gm_models
Native (Rust) reimplementations of empirical ground motion models, for use alongside oq_wrapper. Model math and the input columns live in Rust (src-rust/, one module per model built on src-rust/gmm.rs); input validation, epistemic-branch handling, and result assembly are shared in Python (gm_models/models.py).
Usage
import gm_models as gmm
ds = gmm.P_21.run(
gmm.constants.TectType.SUBDUCTION_INTERFACE, rupture_df, "pSA", periods=[0.1, 1.0]
)
Every model is a gmm.Model (gmm.P_21, gmm.ASK_14, ...) whose run takes the tectonic type, a rupture/site dataframe (OpenQuake column names, Z1.0 in km, as for oq_wrapper.run_gmm) and the IM, and returns an xarray.Dataset (see below). Models with epistemic branches take epistemic_branch=, the NZ NSHM2022 ones modified_sigma=, and passing an argument a model does not have is an error.
The columns a model needs are the parameter names of its Rust inputs constructor for the tectonic type, e.g. inspect.signature(gmm.P_21.inputs[TectType.SUBDUCTION_SLAB]), and a missing one is reported by name. Optional columns: vs30measured, is_aftershock (default False) and xvf (default 0).
Models
- K_20: NZ NSHM2022 modification of Kuehn et al. (2020), global (GLO) region, subduction interface/slab (backarc term, modified sigma, epistemic branches).
- K_20_NZ: Kuehn et al. (2020) NGA-Subduction model with the New Zealand regional coefficients and basin term.
- P_20: Parker et al. (2020) NGA-Subduction global model, subduction interface/slab, no regional adjustments.
- P_21: NZ NSHM2022 modification of Parker et al. (2020), global (GLO) region, the subduction interface/slab model used in NZ's NSHM2022 logic tree.
- AG_20: NZ NSHM2022 modification of Abrahamson and Gulerce (2020), global (GLO) region with the slab backarc term and epistemic branches.
- AG_20_NZ: Abrahamson and Gulerce (2020) with the New Zealand (NZL) regional adjustment, no backarc term.
- A_22: Atkinson (2022) NZ NSHM backbone model for active shallow crust (and volcanic), subduction interface and slab, with the NSHM2022 modified sigma.
- S_22: Stafford (2022) NZ NSHM backbone model (modified Chiou and Youngs 2014) for active shallow crust (and volcanic).
- ASK_14: Abrahamson, Silva and Kamai (2014) NGA-West2, default California model for mainshocks (no aftershock or regional terms), active shallow and volcanic.
- BSSA_14: Boore, Stewart, Seyhan and Atkinson (2014) NGA-West2, global model without basin term, active shallow and volcanic.
- CY_14: Chiou and Youngs (2014) NGA-West2, default OpenQuake configuration (California region, hanging-wall term on), for active shallow and volcanic.
- Br_13: Bradley (2013) New Zealand active shallow crust model (
Bradley2013, andBradley2013Volcfor volcanic), PGA and SA. - CB_14: Campbell and Bozorgnia (2014) NGA-West2, with estimated rupture width and OpenQuake's
sigma_mu_epsilonepistemic branches (active shallow and volcanic). - CB_10: Campbell and Bozorgnia (2008) NGA with the 2010 CAV model (active shallow; PGA, PGV, CAV, SA).
- ZA_06: Zhao et al. (2006), active shallow crust, subduction interface and slab.
- A_18: Abrahamson et al. (2018) update of the BC Hydro subduction model (Cascadia adjustment, central branch), interface and slab.
- AS_16: Afshari and Stewart (2016) significant durations (
Ds575,Ds595,Ds2080) for active shallow crust, California basin model. - BA_18: Bayless and Abrahamson (2018) effective amplitude spectrum (
EAS,frequencies=) for active shallow crust. Above the 24 Hz regression limit it follows the paper rather than OpenQuake, whose total sigma there reads placeholder coefficients (seesrc-rust/ba18.rs). - BCH_16: BC Hydro (Abrahamson et al. 2016) with the ESHM20 theta6 calibration and the "Step" forearc/backarc taper, interface and slab.
Logic tree
gmm.run_nshm2022 runs the NZ NSHM 2022 GMCM logic tree (Bradley et al. 2024, pSA only), with the same models, weights and mixture combination as oq_wrapper.run_gmm_logic_tree. It returns the combined ln_mean and std_total, plus every branch's values along a branch dimension (coordinates model, epistemic_branch, weight).
Examples
examples/run_model.py runs a single model (Br_13) and examples/run_logic_tree.py the NSHM 2022 logic tree per tectonic type, both on the NZGMDB records in oq_wrapper's benchmark data.
Licence
Unlike the rest of this repository (MIT), gm_models is licensed under the GNU Affero General Public License v3.0 or later (see LICENSE). The models are transcribed from OpenQuake's openquake.hazardlib (Copyright (C) GEM Foundation, AGPL-3.0-or-later) and modified, so this package is a derivative work of OpenQuake.
Verification
Two layers:
- OpenQuake verification (
cargo test -- --ignored): compares directly against OpenQuake's (openquake.hazardlib) own independently-sourced reference tables, read from theexternal/oq-enginegit submodule (git submodule update --init external/oq-engine), which pins the oq-engine commit. The tests are#[ignore]d so a plaincargo testworks without the submodule. CI runs them inopenquake-verification.yml;openquake-data-drift.ymlchecks weekly whether the reference data changed on oq-engine master and opens an issue if so. - oq_wrapper benchmark parity (
pytest tests/): compares the values of the full Python-facing output againstoq_wrapper's existing benchmark parquet fixtures. The output format differs on purpose: models return anxarray.Dataset(variablesln_mean,std_total,std_inter,std_intra, with a numericperioddimension for pSA andfrequencyfor EAS) rather thanoq_wrapper's flat DataFrame withpSA_{period}_std_Total-style columns.
Where OpenQuake's own tests only match a reference table loosely (the tables come from the model authors' original code, rounded), the Rust test uses OpenQuake's tolerance instead of the default 0.1%: BSSA_14 (2% mean, 1% sigma), ZA_06 (0.4% mean), A_22 (0.5% mean), AS_16 (3% mean) and BA_18 (0.8% mean). The exact comparison for every model is the oq_wrapper benchmark parity (layer 2).
SA periods outside a model's coefficient table are an error; only ZA_06 has an opt-in extrapolate option (oq_wrapper's constant-displacement extrapolation above 5 s, off by default).
A plain cargo test also runs property tests (proptest) over the supported input domain, which need no external data.
Coefficient tables in data/ are exported from OpenQuake with scripts/export_coeffs.py and compiled in by build.rs.
Benchmarks
cargo bench runs the criterion benchmarks in benches/ and writes an HTML report to target/criterion/report/index.html. cargo bench -- --profile-time 5 also writes flamegraphs (via pprof).
Building
uv sync --extra test # builds the Rust extension via setuptools-rust
git submodule update --init external/oq-engine
cargo test -- --ignored # Layer 1
uv run --extra test pytest tests -v # Layer 2
Metadata
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