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 (fixed μ, subcritical)+0.810 [+0.105, +1.150]
ETAS (free)+0.648 [+0.091, +0.909]
Omori–Utsu + NB spread+0.070 [−0.001, +0.214]
45 windows · 12,184 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/other_region + NB+0.137 [−0.002, +0.236]
Poisson MLP · cross/pooled + NB+0.137 [−0.004, +0.236]
Poisson GLM · cross/pooled + NB+0.137 [−0.002, +0.236]
GBM · cross/chrono + NB+0.136 [−0.005, +0.234]
GBM · cross/pooled + NB+0.136 [−0.005, +0.235]
Poisson GLM · cross/chrono + NB+0.136 [−0.004, +0.234]
GBM · cross/other_region + NB+0.136 [−0.005, +0.235]
ETAS (fixed μ, subcritical)+0.134 [−0.008, +0.233]
Poisson MLP · cross/other_region + NB+0.134 [−0.009, +0.233]
GBM-hybrid · cross/other_region + NB+0.133 [−0.007, +0.231]
Omori–Utsu + NB spread+0.133 [−0.008, +0.231]
GBM-hybrid · cross/pooled + NB+0.133 [−0.007, +0.230]
GBM-hybrid · cross/pooled+within + NB+0.133 [−0.008, +0.230]
GBM-hybrid · cross/chrono + NB+0.133 [−0.008, +0.230]
Poisson MLP · cross/chrono + NB+0.129 [−0.007, +0.229]
ETAS (free)+0.122 [−0.028, +0.225]
Poisson GLM · cross/other_region+0.118 [−0.001, +0.217]
GBM · cross/pooled+0.117 [−0.007, +0.218]
GBM · cross/other_region+0.116 [−0.006, +0.218]
Poisson GLM · cross/pooled+0.116 [−0.003, +0.218]
GBM · within + NB+0.112 [−0.019, +0.205]
Poisson MLP · cross/pooled+0.112 [−0.027, +0.210]
GBM · cross/chrono+0.105 [−0.007, +0.196]
Poisson GLM · cross/chrono+0.086 [−0.018, +0.173]
Poisson MLP · cross/other_region+0.067 [−0.130, +0.184]
GBM · within+0.052 [−0.139, +0.173]
Poisson MLP · cross/chrono+0.026 [−0.293, +0.191]
Poisson GLM · within + NB+0.019 [−0.009, +0.041]
GBM-hybrid · cross/other_region+0.005 [−0.047, +0.025]
GBM-hybrid · cross/pooled−0.001 [−0.069, +0.025]
GBM-hybrid · cross/pooled+within−0.014 [−0.071, +0.005]
GBM-hybrid · cross/chrono−0.016 [−0.077, +0.005]
GBM-hybrid · within + NB−0.044 [−0.105, +0.041]
Poisson GLM · within−0.092 [−0.334, +0.020]
GBM-hybrid · within−0.114 [−0.187, −0.032]
30 windows · 4,041 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 33% · 45 windows

Omori–Utsu + NB spread

01

90% coverage 67% · 45 windows

ETAS (fixed μ, subcritical)

01

90% coverage 80% · 45 windows

GBM-hybrid · within

01

90% coverage 37% · 30 windows

GBM-hybrid · cross/pooled

01

90% coverage 40% · 45 windows

where

Forecast density at day 30 for the next 7 days on the 2 km benchmark grid; dots are the 78 epicentres that followed.

KDE (adaptive)

ETAS kernel

Cell GBM

modelestimate [95% interval]
ETAS kernel+0.053 [−0.096, +0.304]
Cell GBM−0.053 [−0.081, +0.021]
KDE (fixed bandwidth)−0.109 [−0.120, −0.064]

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
11340.05*100.0007.171.960.99c0.1093.09
23460.310.4055.891.190.220.441.56
35710.120.0005.690.590.86195.520.05
57435.00*13.4360.374.500.96p0.480.96
78735.00*13.9860.394.500.95p5.960.92
109824.4812.4310.474.500.95p4.030.91
141,1561.231.6660.404.500.96p6.440.89
211,3491.091.2310.702.030.976.710.86
301,5191.061.1520.881.670.994.820.86
451,6871.091.2590.991.540.991.850.94
601,7981.121.3921.151.440.990.001.02
901,9621.121.3781.291.340.990.001.01
1202,0961.081.1581.501.220.990.001.02
1803,2170.610.0001.671.210.990.201.16
2403,7090.600.0001.761.170.990.191.11

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
0.501.11902.800.28gft90
1.142.64532.700.32gft95
2.605.94982.700.13gft95
5.9313.55792.500.54gft95
13.5130.87872.600.23gft95
30.8070.28692.500.13gft95
70.22160.18802.500.09gft95
160.09365.05,2502.800.38gft95