A unique station sharing partnership for extending mutual ground station network coverage

Operational meteorologists and Oceanographers rely on real-time environmental data to run their numerical prediction models, even carry on the research. The ground station network is dense and the data of good quality, but there is not enough environmental data from the oceans, particularly in data-sparse areas not covered by commercial ships reporting environmental data. A drifting ocean buoy is described. The drifter consists of three main components: a surface float, a tether assembly and a dimensionally-stable drogue. It utilizes a drag structure which follows the water mass of the ocean as it flows in the form of the ocean current, and which also has an aerodynamically shaped low wind drag mast to minimize wind induced errors in ocean current drift measurements; the drag structure also being stable and resistant to heaving (pitch and roll) so as to maintain a mast carried antenna above the water even at high sea states.

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Operation System for Micro and Nano Satellites by Low-Cost Ground Station Network

SpaceOps 2016 Conference ◽

10.2514/6.2016-2425 ◽

2016 ◽

Author(s):

Yuji Sakamoto ◽

Ryo Ishimaru ◽

Alvin E. Retamar

Keyword(s):

Low Cost ◽

Operation System ◽

Station Network ◽

Ground Station

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Ground Station Network Scheduling through Genetic and Deterministic combined algorithm

15th International Conference on Space Operations ◽

10.2514/6.2018-2725 ◽

2018 ◽

Cited By ~ 1

Author(s):

Roberta Falone ◽

Giuseppe Corrao

Keyword(s):

Network Scheduling ◽

Station Network ◽

Ground Station ◽

Combined Algorithm

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Analysis of geomagnetic disturbances dynamics during increased solar activity and magnetic storms (according to the measurements of INTERMAGNET station network)

E3S Web of Conferences ◽

10.1051/e3sconf/201912702003 ◽

2019 ◽

Vol 127 ◽

pp. 02003

Author(s):

Oksana Mandrikova ◽

Anastasia Rodomanskay ◽

Alexander Zaitsev

Keyword(s):

Geomagnetic Activity ◽

Geomagnetic Field ◽

Auroral Zone ◽

Magnetic Storms ◽

Magnetic Data ◽

Field Variation ◽

Geomagnetic Disturbances ◽

Station Network ◽

Ground Station ◽

Automated Method

We present and describe an automated method for analysis of magnetic data and for detection of geomagnetic disturbances based on wavelet transformation. The parameters of the computational algorithms allow us to estimate the characteristics of non-uniformly scaled peculiar properties in the variations of geomagnetic field that arise during increasing geomagnetic activity. The analysis of geomagnetic data before and during magnetic storms was carried out on the basis of the method according to ground station network. Periods of increasing geomagnetic activity, which precede and accompany magnetic storms, are highlighted. The dynamic of geomagnetic field variation in the auroral zone is considered in detail.

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