Lightning forecast from chaotic and incomplete time series using wavelet de-noising and spatiotemporal kriging

Purpose – Present a method to impute missing data from a chaotic time series, in this case lightning prediction data, and then use that completed dataset to create lightning prediction forecasts. Design/methodology/approach – Using the technique of spatiotemporal kriging to estimate data that is aut...

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Bibliographic Details
Published in:	Journal of Defense Analytics and Logistics
Main Authors:	Jared Nystrom, Raymond R. Hill, Andrew Geyer, Joseph J. Pignatiello, Eric Chicken
Format:	Article
Language:	English
Published:	Emerald Publishing 2023-11-01
Subjects:	Forecasting Imputation Wavelets Kriging
Online Access:	https://www.emerald.com/insight/content/doi/10.1108/JDAL-03-2023-0003/full/pdf

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