Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Tom Bleier"'
Autor:
Jann-Yenq Liu, Chieh-Hung Chen, Tsung-Yu Wu, Hsiao-Ching Chen, Katsumi Hattori, I-Ching Yang, Tom Bleier, Karl Kappler, Yaqin Xia, Weisheng Chen, Zhengyan Liu
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 28, Iss 5, Pp 683-692 (2017)
This paper utilizes 10 stations of co-located seismometer, QuakeFinder/infrasound to observe co-seismic signatures triggered by the 6 February 2016 M 6.6 Meinong Earthquake. Each QuakeFinder system consists of a 3-axes induction magnetometer, an air
Externí odkaz:
https://doaj.org/article/a2d40deda3c44286b2f2224c098aa2ec
Publikováno v:
Journal of Atmospheric and Solar-Terrestrial Physics. 186:47-60
Air ion concentrations at ground level have been measured both indoors and outdoors to address a wide variety of questions, such as estimating air quality or assessing the impact of ions on human health. While most studies rely on discrete measuremen
Autor:
Weisheng Chen, Katsumi Hattori, Jann-Yenq Liu, Tom Bleier, TsungYu Wu, I. Ching Yang, Yaqin Xia, Hsiao Ching Chen, Chieh-Hung Chen, Karl N. Kappler, Zhengyan Liu
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 28, Iss 5, Pp 683-692 (2017)
This paper utilizes 10 stations of co-located seismometer, QuakeFinder/infrasound to observe co-seismic signatures triggered by the 6 February 2016 M 6.6 Meinong Earthquake. Each QuakeFinder system consists of a 3-axes induction magnetometer, an air
Publikováno v:
Computers & Geosciences. 133:104317
An end-to-end algorithm is described wherein field-collected magnetometer time series data were processed and analyzed for potential statistical correlation with pre-seismic activity. The process included windowing the data, extraction of statistical
Autor:
Can Wang, Lilianna E. Christman, Chen Bin, Karl N. Kappler, Simon L. Klemperer, Jonathan M.G. Glen, Darcy K. McPhee, Tom Bleier, J. Clark Dunson
Publikováno v:
Earth, Planets, and Space
Earth, Planets and Space, Vol 70, Iss 1, Pp 1-14 (2018)
Earth, Planets and Space, Vol 70, Iss 1, Pp 1-14 (2018)
When working with ultra-low-frequency (ULF) magnetic datasets, as with most geophysical time-series data, it is important to be able to distinguish between cultural signals, internal instrument noise, and natural external signals with their induced t