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The density trend sensors can analyze and give the density trend of sensors and vectors.
The density trend (Figure 5) is smooth and slowly increasing for all observed points (red dots).
There are some forwarding vectors and density trend sensors in Fig. 1.
Road density trend analysis is often too coarse and assumes homogeneous landscapes, whereas spatial transition probability analysis captures landscape variability typical of ecoregions.
An unexpectedly large decrease of thermospheric density in the recent extreme solar cycle minimum could make a problem in further thermospheric density trend estimates.
Intuitively, with a higher MSD, a shorter diffusion length can be expected and thus this explains the density trend: higher density with lower index of surface [39, 40].
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Emmert and Picone ([2011]) dealt with estimating statistical uncertainty of thermospheric density trends.
Since, the density of pure DESs is more than that of water, the resulting aqueous mixtures density trends were similar.
Fig. 7 Thermospheric neutral density trends near 400 km derived from satellite drag over three solar cycles (Emmert et al. 2008).
Further, there is now a better understanding of why the thermospheric density trends are much stronger under solar cycle minimum conditions.
Figures 7 and 8 display the same three statistics and regional mean density trends as in Figure 6 for the other two simulation periods, namely 1991 2003 and 1995 2003.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com