@article {wang_slab_2025,
	title = {Slab Morphology, Dehydration, and Sub-Arc Melting Beneath the Alaska Peninsula Revealed by Body-Wave Tomography},
	journal = {Journal of Geophysical Research: Solid Earth},
	volume = {130},
	number = {3},
	year = {2025},
	note = {_eprint: https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2024JB029814},
	pages = {e2024JB029814},
	abstract = {Abstract The Alaska Peninsula has a long history of plate subduction with along-arc variations in volcanic eruption styles and geochemistry. However, the sub-arc melting processes that feed these volcanoes are unclear. The Alaska slab morphology below 200 km depth remains debated due to limited seismic data and thus low tomography resolution in this region. Here we utilize the newly available regional and teleseismic data to build 3-D high-resolution VP and VS models to 660 km depth. We find that the high-velocity Pacific Plate subducts to the bottom of the mantle transition zone (MTZ) with complex deformation and gaps. In the southwest, we observe a wide gap in the high-velocity slab at 200{\textendash}500 km depths. Toward the northeast, the slab becomes more continuous extending to the MTZ with a few holes below 200 km. We interpret these gaps as a slab tear that coincides with the subducted ancient Kula-Pacific Ridge. We also invert for 3-D VP and VP/VS models to 200 km depth with higher resolution and find strong along-strike changes in slab dehydration and sub-arc melting, indicated by low VP and high VP/VS anomalies. Slab dehydration and sub-arc melting are most extensive below the Pavlof and Shumagin segments in the southwest, becoming limited below the Chignik and Chirikof segments in the northeast, and extensive again beneath the Kodiak segment further to the northeast. We propose that the variations of slab hydration at the outer rise significantly influence slab dehydration at greater depths and further control sub-arc melting beneath the Alaska Peninsula.},
	keywords = {Alaska peninsula, Body-wave tomography, slab dehydration, slab morphology, sub-arc melting, subduction zones, tomography, volcano},
	doi = {https://doi.org/10.1029/2024JB029814},
	author = {Wang, Fan and Wei, S. Shawn and Ruppert, Natalia A. and Zhang, Haijiang and Wu, Jonny}
}
@article {wang_fluids_2024,
	title = {Fluids control along-strike variations in the Alaska megathrust slip},
	journal = {Earth and Planetary Science Letters},
	volume = {633},
	year = {2024},
	month = {may},
	pages = {118655},
	abstract = {Interseismic and coseismic slip on the subduction zone megathrust show complex along-strike variations and the controlling factors remain debated. Here we image seismic velocity anomalies to infer fluid distribution in the Alaska subduction zone (Alaska Peninsula section) with seismic tomography. The weakly locked Shumagin segment is characterized by abundant fluids on the plate interface and in the overriding plate, whereas the moderately-to-highly locked Chignik and Chirikof segments that hosted M > 8 earthquakes are relatively dry. The Kodiak segment, which was ruptured by the 1964 M9.2 Great Alaska earthquake and is presently fully locked near the trench, is characterized by a fluid-rich plate interface but a fluid-poor and inferred low-porosity overriding plate. Multiple large earthquakes have nucleated in fluid-rich regions at the plate interface. Our study highlights the important roles of fluids, particularly in the overriding plate, in controlling interseismic slip deficit and earthquake rupture. We propose that a fluid-rich overriding plate means that there has been a high sustained flux of fluids across the plate interface, which enhances the formation of clay minerals that promote fault creep.},
	keywords = {Alaska peninsula, Body-wave tomography, fluids, Megathrust earthquakes, Slip behavior, subduction zone},
	issn = {0012-821X},
	doi = {10.1016/j.epsl.2024.118655},
	url = {https://www.sciencedirect.com/science/article/pii/S0012821X24000888},
	author = {Wang, Fan and Wei, S. Shawn and Drooff, Connor and Elliott, Julie L. and Freymueller, Jeffrey T. and Ruppert, Natalia A. and Zhang, Haijiang}
}
@article {ruppert_enhanced_2022,
	title = {Enhanced Regional Earthquake Catalog with Alaska Amphibious Community Seismic Experiment Data},
	journal = {Seismological Research Letters},
	volume = {94},
	number = {1},
	year = {2022},
	pages = {522{\textendash}530},
	abstract = {The Alaska Amphibious Community Seismic Experiment (AACSE) comprised 75 ocean-bottom seismometers and 30 land stations and covered about 650~km along the segment of the subduction zone that includes Kodiak Island, the Alaska Peninsula and the Shumagin Islands between May 2018 and September 2019. This unprecedented onshore-offshore dataset provided an opportunity to compile a greatly enhanced earthquake catalog for the region by both increasing the number of detected earthquakes and improving the accuracy of their source parameters. We use all available regional and AACSE campaign seismic data to compile an earthquake catalog for the region between Kodiak and the Shumagin Islands including the Alaska Peninsula (51{\textdegree}~N{\textendash}59{\textdegree}~N, 148{\textdegree}~W{\textendash}163{\textdegree}~W). We apply the same processing and reporting standards to additional picks and events as the Alaska Earthquake Center currently uses for compilation of the authoritative regional earthquake catalog. Over 7200 events (both newly detected and previously reported) have been processed with AACSE data. We added about 30\% more events, 60\% more phase picks, lowered the magnitude of completeness by about 0.2 on average across the region, and improved location errors. All data have been published in public data archives. In addition, we test the machine-learning earthquake detection and picking algorithm EarthquakeTransformer (EQT) on the AACSE seismic dataset, comparing EQT-determined P and S picks with the new catalog. EQT is entirely trained on land data, whereas AACSE is amphibious. Overall, EQT finds 59\% of P and 63\% of S arrivals in the catalog within 300~km epicentral distance. The percent of catalog picks detected by EQT varies inversely with earthquake epicentral distance, and EQT performs particularly poorly on data from earthquakes recorded by instruments in the outer rise.},
	issn = {0895-0695},
	doi = {10.1785/0220220226},
	url = {https://doi.org/10.1785/0220220226},
	author = {Ruppert, Natalia A. and Barcheck, Grace and Abers, Geoffrey A.}
}
