Using surface waves recorded by a large mesh of three-element arrays to detect and locate disparate seismic sources

Author Posting. © The Authors, 2018. This article is posted here by permission of The Royal Astronomical Society for personal use, not for redistribution. The definitive version was published in Geophysical Journal International 215 (2018): 942–958, doi:10.1093/gji/ggy316.Surface waves recorded by global arrays have proven useful for locating tectonic earthquakes and in detecting slip events depleted in high frequency, such as glacial quakes. We develop a novel method using an aggregation of small- to continental-scale arrays to detect and locate seismic sources with Rayleigh waves at 20–50 s period. The proposed method is a hybrid approach including first dividing a large aperture aggregate array into Delaunay triangular subarrays for beamforming, and then using the resolved surface wave propagation directions and arrival times from the subarrays as data to formulate an inverse problem to locate the seismic sources and their origin times. The approach harnesses surface wave coherence and maximizes resolution of detections by combining measurements from stations spanning the whole U.S. continent. We tested the method with earthquakes, glacial quakes and landslides. The results show that the method can effectively resolve earthquakes as small as ∼M3 and exotic slip events in Greenland. We find that the resolution of the locations is non-uniform with respect to azimuth, and decays with increasing distance between the source and the array when no calibration events are available. The approach has a few advantages: the method is insensitive to seismic event type, it does not require a velocity model to locate seismic sources, and it is computationally efficient. The method can be adapted to real-time applications and can help in identifying new classes of seismic sources.WF is currently supported by the Postdoctoral Scholar Program at the Woods Hole Oceanographic Institution, with funding provided by the Weston Howland Jr. Postdoctoral Scholarship. This work was supported by National Science Foundation grant EAR-1358520 at Scripps Institution of Oceanography, UC San Diego

Relationships between gravity waves observed at Earth's surface and in the stratosphere over the central and eastern United States

Observations of tropospheric gravity waves (GWs) made by the new and extensive USArray Transportable Array (TA) barometric network located east of the Rockies, in the central and eastern United States and of stratospheric (30–40 km above sea level) GWs made by the Atmospheric Infrared Sounder (AIRS) are compared over a 5 year time span from 2010 through 2014. GW detections in the period band from 2 to 6 h made at the Earth's surface during the thunderstorm season from May through August each year exhibit the same broad spatial and temporal patterns as observed at stratospheric altitudes. At both levels, the occurrence frequency of GWs is higher at night than during the day and is highest to the west of the Great Lakes. Statistically significant correlations between the variance of the pressure at the TA, which is a proxy for GWs at ground level, with 8.1 μm brightness temperature measurements from AIRS and rain radar precipitation data, which are both proxies for convective activity, indicate that GWs observed at the TA are related to convective sources. There is little, if any, time lag between the two. Correlations between GWs in the stratosphere and at ground level are weaker, possibly due to the AIRS observational filter effect, but are still statistically significant at nighttime. We conclude that convective activity to the west of the Great Lakes is the dominant source of GWs both at ground level and within the stratosphere

Stormquakes

Author Posting. © American Geophysical Union, 2019. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Geophysical Research Letters 46 (2019): 12909-12918, doi: 10.1029/2019GL084217.Seismic signals from ocean‐solid Earth interactions are ubiquitously recorded on our planet. However, these wavefields are typically incoherent in the time domain limiting their utilization for understanding ocean dynamics or solid Earth properties. In contrast, we find that during large storms such as hurricanes and Nor'easters the interaction of long‐period ocean waves with shallow seafloor features located near the edge of continental shelves, known as ocean banks, excites coherent transcontinental Rayleigh wave packets in the 20‐ to 50‐s period band. These “stormquakes” migrate coincident with the storms but are effectively spatiotemporally focused seismic point sources with equivalent earthquake magnitudes that can be greater than 3.5. Stormquakes thus provide new coherent sources to investigate Earth structure in locations that typically lack both seismic instrumentation and earthquakes. Moreover, they provide a new geophysical observable with high spatial and temporal resolution with which to investigate ocean wave dynamics during large storms.We would like to thank the Editor Dr. Hayes, Dr. Ekström, Dr. McNamara, Dr. Pollitz, and the other two reviewers for their constructive suggestions, which have led to improvements in our paper. We would also like to thank Dr. Ardhuin and Dr. Gualtieri for helpful discussions, and specifically Dr. Ardhuin for sharing codes to model ocean wave and seafloor topography interference (Ardhuin et al., 2015). The seismic data were provided by Data Management Center (DMC) of the Incorporated Research Institutions for Seismology (IRIS). The facilities of IRIS Data Services, and specifically the IRIS Data Management Center, were used for access to waveforms, related metadata, and/or derived products used in this study. IRIS Data Services are funded through the Seismological Facilities for the Advancement of Geoscience and EarthScope (SAGE) Proposal of the National Science Foundation under Cooperative Agreement EAR‐1261681. The earthquake catalogs were downloaded from the Global Centroid Moment Tensor GCMT project (Ekström et al., 2012), and the International Seismological Centre (ISC) (International Seismological Centre, 2013). The ocean wave models are obtained from the Environmental Modeling Center at the National Weather Service (NWS) of the National Oceanic and Atmospheric Administration (NOAA; Tolman, 2014). The hurricane tracks are obtained from the National Hurricane Center (NHC) of NOAA (Landsea & Franklin, 2013). The topography is obtained from the ETOPO1 Arc‐Minute Global Relief Model provided by the National Geophysical Data Center (NGDC) of NOAA. Toponymic information, including undersea features, are obtained from the GEONet Names Server (GNS), which is based on the Geographic Names Database, containing official standard names approved by the U.S. Board on Geographic Names and maintained by the National Geospatial‐Intelligence Agency (www.nga.mil, last accessed 21 March 2019). The Bahamas Banks geographic polygons are obtained from the U.S. Geological Survey (USGS) Geographic Names Information System (GNIS) database of names. The AELUMA code can be obtained on request through the IRIS data service product website at https://ds.iris.edu/ds/products/infrasound-aeluma/request(last accessed 21 March 2019). W. F. acknowledges support from the Postdoctoral Scholar Program at the Woods Hole Oceanographic Institution, with funding provided by the Weston Howland Jr. Postdoctoral Scholarship. C. D. G and M. A. H. H acknowledge support from NSF Grant EAR‐1358520. The processed data are available from the authors upon request.2020-04-1

Atmospheric controls on ground and space-based remote detection of volcanic ash Injection into the atmosphere, and link to early warning systems for aviation hazard mitigation

Violent volcanic eruptions, common especially in Southeast Asia, posean ongoing serious threat to aviation and local communities. However, the physicalconditions at the eruptive vent are difficult to estimate. In order to tackle thisproblem, satellite imagery and infrasound can rapidly provide information aboutstrong eruptions of volcanoes not closely monitored by on-site instruments. Forexample, the recent infrasonic array at Singapore, installed to support the coverageof the International Monitoring System, allows identification of nearby eruptingvolcanoes based on the characteristics of the recorded signal. But, due to its locationclose to the equator, seasonal changes in the wind velocity structure of the atmospherestrongly affect its potential to detect small volcanic eruptions at certainazimuths. To overcome this limit, infrasound could be augmented with satellite data. Yet, with the high average cloud cover in Southeast Asia, there are alsochallenges to identify weak volcanic plumes using satellite based monitoringtechniques. In this chapter, we aim to examine the relative strengths and weaknessesof the two technologies to better understand the possibility to improveoverall detection capability by combining infrasound with satellite imagery