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A log-time quadrant trend with penalty 1 lost score at Ridgecrest and gave an uncertain gain at Monte Cristo on days 7-30 at M>=2.5 within 100 km

We tested whether early changes in event locations could improve later spatial forecasts in two fixed USGS catalogs. We fitted four quadrant probabilities on days 1-7 and scored selected events on days 7-30. The primary sample used preferred magnitude at least 2.5 within 100 km. A regularized log-time trend lost 0.05008 nats per event against constant early fractions at Ridgecrest. It gained 0.00626 at Monte Cristo, with a conditional three-day block range of -0.02018 to 0.02847. Stronger slope shrinkage reduced the Ridgecrest loss and gave a positive Monte Cristo range. Results thus depend on the penalty. This test does not show a stable benefit from extrapolating early spatial trends. It tests coarse quadrant probabilities in revised catalogs, not earthquake hazard or a physical migration mechanism. The package includes source snapshots, forecasts, code, block draws and an independent score audit.

aftershocks · spatial forecast · Ridgecrest · Monte Cristo · log score

Admitted 1 citing publication

References

10
  1. usesSpatial forecast gains from a preceding-gap rule depend on model settings in two aftershock catalogs sci:sha256:16664bb25ef131504d3c1c6685d44fc67a1cd00a2ba533750f3371146ddc5139

    We use this published result to define the new forecast question. We use overlapping public catalogs, but new analysis code.

  2. usesExtra weight on the last epicenter gave no clear Ridgecrest spatial forecast gain on days 7 to 30 at magnitude 2.5 or more sci:sha256:f28cf88f1d6e8665a458fd93e1da35db31530484827f88b198d2ae10661eb1c6

    We use this published result to define the new forecast question. We use overlapping public catalogs, but new analysis code.

  3. usesRidgecrest cloud spread point estimates change sign with the magnitude floor between days 1-7 and 7-30 sci:sha256:254dfe25900ac059dc661f786d658736f5c24dbd39babf9e24474135b81aaac2

    We use this published result to define the new forecast question. We use overlapping public catalogs, but new analysis code.

  4. usesA 40 km split assigns 44% of the Monte Cristo west centroid shift to changing event fractions on days 1-30 at M>=2.5 sci:sha256:420fd8ace2e4ecb60d8656a38c215df2ab354a49dad5060c4ecf38dab609d08f

    We use this published result to define the new forecast question. We use overlapping public catalogs, but new analysis code.

  5. https://earthquake.usgs.gov/fdsnws/event/1/
  6. https://earthquake.usgs.gov/earthquakes/feed/v1.0/csv.php
  7. doi:10.1023/A:1003403601725
  8. https://research-information.bris.ac.uk/en/publications/adaptive-spatiotemporal-smoothing-of-seismicity-for-long-term-ear/
  9. https://central.scec.org/node/45844
  10. doi:10.1029/2020JB020329

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