Publications

Harris, J.M., Aur, K.A., McMahon, N.D., Lechtenberg, K.J., Wright, P.W., & Wright, P.W. (2023). Geophysical Monitoring System (GMS) Interactive Analysis Capabilities [Poster]. 10.2172/2431212

Harris, J.M., Aur, K.A., McMahon, N.D., Lechtenberg, K.J., Wright, P.W., & Wright, P.W. (2023). Geophysical Monitoring System (GMS) Interactive Analysis Capabilities Lightning Talk [Conference Presentation]. 10.2172/2431211

Aur, K.A., Bobeck, J., Alberti, A., Kay, P., & Kay, P. (2021). Pycheron: A python-based seismic waveform data quality control software package. Seismological Research Letters, 92(5), pp. 3165-3178. 10.1785/0220200418

Aur, K.A. (2021). Pycheron: A Python Software Package for Waveform QC [Conference Presentation]. 10.2172/1847607

Aur, K.A., Young, B.A., Wheeler, L.B., Borden, R., Pate, R.D., & Pate, R.D. (2020). Intra-Agency Coordination Team (IACT) eOS Presentation [Presentation]. https://www.osti.gov/biblio/1832684

Aur, K.A., Young, B.A., Wheeler, L.B., Pate, R.D., Borden, R., & Borden, R. (2020). DCAT-eOS-AP: A Metadata Schema for Use in Nuclear Monitoring Projects with Applications to Other DOE Mission Areas [Conference Presentation]. 10.2172/1830897

Aur, K.A., Young, B.A., Wheeler, L.B., Borden, R., Pate, R.D., & Pate, R.D. (2020). Emerging Metadata and Data Standards for Next-Generation Data Management [Presentation]. https://www.osti.gov/biblio/1830064

Aur, K.A., Young, B.A., Wheeler, L.B., Borden, R., Pate, R., & Pate, R. (2020). Sandia National Laboratories Ecosystem for Open Science: Metadata Schema v0.2 Description. 10.2172/1777073

Aur, K.A., Borden, R., Pate, R.D., Wheeler, L.B., Young, B.A., & Young, B.A. (2020). Metadata Schema (DCAT-EOS-AP V.0.2). 10.2172/1658673

Aur, K.A., Young, B.A., Pate, R.D., Wheeler, L.B., Borden, R., & Borden, R. (2020). DCAT-eOS-AP: A metadata schema for use in nuclear monitoring projects with applications to other DOE mission areas [Conference Poster]. https://www.osti.gov/biblio/1821843

Linville, L., Brogan, R.C., Young, C.J., Aur, K.A., & Aur, K.A. (2019). Global- And local-scale high-resolution event catalogs for algorithm testing. Seismological Research Letters, 90(5), pp. 1927-1993. 10.1785/0220180345

Young, C.J., Linville, L., Aur, K.A., Brogan, C., & Brogan, C. (2019). Global and Local Scale High-Resolution Seismic Event Catalogs for Algorithm Development and Testing [Conference Poster]. https://www.osti.gov/biblio/1640049

Young, C.J., Linville, L., Aur, K.A., Brogan, R., & Brogan, R. (2019). Global and Local Scale High-Resolution Seismic Event Catalogs for Algorithm Development and Testing [Conference Poster]. https://www.osti.gov/biblio/1639798

Poppeliers, C., Aur, K.A., Preston, L., & Preston, L. (2018). The Relative Importance of Assumed Infrasound Source Terms and Effects of Atmospheric Models on the Linear Inversion of Infrasound Time Series at the Source Physics Experiment. Bulletin of the Seismological Society of America, 109(1). 10.1785/0120180249

Young, C.J., Teich-McGoldrick, S., Aur, K.A., Begnaud, M., Gaylord, J., Schrom, B., Mendez, J., Koper, K., & Koper, K. (2018). The 2018 Dynamic Networks Data Processing and Analysis Experiment (DNE18) [Conference Poster]. https://www.osti.gov/biblio/1648635

Poppeliers, C., Aur, K.A., Preston, L., & Preston, L. (2018). Predicting Atmospheric Green's Functions using the Weather Research and Forecasting Model. 10.2172/1761090

Poppeliers, C., Aur, K.A., Preston, L., & Preston, L. (2018). The Relative Importance of Assumed Infrasound Mechanisms on the Linear Inversion of Infrasound Time Series at the Source Physics Experiment. 10.2172/1761091

Poppeliers, C., Preston, L., Aur, K.A., & Aur, K.A. (2018). The effects of atmospheric model variability on the inversion of infrasonic signals at the Source Physics Experiment [Conference Poster]. https://www.osti.gov/biblio/1575978

Poppeliers, C., Aur, K.A., Preston, L., & Preston, L. (2018). The effects of atmospheric model variability on the inversion of infrasonic signals at the Source Physics Experiment [Conference Poster]. https://www.osti.gov/biblio/1573565

Aur, K.A., Preston, L., Poppeliers, C., Williams, M., & Williams, M. (2018). Building and Running TDAAPS Models: WRF Predictions. 10.2172/1761342

Poppeliers, C., Aur, K.A., Wheeler, L.B., Preston, L., & Preston, L. (2018). Building and Running TDAAPS Models: WRF Postdictions. 10.2172/1472225

Poppeliers, C., Aur, K.A., Preston, L., & Preston, L. (2018). The use of atmospheric prediction models to invert infrasound for linear-equivalent time domain moment tensors: Source Physics Experiment, Phase 1. 10.2172/1468382

Poppeliers, C., Aur, K.A., Preston, L., & Preston, L. (2018). Infrasound Predictions Using the Weather Research and Forecasting Model: Atmospheric Green's Functions for the Source Physics Experiments 1-6. 10.2172/1426618

Aur, K.A., Poppeliers, C., Preston, L., & Preston, L. (2017). A comparison between predicted and observed atmospheric states and their effects on infrasonic source time function inversion at Source Physics Experiment 6 [Conference Poster]. https://www.osti.gov/biblio/1487014

Preston, L., Aur, K.A., & Aur, K.A. (2017). DAG-1 Infrasound Predictions [Presentation]. https://www.osti.gov/biblio/1806468