On the Assessment of Daily Equatorial Plasma Bubble Occurrence Modeling and Forecasting
On the Assessment of Daily Equatorial Plasma Bubble Occurrence Modeling and Forecasting
复制标题
日常赤道等离子体气泡发生建模与预报的评估
DOI:
10.1029/2020sw002555
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发表时间:
2020
期刊:
影响因子:
3.7
通讯作者:
Caton, R.
中科院分区:
文献类型:
--
作者:
Carter, B. A.;Currie, J. L.;Dao, T.;Yizengaw, E.;Retterer, J.;Terkildsen, M.;Groves, K.;Caton, R.
Predicting the daily variability of Equatorial Plasma Bubbles (EPBs) is an ongoing scientific challenge. Various methods for predicting EPBs have been developed, however, the research community is yet to scrutinize the methods for evaluating and comparing these prediction models/techniques. In this study, 12 months of co‐located GPS and UHF scintillation observations spanning South America, Atlantic/Western Africa, Southeast Asia, and Pacific sectors are used to evaluate the Generalized Rayleigh‐Taylor (R‐T) growth rates calculated from the Thermosphere Ionosphere Electrodynamics General Circulation Model (TIEGCM). Various assessment metrics are explored, including the use of significance testing on skill scores for threshold selection. The sensitivity of these skill scores to data set type (i.e., GPS versus UHF) and data set size (30, 50, 60, and 90 days/events) is also investigated. It is shown that between 50 and 90 days is required to achieve a statistically significant skill score. Methods for conducting model‐model comparisons are also explored, including the use of model “sufficiency.” However, it is shown that the results of model‐model comparisons must be carefully interpreted and can be heavily dependent on the data set used. It is also demonstrated that the observation data set must exhibit an appropriate level of daily EPB variability in order to assess the true strength of a given model/technique. Other limitations and considerations on assessment metrics and future challenges for EPB prediction studies are also discussed.
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DOI:
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发表时间:
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