Article: Hu, W; Pryor, SC; Letson, F; Tytell, J; Barthelmie, RJ; “Investigation of Gust-Seismic Relationships and Applications to Gust Detection”, Journal of Geophysical Research-Atmospheres, 122 (1): 140-151
Abstract: Seismic and wind data from 27 stations are used to evaluate the generalizability of gust-seismic response functions and determine whether gust occurrence and magnitudes can be retrieved from seismic time series. Using wavelet analyses it is shown that there is a well-defined gust signature in a seismic frequency band of 0.01Hz-0.1Hz.
The magnitude of this seismic response scales with the wind gust magnitude, so a gust-seismic relationship is developed using a least-squares polynomial fit wherein the variance of the acceleration of the horizontal seismic components is related to the gust intensity. A new gust detection method is then developed using the threshold obtained from the polynomial fit. Contingency tables indicate that the average proportion correct and hit rates for gust detection are 84% and 80%, respectively. This approach could be applied to high-resolution seismic arrays to detect, characterize, and quantify wind gusts with unprecedented spatial and temporal details.
Funding Acknowledgement: NSF [1540393]; Cornell University’s David R. Atkinson Center for a Sustainable Future
Funding Text: We gratefully acknowledge funding from NSF (1540393) and the Cornell University’s David R. Atkinson Center for a Sustainable Future. We also appreciate the scientific insights of L.D. Brown and F. Vernon and the scientists responsible for collating and quality checking the TA and ASOS measurements. The TA seismic and meteorological data analyzed herein are available from the IRIS Data Center (http://ds.iris.edu/ds/nodes/dmc/earth-scope/usarray), while the ASOS meteorological observations are available from the National Centers for Environmental Information (ftp://ftp.ncdc.noaa.gov/pub/data/asos-fivemin/).