@proceedings {879,
	title = {Automated Methods for Studying Long Scale Ionospheric Disturbances and Climatology},
	year = {2024},
	month = {03/2024},
	publisher = {HamSCI},
	address = {Cleveland, OH},
	abstract = {<p>During the last year we have been pushing forward with improving our methods for detecting and studying Large Scale Ionospheric Disturbances (LSTIDs) using amateur radio spots from the RBN, WSPR, and PSK databases. We now have automated systems in place to collect and archive these data daily. We developed a way to detect the minimum useful range and extract a curve from that; we can then use a Fast Fourier Transform (FFT) to estimate the period, amplitude, and occurrences of these LSTIDs, leading to an improvement in our capability to study the climatology (long term trends) of these waves in plasma density.</p>
},
	author = {William D. Engelke}
}
@proceedings {692,
	title = {Analyzing Large Scale Traveling Ionospheric Disturbances using Spot Data and Curve Fitting},
	year = {2023},
	month = {03/2023},
	publisher = {HamSCI},
	address = {Scranton, PA},
	abstract = {<p>Large Scale Traveling Ionospheric Disturbances can be observed in amateur radio data by plotting and analyzing the propagation of signals from RBN, WSPR and PSK. One of the goals of these analyses is to determine the period and amplitude of these disturbances, which are visible to the human eye in the plotted data, but are challenging to accurately characterize for period and amplitude. (Such data is important for ionospheric climatology studies).\&nbsp; Earlier research (Frissell, 2016, https://doi.org/10.1002/2015JA022168) has used a spectral approach to this analysis; this presentation shows a curve fitting technique which may prove easier to use for the large volume of analysis necessary for climatology studies.</p>
},
	author = {William D. Engelke}
}
@article {667,
	title = {Amateur Radio: An Integral Tool for Atmospheric, Ionospheric, and Space Physics Research and Operations},
	journal = {White Paper Submitted to the National Academy of Sciences Decadal Survey for Solar and Space Physics (Heliophysics) 2024-2033},
	year = {2022},
	doi = {10.3847/25c2cfeb.18632d86},
	author = {Nathaniel A. Frissell and Laura Brandt and Stephen A. Cerwin and Kristina V. Collins and David Kazdan and John Gibbons and William D. Engelke and Rachel M. Frissell and Robert B. Gerzoff and Stephen R. Kaeppler and Vincent Ledvina and William Liles and Michael Lombardi and Elizabeth MacDonald and Francesca Di Mare and Ethan S. Miller and Gareth W. Perry and Jonathan D. Rizzo and Diego F. Sanchez and H. Lawrence Serra and H. Ward Silver and David R. Themens and Mary Lou West}
}
