We compare the data to geosynchronous GOES‐17 observations and find a good correlation between their daily variations (correlation coefficients > 0.6) and reasonable agreement in their power spectral index ranges (between −3.0 and −3.5). Since 2019, the satellite measures electron flux in the energy range between ∼30 keV and ∼2 MeV, at an altitude of 575 km and a local time of 22:30. In this study, we introduce the energetic electron data produced by a Korean Low‐Earth‐Orbit satellite, NextSat‐1.

However, after the decommissioning of VAP, only a few spacecraft are continuously monitoring the radiation belt. Radiation belt science has a long history since the first discovery in the 1950s, and many of the unanswered questions were solved during the Van Allen Probes (VAP) era between 20. The Earth's radiation belt consists of energetic particles which can potentially harm space assets and astronauts. Such dependency analysis can help to select the model parameters that influence the variation of multi‐MeV electrons flux and improve the existed models of the dynamical system. Given three ranges of L‐shell (∼4, ∼4.5 and ∼5), with decreasing L‐shell values the maximum information transfer from driving parameters into electron flux decreases and the lag time increases. Thus, solar wind velocity is the dominant driving parameter for the variation of multi‐MeV electrons flux in the outer radiation belt. The result identifies the rank of driving parameters based on their maximum values in the correlation and information transfer analysis. The results indicate that the information transfer from solar wind and IMF parameters into multi‐MeV electrons flux is dependent on the kind of driving parameter, range of L‐shell, and energy of electrons. The Van Allen Probes mission measurements of multi‐MeV (3.4–6.3 MeV) electrons flux data in the period from Januto Decemhave been used. This study attempts to characterize the causality and timing of the solar wind and IMF parameter activities on the outer radiation belt environment based on three tools: time shifted cross correlation, mutual information, and transfer entropy statistical analysis. The Earth's outer radiation belt is highly dynamic and the variations of multi‐MeV electrons flux in the region depend on solar wind and interplanetary magnetic field (IMF) parameters. Quantitative analysis of refereed publications from these CubeSat missions and several larger missions reveals that mission outcome metrics compare favorably when publication number is normalized by mission cost or if expressed as a weighted net scientific impact of all mission publications. We conclude that these missions were successful in part because their limited resources promoted not only mission focus but also appropriate risk-taking for comparatively high science return. In this paper, we describe recent achievements and lessons learned from a representative selection of successful CubeSat missions with a space weather focus.

Several projects now have used CubeSats to obtain first-of-their-kind observations and findings that have formed the basis for high-profile engineering and science publications, thereby establishing without doubt the scientific value and broad utility of CubeSats. However, the last decade has seen the highly successful implementation of space missions that make creative and innovative use of fast-advancing CubeSat and small satellite technology to carry out important science experiments and missions. When the first CubeSats were launched nearly two decades ago, few people believed that the miniature satellites would likely prove to be a useful scientific tool.

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