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By using the obtained global images, development of the atmospheric structure can be monitored, and wind vectors can be derived by tracking small-scale cloud features (Kouyama et al. 2012, 2013; Ogohara et al. 2012a, b; Ikegawa and Horinouchi 2016).
By using these successive images, the development of the atmospheric structure is monitored, and wind vectors are derived by tracking small-scale cloud features with cross-correlation method (Rossow et al., 1990).
In this report, we will review shortly the basic development of the atmospheric air Cherenkov light detection technique, particularly the imaging telescope technique, which in the last years led to the firm establishment of a new branch in experimental astronomy, namely ground-based very high-energy (VHE) γ ray astronomy.
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The development of the discontinuous atmospheric pressure interface (DAPI) enabled the coupling of miniature mass spectrometers to atmospheric pressure ionization sources, including electrospray ionization (ESI), atmospheric pressure chemical ionization (APCI), and various ambient ionization sources.
In order to satisfy the requirements and demands involved in different biomedical and industrial fields for devices able to promote the production of different reactive and charged species at ambient temperature and deliver them into the surrounding environment, jet configurations were taken into account, leading to the development of the cold Atmospheric Pressure Plasma Jets (APPJs).
In this paper, a three stage approach was used in the development of the model using some atmospheric parameters such as atmospheric temperature, relative humidity and dew point.
A principal component analysis performed on the same data allowed the development of an atmospheric persistence index (API), and a LRT index.
An icosahedral grid is a globally quasi-uniform and is possibly the most suitable base for the development of an atmospheric model that can be run on a supercomputer.
Prog Earth Planet Sci 1 18 doi:10.1186/Satoh5-014-0018-1. Satoh et al. (2014) introduced global non-hydrostatic atmospheric models and overviewed the scientific aspects and development of the Non-hydrostatic Icosahedral Atmospheric Model (NICAM).
The development of rapid atmospheric source term estimation system (RASTES) for AP1000 nuclear power plant (NPP) is described.
With the development of automated atmospheric correction algorithms, it is now feasible to produce large quantities of surface reflectance products using Landsat images.
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